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Physical assistive robotics are oriented to support and improve functional capacities of people. In physical rehabilitation, robots are indeed useful for functional recovery of affected limb. However, there are still open questions related to technological aspects. This work presents a systematic review of upper limb rehabilitation robotics in order to analyze and establish technological challenges and future directions in this area. A bibliometric analysis was performed for the systematic literature review. Literature from the last six years, conducted between August 2020 and May 2021, was reviewed. The methodology for the literature search and a bibliometric analysis of the metadata are presented. After a preliminary search resulted in 820 articles, a total of 66 articles were included. A concurrency network and bibliographic analysis were provided. And an analysis of occurrences, taxonomy, and rehabilitation robotics reported in the literature is presented. This review aims to provide to the scientific community an overview of the state of the art in assistive robotics for upper limb physical rehabilitation. The literature analysis allows access to a gap of unexplored options to define the technological prospects applied to upper limb physical rehabilitation robotics.

 

 

This study was motivated by the observed growth and increased significance of situation awareness (SA) in recent years. Despite its acknowledged importance, a notable gap exists in the literature regarding comprehensive systematic reviews of SA within the aviation sector. This gap spurred a meticulous analysis of 754 articles from the Web of Science (WoS) core database for bibliometric knowledge mapping. The primary aim was to fill this gap and acquire a holistic understanding of SA in aviation. This analysis highlighted the USA as the primary contributor to publications, with NASA leading among the institutions in paper contributions. Human Factors and the International Journal of Aerospace Psychology were the leading journals in this domain. This bibliometric study underscored the key focus on healthcare, aviation, performance, workload, and safety through co-occurrence and co-citation analyses. A chronological examination of keywords revealed a central research trajectory centered on patient and crew safety and the impact of automation on human performance in dynamic flight scenarios. Burst keyword analysis pinpointed leading-edge research in SA within healthcare, model, and system design, and the implications of human factors. This study explored the research landscape of SA in aviation using a bibliometric approach. The outcomes shed light on the present research landscape and expedite scholars’ comprehension of advancements in this pivotal field. Finally, we derived a conceptual framework using the main components found in the literature. This framework will help researchers identify the main dimensions of SA.

 

 

To carry out an in-depth analysis of the scientific research on autoimmunity, we performed the first bibliometric analysis focusing on publications in journals dedicated to autoimmunity (JDTA) indexed by science citation index during the period 2004–2023. Using bibliometric analysis, we quantitatively and qualitatively analyzed the country, institution, author, reference and keywords information of publications in JDTA, so as to understand the quantity, publication pattern and publication characteristics of these publications. The co-occurrence networks, clustering map and timeline map were created by CiteSpace and VOSviewer software to visualize the results. The CiteSpace was also used to analyze the strongest citation burst of keywords, which could describe the frequency, intensity and time period of high-frequency keywords, and indicate the research hotspots in the field. A total of 5 710 publications were analyzed, and their annual distribution number was basically stable from 2004 to 2023, fluctuating around 300. The United States and Italy led the way in terms of the number of publications, followed by France and China. For international cooperation, the developed countries represented by the United States cooperate more closely, but the cooperation was localized, reflecting that there was no unified model of autoimmunity among countries. UDICE-French Research Universities had the greatest number of publications. Subsequently, the number of publications decreased slowly with the ranking, and the gradient was not large. Eric Gershwin and Yehuda Shoenfeld stood out among the authors. They had an excellent academic reputation and great influence in the field of autoimmunity. The results of keyword analysis showed that JDTA publications mainly studied a variety of autoimmune diseases, especially SLE and RA. At the same time, JDTA publications also paid special attention to the research of cell function, autoantibody expression, animal experiments, disease activity, pathogenesis and treatment. This study is the first to analyze the publications in JDTA from multiple indicators by bibliometrics, thus providing new insights into the research hotspots and development trends in the field of autoimmunity.

 

 

Caenorhabditis elegans (C. elegans) is a nematode and model organism whose entire genome has been mapped, which allows for easy observation of the organism’s development due to its transparent structure, and which is appealing due to its ease of crossover, ease of culture, and low cost. Despite being separated by nearly a billion years of evolution, C. elegans homologs have been identified for the vast majority of human genes and are associated with C. elegans for many biological processes such as apoptosis, cell signaling, cell cycle, cell polarity, metabolism, and aging. A detailed bibliometric study is performed here to examine publication trends in this field. Data were taken from the Web of Science database and analyzed using the bibliometric application Biblioshiny (RStudio). In terms of publication, the results indicated a gradual increase each year between 1980 and 2023. A total of 20,322 records were issued in 96 countries, the majority of which were in the USA, China, and Japan. The most prolific writers, the journals most engaged in the area, the nations, institutions, and keywords used by authors were all determined using the Web of Science database and bibliometric rules. The number of papers in the C. elegans research field is increasing exponentially, and Genetics is the journal with the highest number of articles. This study presents how research patterns have evolved throughout time. As a result, worldwide cooperation and a potential field can be developed.

 

 

Agile software development has reached wide adoption in various countries including Turkey, even though from which its original cultural backgrounds differ. In Turkey, many organizations have started to adopt Agile approaches more and more in their software development processes. This interest in the country’s software development is parallel to what the academic literature on Agile in the country exhibits. However, despite the prevalence of Agile in Turkey, there is a lack of sufficient secondary research and comprehensive review on Agile in Turkey, which poses a significant necessity for further investigation. Considering this gap, we performed a quantitative bibliometric analysis of Agile software development publications produced by Turkish organizations in a holistic and broad approach both for scholars and practitioners. We provide a summary of relevant academic studies that emerged in Agile research in Turkey by focusing on many aspects including bibliometric properties of papers, researchers, affiliations, venues, and thematic contents that are separated into 15 sub-research questions. After delivering results based on the questions, we discuss the results and findings of our study and present implications regarding the findings. The main contributions of our work are twofold. First, the paper may help the readers to have a quick idea, understand the subject, and gain insight from a large volume of scientific data. Second, the paper can help readers to use these analyses to form future research.

 

 

Despite numerous reviews of space syntax research, there has been little emphasis on the field’s main characteristics and tendencies, including publication trends, geographical distribution, leading authors and institutions, collaboration networks, influential publications, research fronts, and research gaps. Bibliometric analysis techniques were employed to review nearly five decades of publications (1976–2023) drawn from multiple data sources to assess the field’s annual trend of publications; its social, intellectual, and conceptual structures; and future research directions. The findings provide an overview of the landscape of space syntax studies and a valuable reference for a wide range of academics and professionals.

 

 

Translational regulation plays the most critical role in gene expression. Ribosome profiling sequencing (Ribo-Seq) is one of the methods to study translation and its regulation. It is a high throughput technology based on deep sequencing, which targets ribosome protected mRNA fragments to produce a ‘global snapshot’ of translatome. There has been an annual increase in the number of publications incorporating Ribo-seq technology. Because of its importance, we used PubMed database to conduct a comprehensive bibliometric analysis on Ribo-seq. We identified 2744 published articles that utilized the term ‘Ribo-seq’ between 2009 and Jan 2024, and 684 articles that contained both Ribo-seq and RNA-seq terms. Based on keywords correlation analysis, we discovered that the primary focus of Ribo-seq articles lies in the areas of translation, transcriptome, and ribosome in the past few years and other topics such as single-cell ribo-seq and crispr within two years, reflecting current areas of interests in Ribo-seq research. The Ribo-seq data analysis applications were also explored and summarized, providing a guide for researchers to choose corresponding tools for different types of analysis. Overall, we highlighted the advances made by Ribo-seq technologies, and the possibilities of utilizing machine learning models to unravel information from multi-omics data. The integration of Ribo-seq with other omics data, such as RNA-seq, is essential to understand the gene expression in complex biological systems.

 

 

Attachment theory is a key paradigm for understanding individual differences for the elaboration of the grieving processes, however limited attempts to systematically synthesize are found on the literature. Our aim is to conduct a bibliometric analysis about the relationship between complicated grief and attachment over the past twenty years. A bibliographic search was made in the Core Collection of Web of Science, the bibliometric analysis was performed using the software Hiscite version 2010.12.6, and VosViewer were used for the construction of bibliometric maps. Results show 276 publications from 2003 until 2023 from 789 authors, published in 143 scientific journals. The field presents a regular increase and sustained number of publications. The topics most researched were bereavement, complicated grief and attachment, and since 2018 has been increased interest in prolonged grief disorder. In conclusion, this bibliometric analysis contributes to the understanding of the current state of this topic and its evolution, being relevant to consider attachment style in bereavement interventions.

 

 

Research on teacher beliefs has gained significant attention from scholars, resulting in a vast body of literature. To understand the current trends, themes, key contributors, and emerging areas in this domain, we utilized CiteSpace to review 1,731 teacher beliefs publications from 1951 to 2023 through the WOS database. The findings indicate that:1) Over recent decades, there has been a consistent increase in publications concerning teacher beliefs, which is still promising in recent years. 2) The research themes can be divided into professional development, teaching practices, self-efficacy, theoretical orientation, and student performance. 3) There is a noticeable lack of collaboration both across academic institutions and among different authors in the field of teacher beliefs research. 4) In terms of research hotspots, it can be roughly divided into the external environment, the belief ontology, and teaching practices. 5) In terms of research frontiers, four main research frontiers were identified in different periods: epistemological belief, implementation, inclusive education, and English. This study contributes to researchers’ understanding of the developmental trajectory of teacher beliefs research, thus providing references and guidance for future research endeavors.

 

 

During the COVID-19 pandemic, the healthcare system and the global supply chain were exposed to an unpredicted event, which increased awareness about the need of more effective strategies to support decision-making process and to empower safety barriers. In this work, a combined scientometric and systematic review was performed to analyze tools and methodologies able to combine resilience with more traditional risk assessment, learning from the experience posed by the COVID-19 crisis. Bibliometric and literature content analyses were carried out focusing on resilience management upon the incoming of an unexpected event. The systematic analysis of the methods and models developed on the basis of different pandemic waves provides a natural guide for future research development.

 

 

Objectives To examine the 16-year developmental history, research hotspots, and emerging trends of zinc-based biodegradable metallic materials from the perspective of structural and temporal dynamics. Methods The literature on zinc-based biodegradable metallic materials in WoSCC was searched. Historical characteristics, the evolution of active topics and development trends in the field of zinc-based biodegradable metallic materials were analyzed using the bibliometric tools CiteSpace and HistCite. Results Over the past 16 years, the field of zinc-based biodegradable metal materials has remained in a hotspot stage, with extensive scientific collaboration. In addition, there are 45 subject categories and 51 keywords in different research periods, and 80 papers experience citation bursts. Keyword clustering anchored 3 emerging research subfields, namely, #1 plastic deformation #4 additive manufacturing #5 surface modification. The keyword alluvial map shows that the longest-lasting research concepts in the field are mechanical property, microstructure, corrosion behavior, etc., and emerging keywords are additive manufacturing, surface modification, dynamic recrystallization, etc. The most recent research on reference clustering has six subfields. Namely, #0 microstructure, #2 sem, #3 additive manufacturing, #4 laser powder bed fusion, #5 implant, and #7 Zn–1Mg. Conclusion The results of the bibliometric study provide the current status and trends of research on zinc-based biodegradable metallic materials, which can help researchers identify hot spots and explore new research directions in the field.

 

 

During passive solar design of greenhouses, engineers usually encounter issues such as building form parameter selection. Suitable parameters can help to reduce energy losses related to interior temperature control and relatively intensive crop production. However, by using bibliometric analyses, no existing review works provide concise parameter selection lists. To fill in this gap, this paper compares and evaluates various passive technologies for greenhouse design in five areas: (1) orientation, (2) building structures, (3) envelope materials, (4) heat storage options, and (5) numerical modeling. First, the orientation of a passive solar greenhouse significantly influences its performance. Second, greenhouses exhibit various architectural shapes, including single- and multispan, with transparent and opaque envelopes. Third, greenhouses usually include envelopes constructed from transparent materials, opaque materials, and movable insulation materials. Fourth, most passive greenhouses provide daily energy storage systems equipped with storage media, including water, soil, rock, brick, and phase change material (PCM). Finally, this paper reviews numerical modeling and performance evaluations for passive greenhouses.

 

 

When a graphical representation of the cumulative percentage of total citations to articles, ordered from most cited to least cited, is plotted against the cumulative percentage of articles, we obtain a Leimkuhler curve. In this study, we noticed that standard Leimkuhler functions may not be sufficient to provide accurate fits to various empirical informetrics data. Therefore, we introduce a new approach to Leimkuhler curves by fitting a known probability density function to the initial Leimkuhler curve, taking into account the presence of a heterogeneity factor. As a significant contribution to the existing literature, we introduce a pair of mixture distributions (called PG and PIG) to bibliometrics. In addition, we present closed-form expressions for Leimkuhler curves. Some measures of citation concentration are examined empirically for the basic models (based on the Power and Pareto distributions) and the mixed models derived from these. An application to two sources of informetric data was conducted to see how the mixing models outperform the standard basic models. The different models were fitted using non-linear least squares estimation.

 

 

Parkinson’s disease is the second most common neurodegenerative disorder in the world. Thousands of scientific works are published every year. We have analyzed more than 3 thousand organizations, who have published works on various aspects of parkinson’s disease in the period from 2015 to 2021. We have evaluated 4 classical centrality indices (In-degree, Eigenvector, Pagerank and Betweenness) and 2 new centrality indices. The new indices allow to take into account group influence and to identify pivotal nodes. Using the method, we have extracted the most influential organizations in the scientific area of parkinson’s disease. Stability analysis allows us to measure the value of dynamic changes in the network during the period under consideration.

 

 

Information technologies are being extensively used by social entrepreneurs to achieve their social and financial goals. Studies on the convergence of social entrepreneurship with digital entrepreneurship is, nevertheless, lacking. Also, studies that relate corporate social responsibility (CSR), innovation, sustainability, and the integrated notion of digitalization of social entrepreneurship (DSE) are also questioned. This study sought to identify prospective topics for future researches to link DSE with various parameters by conducting a bibliometric review utilizing data pulled from the Scopus database. The clustering by document coupling analysis pinpointed to the industry 4.0 and digital economy themes, as well as to more specialized, COVID-19, innovation, sustainable development, and CSR themes. The study identified a number of themes that are under appreciated, such as social innovation, agro-ecology, and agriculture. The keyword co-occurrence network mostly identified five study areas, social entrepreneurship intentions, social enterprise sustainability and economic growth, sustainable development and socio-economic effects of DSE, entrepreneurs’ social innovation and business development, and industry 4.0, the digital economy and CSR.

 

 

The growing concern about the environment and the demand for the financing of green and sustainable projects have gained the interest of scholars, with hundreds of publications finding space in academic literature. We document a comprehensive outline of the intellectual landscape of green finance research using the Scopus database. We find China as the leading contributor to green finance research and science and environment journals in publishing green finance articles. We identify green financing, environmental protection, environmental regulation, development of green financing policy, green finance instruments, carbon credit, carbon pricing, and carbon emissions as emerging areas that need more attention. Our study is helpful for scholars, policymakers, and funding agencies to prioritize their research for achieving the status of a green economy.

 

 

Trust, safety, and quality are among the most important factors in the agri-food supply chains. Traceability is a powerful tool to ensure them, but implementing a transparent and effective system is a complex operation. As a result, innovative systems, like blockchain, could be introduced. Although research on its impacts in the agri-food is recent, the literature appears fragmented. The objective is to investigate the studied aspects of the blockchain adoption in agri-food, with the purpose of retrieving meaningful considerations about the current state of the art about strategic high-value supply chains, such as wine and olive oil, particularly subjected to fraudulent behaviors. A productivity measurement was applied to retrieve the evolution of the number of documents through the years, the most productive countries, the sources, the research areas, and the most significant papers in terms of number of citations received. To understand the research trends, a co-occurrence analysis was employed. Results show that most of the existing studies focus on the role of blockchain in the resolution of some critical issues as food safety and frauds. While wine is currently an emerging sector in which this approach can be implemented, olive oil still needs more attention. In both cases, blockchain could potentially help to support the profitability and sustainability of the production. The research underlines the importance of focusing on the environmental and social dimension of the blockchain phenomenon and the use of technology to improve the efficiency of agri-food chains and reduce waste and resource use.

 

 

Aim The objective of this study was to shed light on the topic of coccidynia, a condition of significant importance within the field of neurosurgery, by examining the scientific publications dedicated to its understanding and treatment. By conducting a comprehensive bibliometric analysis, we aimed to explore the extent of research conducted on coccidynia, identify key contributing countries, prolific authors, and prevalent research themes. Our study sought to provide an in-depth understanding of the temporal evolution of coccidynia literature and contribute to the accumulation of knowledge in this specialized area. Material and method To achieve our objective, we conducted an extensive literature search utilizing the esteemed Web of Science database. Through the advanced search engine within the WOS system, we meticulously curated a comprehensive dataset by focusing on the keyword “coccydynia treatment.” This specific keyword allowed us to identify relevant scientific articles and publications related to the treatment of coccidynia. The dataset was then analyzed to extract crucial information, including the number of articles published over time, the geographic distribution of research, the co-authorship patterns among researchers, and the prevalent keywords associated with coccidynia literature. Results Our investigation revealed intriguing insights into the landscape of coccidynia research. We discovered that the earliest scientific article on this subject was published in 1991, signifying the relatively recent emergence of scholarly interest in this domain. Notably, the volume of publications experienced a substantial surge after 2010, suggesting a growing recognition of coccidynia’s clinical significance. In total, we identified and examined 143 articles published between 1970 and 2023, encompassing several decades of scientific inquiry into the condition. By meticulously analyzing the geographical distribution of research, we found that the United States of America emerged as the leading country in terms of producing publications on “coccydynia treatment.” Within this literature, we also identified key authors who made significant contributions to the field, with notable names including Maigne JY, Finsen V, and Knobloch RG. Moreover, our analysis of citation patterns revealed that articles originating from the United States received a commendable number of citations, with an average of 3.48 citations per article, while publications from Turkey garnered an average of 2.33 citations per article. Furthermore, we identified the most frequently utilized keywords in coccidynia literature, highlighting the emphasis placed on terms such as “idiopathic coccygodynia,” “sitting position,” “coccydynia,” “coccyx,” and “coccygectomy.” By conducting this bibliometric analysis of original scientific studies published since 1970, our study contributes to the existing knowledge base regarding coccidynia and its treatment. Conclusion Through our meticulous bibliometric analysis, we have contributed to the existing body of knowledge surrounding coccidynia and its treatment. The comprehensive examination of scientific publications since 1970 has provided valuable insights into the temporal evolution of research on this condition. Our findings highlight the growing interest and recognition of coccidynia as a clinically significant neurosurgical topic. The identification of leading countries, prolific authors, and prevalent research themes serves as a foundation for future investigations and allows researchers to better understand the landscape of coccidynia research. We emphasize the importance of periodic updates and revisions to these studies, ensuring that the scientific community has access to the most current and comprehensive information for rational analysis and decision-making in the field of coccidynia research and treatment.

 

 

Objectives to provide objective quantitative data about medical-related scientific production in Hispanic Latin America compared to different regions and identify demographic and political variables that could improve research. Study design This is an analytical, observational, cross-section bibliometric study about all fields of medical-related scientific production over five years in different regions and its relationship with demographic and political variables that could impact research and the health system quality. Methods Data on the total scientific production of all Hispanic Latin American countries and other countries representing almost 90% of mundial publications between 2017 and 2021 were retrieved from the PubMed database. Demographic and political data were obtained from open online databases. Counts of publications were rationed to population and analyzed with all other demographic, region, and language variables, using univariate Poisson regression and negative binomial regression (for over-disperse variables) analysis. Multivariate negative binomial regression was used to analyze the combined effect of variables related to the healthcare and research Sectors. Results Hispanic Latin America increased yearly from 29,445 publications in 2017 to 47,053 in 2021. This cumulative growth of almost 60% exceeded the 36% increment in all countries’ publications and was only below that of Russia and China, which grew 92% and 87%, respectively. Negative binomial regression showed that the percentage of gross income dedicated to research (IRR 2.036, 95% CI: 1.624, 2.553, p< .001), life expectancy at birth (IRR 1.444, 95% CI: 1.338, 1.558, p< .001), and the number of medical doctors per inhabitant (IRR 1.581, 95% CI: 1.17, 2.13, p = .003) positively impacted scientific production. A higher mortality associated with chronic diseases between ages 30 and 70 (IRR 0.782, 95% CI: 0.743 0.822, p< .001) and a lower population with access to medicine (IRR 0.960, 95% CI: 0.933, 0.967, p< .001) were found to impact scientific production negatively. Hispanic Latin American countries published less than 20% of those with English as their native language (p< .001). Conclusion Hispanic Latin America has increased the gross number of publications by almost 60 % from 2017 to 2021. However, the number of publications per 100,000 inhabitants is still low compared to other countries. Our analysis highlights that this may be related to lower GDP, research investment, and less healthcare system quality.

 

 

Background Renal microcirculation plays a pivotal role in kidney function by maintaining structural and functional integrity, facilitating oxygen and nutrient delivery, and waste removal. However, a thorough bibliometric analysis in this area remains lacking. Therefore, we aim to provide valuable insights through a bibliometric analysis of renal microcirculation literature using the Web of Science database. Methods We collected renal microcirculation-related publications from the Web of Science database from January 01, 1990, to December 31, 2022. The co-authorship of authors, organizations, and countries/regions was analyzed with VOSviewer1.6.18. The co-occurrence of keywords and co-cited references were analyzed using CiteSpace6.1.R6 software to generate visualization maps. Additionally, burst detection was applied to keywords and cited references to forecast research hotspots and future trends. Results Our search yielded 7462 publications, with the American Journal of Physiology-Renal Physiology contributing the most articles. The United States, Mayo Clinic, and Lerman Lilach O emerged with the highest publication count, indicating their active collaborations. ‘Type 2 diabetes’ was the most significant keyword cluster, and ‘diabetic kidney disease’ was the largest cluster of cited references. ‘Cardiovascular outcome’ and ‘diabetic kidney diseases’ were identified as keywords in their burst period over the past three years. Conclusion Our bibliometric analysis illuminates the contours of nephrology and microcirculation research, revealing a landscape ripe for challenges and the seeds of future scientific innovation. While the trends discerned from the literature emerging opportunities in diagnostic innovation, renal microcirculation research, and precision medicine interventions, their translation to clinical practice is anticipated to be a deliberate process.

 

 

Solar energy presents a promising solution to replace fossil-based energy sources, mitigating global warming and climate change. However, solar energy faces socio-economic, environmental, and technical challenges. Computational tools like machine learning offer solutions to these technical challenges. Despite numerous studies, there’s a lack of comprehensive research on ML applications in Photovoltaics and Solar Energy. This study conducts a critical analysis of ML applications in Photovoltaics and Solar Energy research using publication trends and bibliometric analysis, employing the PRISMA approach on Scopus database. Results reveal a high publication output, citations, and international collaboration. Notable researchers include G. E. Georghiou and Haibo Ma, with the Ministry of Education (China) being a prolific affiliation. China emerges as the most active nation due to funding programs like the National Natural Science Foundation and the National Key Research and Development Program. This research contributes in terms of providing an analysis of publication patterns from 2014 to 2022, including topic categories and important metrics, at the levels of country, institution, and funding organisation. Analysing author-keyword data to aggregate publishing themes and identify the most influential journals. Enhancing comprehension of hotspots and focal points in machine learning applications in Photovoltaics and Solar Energy research. This research also aims to discuss the role of Cognitive Computing in cancer/tumor and oncological research, emphasising the potential for significant advancements and the obstacles that need to be overcome in order to fully utilise its advantages. Future studies on the topic could include extensive research into the cybersecurity of Photovoltaics and solar energy systems particularly in the wake of numerous malware, phishing, and other intrusion attacks on the energy and grid infrastructure worldwide.

 

 

The interest in the concept of resilience has been growing consistently over the past few years to study the functionality and behavior of systems against natural and man-made hazards. Yet a comprehensive, updated review of methods and frameworks to assess and improve the resilience and safety of civil engineering systems and communities is lacking. In this paper, a bibliometric and visualization method is implemented to explore the status of resilience research in civil engineering applications by analyzing journal papers published from 1996 to 2020. The concept of resilience and safety is investigated through eight subject categories identified by the authors in the literature: recovery time strategies and downtime, critical infrastructures, probabilistic approaches, fuzzy logic approaches, structural health monitoring, health care facilities, emergency management and decision-making, community and urban resilience. Results show that resilience research has increased rapidly since its introduction, most notably in the past seven years. The analysis identifies two main research approaches: frameworks and conceptual models, and case study based. The latter is the most adopted methodology by the analyzed works. In terms of geographical distribution, most of them have been carried out in the USA, the United Kingdom, China, and Italy. The authors’ keywords analysis reveals that recovery strategies, critical infrastructures, vulnerability, and community resilience and safety have attracted prominent attention in the past decade. Finally, we conclude that further multidisciplinary research is needed to model multi-hazard scenarios and cascading effects, to collect data, and to define new performance metrics.

 

 

This study aims to explore the research trends and patterns of major issues connecting climate change and the Sustainable Development Goals (SDGs) by employing a bibliometric analysis. The study has found that there is an increasing number of research and policies in various countries committed to finding and implementing strategies to solve climate change issues. The countries with the most research in this field are China, India, the United States, the United Kingdom, and Australia, with Environmental Sciences & Ecology being the most published domain. The study has identified 19 clusters intersecting with climate change and SDGs, with the top five clusters in terms of proportion related to agricultural and food systems, water and soil resources, energy, economy, ecosystem, and sustainable management. This study also presents the trend changes of research topics intersecting climate change and SDGs every 2–3 years. Especially in the recent two years, with the convening of COP26 and COP27 and the advocacy of Net Zero and CBAM (Carbon Border Adjustment Mechanism) of the EU, important topics include renewable energy, protection of ecosystem services, life cycle assessment, food security, agriculture in Africa, sustainable management, synergies of various policies, remote sensing technology, and desertification among others. This shows an increasingly diversified range of important topics being discussed in relation to climate change and sustainable development goals.

 

 

Today, assumptions about probable future developments (at least as far as they make use of quantifiable scientific methods and are not pure speculation) are generally based on data from the past. An interesting way to analyze the future through this type of data is text mining or individual methods out of the spectrum of text mining, such as topic modeling. Topic Modeling itself is a combination of quantitative and qualitative methodology and is based on the full spectrum of social science methodology. Therefore, the method is an interesting way for futures research to analyze futures. This publication addresses the question of how a combination of different methods can contribute to trend monitoring or trend mining. For this purpose, a set of scientific publications was first generated with the help of a search query in the Web of Science (WoS), which is the basis for all evaluations and statements and topics. In essence, the method considered here should be more fully integrated into the scientific practice of futures research because it can make a valuable contribution to estimating future development based on past development.

 

 

Ecotechnology, quintessential for crafting sustainable socio-environmental strategies, remains tantalizingly uncharted. Our analysis, steered by the nuances of machine learning and augmented by bibliometric insights, delineates the expansive terrain of this domain, elucidates pivotal research themes and conundrums, and discerns the vanguard nations in this field. Furthermore, we deftly connect our discoveries to the United Nations’ 2030 Sustainable Development Goals, thereby accentuating the profound societal ramifications of ecotechnology.

 

 

The rapid advancements in technology have opened up new doors for both teachers and students to explore, learn, and create in innovative ways. However, this progress has also brought forth new challenges and complexities that demand a deeper understanding of the use of technology in art education. In this context, bibliometric analysis has emerged as a potent tool to examine emerging trends in the intersection of technology and art education. Employing the PRISMA approach (Preferred Reporting Items for Systematic Review and Meta-Analysis) and utilizing relevant Scopus databases with standardized procedures that ensure comprehensiveness and replicability, this bibliometric study identified 29 articles. The number of published articles in 2022, at 12, exceeded that of 2021, with only 6. Furthermore, the study highlighted the top 10 countries conducting research in technology and art education, with China having 17 studies, followed by the United States with 3 and Australia with 2. The top three keywords in current research trends are Education Computing, with 9 publications, E-learning, with 8, and Virtual Reality, with 7. Other keywords that relate to technology and art education are also pertinent to the research. These findings suggest that there is a growing interest in utilizing innovative research techniques to examine the intersection of technology and art education. As emerging technologies broaden the horizons of art-making and learning, they offer new avenues for creativity and innovation, but they also demand careful consideration of their potential benefits and risks. Educators and researchers will need to work in tandem to design effective strategies for integrating these technologies in ways that encourage creativity, learning, and social justice.

 

 

Gender-based violence is a global scourge advancing unchecked, penetrating all social and cultural strata. Physical, sexual and emotional abuse seriously affects women’s freedom, with consequences not only psychological and physical but also economic, in the form of health, labour, legal and police costs. Therefore, society demands effective governmental measures based on respect for human rights and aimed at promoting equality to avoid intimidation and ill-treatment. This paper proposes to carry out a bibliometric analysis of the literature to investigate the state of the art of public policy and gender violence or domestic violence or violence against women to detect the patterns of behaviour that have marked the lines of study over the last two decades (2001–2022), by analysing a sample of 355 articles. The results reveal that scientific production has grown exponentially recently, with Brazil and the USA having the most significant involvement. Furthermore, three clearly differentiated lines of research are evident: the detection of risk factors and prevention measures; feminist movements aimed at empowering women, seeking their independence; and the qualification of care services supported by public policies. However, they all have the same objective, to achieve gender homogeneity and stop any type of violence against women and girls.

 

 

The digital revolution has been shaking up the financial sector for some time now. This is also happening in the insurance industry, which has remained unchanged for a long time. Insurtech is a phenomenon that uses new technologies to revolutionize the traditional insurance business, and it deserves to be explored in depth to understand its risks and potential. This study examines the academic literature on Insurtech through a bibliometric analysis and a systematic review, which allowed us to identify the main contributors to the topic, the main research clusters and future research directions. The results show a growing trend in scientific production on Insurtech and a strong focus on the implications of artificial intelligence and blockchain on the insurance sector. Furthermore, the analysis highlighted a strong collaboration between information technology and economics disciplines and the need for an interdisciplinary approach to understand the Insurtech phenomenon fully.

 

 

Although there have been numerous studies on the heritage attributes, characteristics, and values of the historic garden as a special category of cultural heritage, the question is why a comprehensive review combining mainstream historic garden conservation with ways of understanding the garden in a landscape context has not been conducted. Landscape is an integrative concept that combines physical features and the diversity of functions with social and ecological processes throughout the scales of time and space. Therefore, this landscape context means applying the landscape approach to explore the organic connection between the scale of evolution and the architectonic elements in relation to each other. To elaborate, instead of viewing the garden as an object in one specific temporal-spatial frame, such an approach focuses on the evolution of the site in order to identify persistent structures and other values. The method used in this study involved paper coding as qualitative analysis combined with bibliometric visualization software. We reviewed 162 studies to explore the interconnections between the historic garden and landscape approach. The result is that there are three correspondences between landscape approaches and different stages of the historic garden’s conservation and development: studies identifying the historic garden’s characteristics using landscape mapping, studies demonstrating historic gardens’ conservation based on landscape planning, and studies exploring the potential of development and reuse through landscape design. Finally, we discuss the research gaps and outline an action framework for the conservation and development of heritage gardens in a landscape context.

 

 

The TikTok platform has become widely popular among younger generations and has influenced various industries and aspects of life. This systematic literature review, using bibliometric methods, aims to examine the evolution of TikTok research from its initial development to its current status. A total of 402 journal articles from 2019 to 2022 were systematically selected from the Web of Science Core Collection. Descriptive statistical analysis identified the most contributing academic institutions, nations, journals, scholars, and influential studies. Using CiteSpace, three visualization types were implemented: cluster views, timezone views, and timeline views. The study results indicate that several TikTok research clusters exist, which summarize important topics such as the platform’s overall impact on society, politics, culture, as well as human-centric issues such as social attachment, functional tics, and their implications for public health. According to the co-word analysis, TikTok research revolves around body consciousness, social behavior, consumer behavior, and news media. The comprehensive mapping of TikTok research provides valuable insights into the current state of knowledge and identifies numerous relevant technical and social areas for future investigation. As the first bibliometric review of TikTok research, this study offers an important foundation for future scholarly inquiry in various areas.

 

 

A plethora of publications have shed light, particularly on the affordances of Artificial Intelligence (AI)-powered technology to maximize the language learning preparation, process, and outcomes. In search of the current portrait of empirical evidence in this context, this paper reports on a bibliometric mapping analysis of publications on the utilization of AI technology in language learning in the last five years (2018-2023). Relevant studies associated with the theme were collected from several journals sorted out using predetermined criteria. Eighty-eight titles and abstracts were further reviewed to generate a mapping of relevant keywords. The analysis results showed that studies on the utilization of AI technology for language learning have gradually increased in number and grabbed considerable attention among scholars in the Asia context. Several mainstream key terms attached to AI technology comprised personalized learning, mobile learning, and chatbot applications, indicating more concerns in reviewing the role of AI technology as a smart personal assistant for language learners. Furthermore, the use of AI technology was found to be beneficial for maximizing language learning preparation, language skills development such as reading and writing, and language learning evaluation particularly in providing feedback or assessing students’ works. However, challenges in using AI technology in a language learning context remain on the surface. The present mapping analysis can serve as a reference for contemplating the retrospect and envisioning the prospect of AI-powered technology use toward sustaining advanced and quality language learning.

 

 

Analyses of stable isotopes (C, O, H) in tree rings are increasingly important cross-disciplinary programs. The rapid development in this field documented in an increasing number of publications requires a comprehensive review. This study includes a bibliometric analysis-based review to better understand research trends in tree ring stable isotope research. Overall, 1475 publications were selected from the Web of Science Core Collection for 1974–2023. The findings are that: (1) numbers of annual publications and citations increased since 1974. From 1974 to 1980, there were around two relevant publications per year. However, from 2020 to 2022, this rose sharply to 109 publications per year. Likewise, average article citations were less than four per year before 1990, but were around four per article per year after 2000; (2) the major subjects using tree ring stable isotopes include forestry, geosciences, and environmental sciences, contributing to 42.5% of the total during 1974–2023; (3) the top three most productive institutions are the Chinese Academy of Sciences (423), the Swiss Federal Institute for Forest, Snow and Landscape Research (227), and the University of Arizona (204). These achievements result from strong collaborations; (4) review papers, for example, (Dawson et al., Annu Rev Ecol Syst 33:507–559, 2002) and (McCarroll and Loader, Quat Sci Rev 23:771–801, 2004), are among the most cited, with more than 1000 citations; (5) tree ring stable isotope studies mainly focus on climatology and ecology, with atmospheric CO2 one of the most popular topics. Since 2010, precipitation and drought have received increasing attention. Based on this analysis, the research stages, key findings, debated issues, limitations and directions for future research are summarized. This study serves as an important attempt to understand the progress on the use of stable isotopes in tree rings, providing scientific guidance for young researchers in this field.

 

 

Educational strategies have undergone significant transformations in an era marked by rapid globalization, advancements in communication technologies, and challenges like the COVID-19 pandemic. Amid these changes, Citizen Science (CS) has gained prominence as an innovative educational approach, particularly in fostering complex thinking skills necessary to navigate contemporary global trends. This study aims to fill the knowledge gap regarding the effectiveness of CS projects in developing complex thinking competencies within higher education. Through a bibliometric analysis of 28 Scopus-indexed articles from 2000 to 2022, this research maps the landscape of CS as an educational strategy and evaluates its alignment with complex thinking development. The analysis indicates a strong link between CS projects and the enhancement of complex thinking and its sub-competencies. It demonstrates that CS initiatives have successfully achieved their educational objectives, substantially enriching the learning experience. Furthermore, the research highlights a growing trend in applying CS for educational purposes. These findings suggest that CS can be a valuable component of higher education curricula, offering a practical method for developing critical competencies in students. The study underscores the potential of CS to contribute meaningfully to the evolution of pedagogical practices and provides a foundation for future research to build upon, particularly in the context of higher education’s response to global educational demands.

 

 

Students are central actors at Higher Education Institutions (HEIs). Whereas much can be achieved by the active participation of students in sustainability affairs, it is unclear what is the current level of students’ knowledge and engagement regarding the United Nations (UN) Sustainable Development Goals (SDGs) around the world, as well as which initiatives are being undertaken by HEIs on this matter. In order to address this research gap, this study investigated the current status of students’ knowledge and participation in initiatives aimed at the implementation of the UN SDGs. A comprehensive research methodology was carried out by means of a bibliometric analysis, case studies, and a survey involving a sample of 602 students from 53 countries. For the bibliometric analysis, data were analysed with the support of the VOSviewer software, while quantitative data analysis was performed with the support of IBM SPSS Statistics. The study shows that the participation of students in SDGs activities is associated with the commitment level of the HEIs to the implementation of the SDGs. In addition, the fact that students have taken a course or have a discipline related to the SDGs, plays a significant role in the SDGs implementation process. Moreover, the findings reveal that graduate students are more familiar with the SDGs than their undergraduate peers. The analysed HEIs case studies also demonstrate the commitment to sustainable development (SD) through different initiatives being pursued at different levels and scopes. Based on the results, the study provides recommendations on a set of specific measures that may be implemented to increase HEIs students’ interest and engagement in SD.

 

 

Countries all over the world have been seeking ways and methods so that their electrical matrices can stand out using clean and renewable energy sources. In this context, this article presents a review with analysis of sector legislation on photovoltaic solar energy in Brazil. This study was grounded in four steps: (i) sample definition; (ii) theoretical basis; (iii) network analysis; and (iv) content analysis in two stages of research. Initially, a systematic literature review was carried out in order to map all the major and most cited works. The second stage consisted in reading and performing a critical analysis of government documents and reports from the energy sector in Brazil using a few bibliometric resources for such a purpose. Its results reveal that photovoltaic solar energy in Brazil has grown and expanded to different applications, since floating solar plants and subscription to solar energy are becoming increasingly attractive. Furthermore, a possible replacement of photovoltaic solar generation for thermoelectric plants has been investigated once there are a few positive aspects yet to be found thereof. As samples of the results obtained, we have that the replacement of works would allow the photovoltaic solar energy source to increase by 1% in the electrical matrix and would stop emitting 10,738,478 tons into the atmosphere, there would be a progressive decrease in the use of tariff flags (which affect directly to the final consumer) and a reduction in operating costs would also be achieved.

 

 

Maize is the grain cereal that is the basis of human and animal diets in Mexico and Latin America; it constitutes an essential crop for global food security. The objective of this study was to analyze the spatial-temporal evolution of scientific production on the theme of GMO maize, through a bibliometric analysis of the texts available in the main editorial houses (Elsevier, Scopus, and Springer), open access journal articles database (Conricyt, Scielo, Redalyc, Latindex, Claryvate Analytics, Periodica, and DOAJ), and freely accessible web search engine Google Scholar, to determine the factors that influence the impact of the studies. From 1991 to 2019, 917 texts were found whose spatial-temporal evolution showed a linear growth that concentrated in Latin America (58.56%). The low impact (measured by the number of bibliographic citations) of scientific studies developed in countries of Latin America was related to their publication in journals edited in their own countries and in Spanish, which restricts the constructive criticism of peer review. For the case of Mexico, a spatial discrepancy was also found between research centers and production areas, which limits the transference of technology; and no specialized author in theme of GMO maize was found; the researchers responded to “scientific trends” in agreement with the agrarian policies of the time.

 

 

Purpose: The objective of this paper is to analyze, through a systematic review, the scientific production regarding the intersection of multiculturalism and leadership in school contexts. Method. Key studies exploring the intersection of both phenomena in public schools are identified, the objectives of the reviewed studies are classified, and the studies are categorized according to their main bibliometric attributes, conceptual approximations to multiculturalism, and positions associated with leadership roles. The review considered 104 documents published in the last 25 years (1994-2019), employing the PRISMA methodology. Results. Results allow the identification of tendencies and challenges for educational research in this field, among which it stands out that most studies focus both on the discourses of school communities facing their problems and on the decision-making processes or actions conducted in these contexts. Likewise, it is noticeable that scientific production is concentrated in anglophone countries (68%), predominantly reporting studies carried out in the US. Similarly, a large proportion of studies address multiculturalism from perspectives centered in indigenous-related topics and identify leadership roles associated with directive/management teams. Conclusions. These results show the need for more studies in scarcely addressed dimensions, particularly considering multiculturalism from the perspective of gender or socioeconomic diversity, as well as addressing school leadership more decisively regarding the role of teachers, considering increasingly more diverse educational scenarios.

 

 

Artificial intelligence (AI) may be one of the most disruptive technologies of the 21st century, with the potential to transform every aspect of society. Preparing for a “good AI society” has become a hot topic, with growing public and scientific interest in the principles, policies, incentives, and ethical frameworks necessary for society to enjoy the benefits of AI while minimizing the risks associated with its use. However, despite the renewed interest in artificial intelligence, little is known of the direction in which AI scholarship is moving and whether the field is evolving towards the goal of building a “good AI society”. Based on a bibliometric analysis of 40147 documents retrieved from the Web of Science database, this study describes the intellectual, social, and conceptual structure of AI research. It provides 136 evidence-based research questions about how AI research can help understand the social changes brought about by AI and prepare for a “good AI society.” The research agenda is organized according to ten social impact domains identified from the literature, including crisis response, economic empowerment, educational challenges, environmental challenges, equality and inclusion, health and hunger, information verification and validation, infrastructure management, public and social sector management, security, and justice.

 

 

Objective: To analyze bibliometric indicators of studies originated from dissertations and theses on palliative care in pediatric oncology defended in Postgraduate Programs in the Brazilian scenario. Methods: Bibliometric study conducted through the Bank of Theses and Dissertations of the Coordination for the Improvement of Higher Education Personnel (Portuguese acronym: CAPES) and the Brazilian Digital Library of Theses and Dissertations (Portuguese acronym: BDTD) between years 2008 and 2018 defended in Postgraduate Programs in Brazil. Results: The investigated bibliometric indicators highlighted 60 studies (13 theses and 47 dissertations) conducted on palliative care in pediatric oncology. The Higher Education Institution with the highest scientific production was the Universidade de São Paulo. The southeast region stood out with the largest number of publications distributed in 18 programs. The Nursing field occupied a prominent position, followed by Psychology and Medicine. The qualitative methodological design was the most used in the studies. Most studies were conducted in specialized hospitals for cancer treatment. Conclusion: A small number of studies originating from dissertations and theses on palliative care in pediatric oncology defended in Postgraduate Programs in the Brazilian scenario was identified in this investigation. Further studies are suggested to expand scientific production on the topic and disseminate scientific evidence within clinical practice of palliative care in pediatric oncology.

 

 

With the unparallel advance of leading-edge technologies like artificial intelligence (AI), the healthcare systems are transforming and shifting for more digital health. In recent years, scientific productions have reached unprecedented levels. However, a holistic view of how AI is being used for digital health remains scarce. Besides, there is a considerable lack of studies on responsible AI and ethical issues that identify and suggest practitioners’ essential insights towards the digital health domain. Therefore, we aim to rely on a bibliometric approach to explore the dynamics of the interplay between AI and digital health approaches, considering the responsible AI and ethical aspects of scientific production over the years. We found four distinct periods in the publication dynamics and the most popular approaches of AI in the healthcare field. Also, we highlighted the main trends and insightful directions for scholars and practitioners. In terms of contributions, this work provides a framework integrating AI technologies approaches and applications while discussing several barriers and benefits of AI-based health. In addition, five insightful propositions emerged as a result of the main findings. Thus, this study’s originality is regarding the new framework and the propositions considering responsible AI and ethical issues on digital health.

 

 

Researchers are developing digital solutions for agriculture. Humanity has perfected agriculture throughout history because this activity is fundamental to our existence. The agricultural sector is currently incorporating new technologies from other areas. This phenomenon is agriculture 4.0. However, a challenge to research is the integration of technologies from different knowledge fields, and this has caused theoretical and practical difficulties. Thus, our purpose with this study has been to understand the core agriculture 4.0 research themes. We have used a bibliometric analysis, and guided the data collection by the PRISMA protocol. VosViewer and Bibliometrix software generated the results. We found two main research fronts, one focussed on agriculture 4.0 development, and another on the impacts of agriculture 4.0, which may be positive or negative. We found 21 main keywords or topics researched in agriculture 4.0 related to these research fronts. These themes are within five different axes. We managed to establish a good understanding of the topics around agriculture 4.0. Future studies could focus on the responsible development of digital solutions for agriculture. This is because the social, environmental, and economic impacts of these new solutions may be positive or negative. We conclude that digital agriculture is the node technologies integration for the automation of agricultural activities.

 

 

The goal of this article is to present a systematic revision of the literature about game-based learning, applied to the teaching of mathematics in higher education. Technology in the classrooms has generated notable changes and new learning environments, among which computer games capture the attention of many users, generate compromise and better learning results. Through the methodology of record review from five bibliographic indexes and databases, of interest for the educational area, the corresponding bibliometric analysis, the quality evaluation and the generation of conclusions were done. The results show 19 records that approach different mediations and that are oriented to the cognitive, emotional, affective, soft skills, and behavioral development. These findings allow researchers interested in the topic and higher educational institutions to analyze the relevance and positive contributions of games (digital and non-digital) in the teaching-learning processes.

 

 

The current social dynamics perceive education as an impeller of social and economic change. However, there are problems of coverage, relevance and methodology in the educational process, mainly in Higher Education Institutions (HEIs). Recently, tools have emerged that adopt and appropriate ICTS in learning processes, such as mobile learning, which seeks to meet the requirements of mobility, accessibility and interactivity that traditional teaching mechanisms have not covered satisfactorily. Based on the necessity to identify the factors that drive the adoption of mobile learning by different HEIs, this research identifies the factors that encourage the adoption of mobile learning in the institutions. For this, results of an exercise of technological surveillance in indexed database (Scopus) were analyzed by means of scientometric indicators. Some of the most significant factors detected are: preparation of the professor, perceptions and attitudes of students, technological culture, and technological environment that leverages new learning models.

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