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Producción Científica

 

 

This study examines the evolution of research on systemic risk during the 2007–2021 period, encompassing the Global Financial Crisis, European financial crisis, the outbreak of the COVID-19 and a number of other notable episodes undermining global financial stability. Our research goal is two-fold. First, based on Scopus-indexed publications, we identify the most impactful countries, institutions and scholars in the field, revealing a gradual but notable decline in the annual shares of publications on systemic risk associated with major advanced economies. This is offset by the increasing role of emerging markets, primarily, China, which makes this research field more competitive. Second, we are also concerned with the drivers of research on systemic risk in a vast sample of countries during the observation period. By applying a combination of variable selection techniques to 33 indicators that can potentially incentivize research on systemic risk, we find that low bank profitability as well as the general productivity of economic research are the most robust factors stimulating such publications. A higher country’s score on the global innovation index also spurs the research in this field. Conversely, countries with a higher power distance index, i.e favoring hierarchy and low risk-taking, tend to produce less research on systemic risk.

 

 

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.

 

 

Aims The aim of this study is to use generative artificial intelligence to perform bibliometric analysis on abstracts published at European Resuscitation Council (ERC) annual scientific congress and define trends in ERC guidelines topics over the last decade. Methods In this bibliometric analysis, the WebHarvy software (SysNucleus, India) was used to download data from the Resuscitation journal’s website through the technique of web scraping. Next, the Chat Generative Pre-trained Transformer 4 (ChatGPT-4) application programming interface (Open AI, USA) was used to implement the multinomial classification of abstract titles following the ERC 2021 guidelines topics. Results From 2012 to 2022 a total of 2491 abstracts have been published at ERC congresses. Published abstracts ranged from 88 (in 2020) to 368 (in 2015). On average, the most common ERC guidelines topics were Adult basic life support (50.1%), followed by Adult advanced life support (41.5%), while Newborn resuscitation and support of transition of infants at birth (2.1%) was the least common topic. The findings also highlight that the Basic Life Support and Adult Advanced Life Support ERC guidelines topics have the strongest co-occurrence to all ERC guidelines topics, where the Newborn resuscitation and support of transition of infants at birth (2.1%; 52/2491) ERC guidelines topic has the weakest co-occurrence. Conclusion This study demonstrates the capabilities of generative artificial intelligence in the bibliometric analysis of abstract titles using the example of resuscitation medicine research over the last decade at ERC conferences using large language models.

 

 

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 data article aims to analyze the intellectual structure of farm accounting studies by examining bibliometric features. A dataset comprising 190 documents from the ISI Database within the farm accounting field was utilized. It delved into various aspects including the yearly publication and citation count concerning agricultural accounting, predominant research areas, keyword co-occurrence, bibliographic coupling among sources and documents, as well as co-citation patterns of referenced materials. Bibliometric network mapping techniques were employed for the analysis of the data. The analysis was conducted using VOSviewer, a scientific mapping analysis tool. The findings indicated a notable uptrend in publication and citation rates of agricultural accounting studies over the past decade. A significant portion of the dataset centered around agriculture and business economics. Key terms like “biological assets,” “IAS 41,” and “fair value” emerged as prominently used. The journal “Custos e Agronegócio Online” showed significant influence in terms of bibliographic coupling among sources.

 

 

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.

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