Producción Científica

 

 

This study delves into the pivotal role that indicators play in designing, assessing, and guiding policies for sustainable urban development. Indicators, encompassing both quantitative and qualitative measures, serve as essential tools in evaluating efforts toward sustainable development, providing a practical and objective means of understanding the complex urban environment. The lack of a robust database is identified as a hindrance to monitoring sustainable development progress, underscoring the importance of comprehensive indicators. The study employs a bibliometric literature review methodology, focusing on smart city and sustainability indicators (SSCI) from 2015 to 2022. A total of 818 articles were narrowed down to 191 through rigorous criteria. The study showcases a growing interest in this field, with the number of articles published experiencing a remarkable 288% increase from 2015 to 2022. China emerges as a focal point, leading in both article production and citations, emphasizing its commitment to sustainable development and smart city initiatives. The keywords “sustainable development”, “sustainability” and “urban development” had the most occurrences in text analysis. We found three different clusters with k-means analysis, and the circular economy indicators were the most representative category. In conclusion, the study underscores the holistic vision of SSCI in the current scenario, balancing technology and sustainability to improve urban quality of life while safeguarding the planet. Encouraging further research into integrating resilience-focused indicators and innovative solutions is crucial for enhancing sustainable urban development and informing policy decisions.

 

 

Seed orchards are important seed resources for producing improved tree crops for future plantations, forest restoration, and forestry practices (i.e., gene conservation) and for transmitting current gene diversity to future generations. Seed orchards are a major sub-division in forest science. The establishment and management of a seed orchard involves many steps, from the selection of superior trees to the harvesting of a seed crop. Studying the trends and future directions of seed orchards using different analysis methods is critically important, especially to establish resistant forests via the production of climate-smart, biotic/abiotic-stress-resistant seedling materials. Published papers related to seed orchards should be analyzed to determine the current trends in this field and to contribute to its future directions. Bibliometric analysis has been used for different purposes in various scientific fields. However, it has not been performed for publications in seed orchards. This study was carried out to analyze the current trends of research on seed orchards and to determine the future directions of these orchards based on published papers. For these purposes, 1018 published papers were obtained from the Science Citation Index, Science Citation Index Expanded, and citation index databases of “Web of Science” using the keyword “seed orchard”. The papers were published between 1980 and 2022 and were subjected to bibliometric analysis based on the most prolific contributors, references, countries, and keywords. CiteSpace software 6.1 R6 was applied to visualize information about seed orchard research. The average number of citations per publication was 13.05, and the 4 H-Index of the publication set was 48. The most prolific contributors with the strongest citation bursts, the highest centrality, and the greatest numbers of published papers were from Canada, Sweden, South Korea, Finland, and Czech Republic, while Canada (186 published articles), the USA (140), and Sweden (115), together with China, Brazil, and Germany, were active countries, especially based on citations from recent years. The “keywords” of the papers were the core of the research. “Mating pattern”, “Swedish forestry”, “fertility variation”, “Hymenoscyphus fraxineus”, “threatened Pacific sandalwood”, “outbreeding depression”, “climate change”, “management”, and “growth”, together with others such as “genetic improvement” and “effective size”, were active study areas and keywords, based on results of the analysis. They also guided the literature search and inventory and classification of early studies and served as predictors for future studies. The results of this study are discussed based on the trends and future directions of the research and development of seed orchards.

 

 

Many people experience intense fear of COVID-19. The purpose of this study was to provide a comprehensive visual overview of the published literature from 2020 to 2022 assessing fear of COVID-19. From 2020 to 2022, we employed the Scopus database to conduct a bibliometric analysis. We used the VOSviewer program to perform the author co-citation analysis, Mapchart to produce a worldwide map, and Wordart to make a word cloud image. From the 1769 records examined, 1654 (93.50%) were articles, with English being the most common language (96.31%). From 2020 to 2022, annual citations experienced significant growth (R2 = 99.91%; p = 0.0195). The Institut National de la Santé et de la Recherche Médicale (INSERM, France) and China led in terms of publication output (n = 36; n = 255). M. D. Griffiths authored the highest number of articles (n = 21). The most active journal was the International Journal of Environmental Research and Public Health (n = 146), and the most prevalent keyword was “human/s” (11.51%). This bibliometric analysis evaluates the quality of the research on fear of the pandemic and the crisis management of COVID-19, which can provide managers and researchers with crucial insights for future decision making.

 

 

Blockchain technology is expected to have a radical impact on most industries by boosting security, transparency, and efficiency. This work considers the potential benefits of blockchain-focused applications in industrial process monitoring. The research design facilitates a detailed bibliometric analysis and delivers insights into the intellectual structure of blockchain technology’s application in industry via scientometric approaches. The work also approaches numerous sources in various industrial sectors to identify the transformative role of blockchain in industrial processes. Aspects such as blockchain technology’s impact on industrial processes’ transparency are discussed, while the paper does not ignore that success stories in applying blockchain to industrial sectors are often exaggerated due to a highly competitive environment that the cryptocurrency domain has become. Finally, the work presents major research avenues and decision-making areas that should be tackled to maximize the disruptive potential of blockchain and create a secure, transparent, and inclusive future.

 

 

With the continuous acceleration of urbanization, air pollution has become an increasingly serious threat to public health. Strengthening the detection and control of pollutants has become a focal point in current society. In light of the increasing amount of literature in the field of air pollution control with every passing year, numerous reviews have been compiled; however, only a limited number employ bibliometric methods to comprehensively review and summarize research trends in this field. Herein, this study utilizes two bibliometric analysis tools, namely, CiteSpace (6.1.R6) and VOSviewer (1.6.20), to conduct a visual and comprehensive analysis of air pollution literature spanning 2000 to 2023. By doing so, it establishes a knowledge framework for research on air pollution control. Simultaneously, collaborative network analysis, reference co-citation network analysis, keyword co-occurrence network analysis, and keyword prominence are employed to undertake an exhaustive and profound visual examination within this domain. Results indicate that, over time, the number of relevant papers has exponentially increased, while interdisciplinary cooperation trends have gradually formed. Additionally, this study describes key areas of current research, including air pollution control residue treatment, regional joint air pollution control, and air pollution control mechanism analysis. Finally, challenges faced by researchers in this field and their different perspectives are discussed. To better integrate research findings on air pollution control, we explore the correlations among data and systematically present their developmental trends. This confirms the interdisciplinary nature of air pollution control research, in the hope of its guiding air pollution control in the future.

 

 

The development and utilization of unconventional water resources has become a strategy to alleviate the agricultural water crisis in many countries and regions. To understand the research progress, hot spots, and future trends in the field of unconventional water agricultural irrigation (UWAI), this paper systematically analyzes 6738 publications based on the core database of Web of Science 1990–2023 using the scientific bibliometric analysis software CiteSpace, VOSviewer, and Scimago Graphica. The results showed that the research on UWAI is always rapidly developing. Soil science, crop science, and bioengineering are the main disciplines involved. Most research on WUAI has occurred in China and the United States. Countries with higher levels of development tend to have more influence. Collaboration among authors is fragmented, and collaboration between authors and states needs to be strengthened. Through keyword analysis, the research hotspots are summarized as follows: (1) The effects of traditional and emerging pollutants brought by unconventional water irrigation on soil physicochemical properties, crop growth, and groundwater quality; (2) the health threats caused by pollutants entering the food chain and groundwater; (3) unconventional water utilization technologies, including rainwater harvesting agriculture, precision agriculture, and urban agriculture. Future research hotspots will focus on the mechanisms of pollutant solute transport and transformation in the water–soil–crop system under non-conventional water irrigation conditions and crop physiological responses. We suggest that the research on traditional and emerging pollutants in unconventional water should be strengthened in the future, and the risk control system of unconventional water irrigation should be improved. International cooperation should be strengthened, especially with poor countries in arid regions, to promote the formation of unified international standards and guidelines for non-conventional water irrigation in agriculture.

 

 

In the context of the technological era, the smart tourism construct serves as a bridge between human and the artificial worlds, combining social sciences and neurosciences. This study aims to explore smart tourism through neuroscientific methods in order to shape the future of tourism destinations, using a hybrid methodology combining bibliometric techniques and content analysis. The findings reveal the integration of diverse scientific domains, highlighting a transdisciplinary approach. They offer clear evidence that neuroscientific methods in smart tourism integrate multiple areas of scientific knowledge, surpassing disciplinary boundaries. “Destination” stands out alongside “emotion”, “visual attention” and eye tracking (ET). The collaboration network reveals the emergence of a new school, called neurotourism in the 21st century, formed mainly by actors and organizations from the Global North, evoking the need to include the Global South in the research scenario. The predominant methods include ET, heart rate (HR), and electroencephalography (EEG), suggesting triangulation with traditional methods for robust results. Virtual reality emerges as the primary immersive technology, promising insights when integrated with neurosciences. This study’s practical and theoretical contributions guide smart tourism strategies and enhance destination experiences through neuroscientific methods, addressing a gap in the scientific literature while advancing ontological and epistemological understanding.

 

 

Education policies help to improve society by decreasing inequities and establishing effective learning environments. Periodic assessments can help researchers and policymakers uncover new obstacles and ensure progress on these ever-changing education policy concerns using critical theory. Bibliometric studies, a type of periodic study, emphasize the importance of data-driven approaches in the formulation and implementation of education policies. This study conducts a bibliometric analysis of education policy issues from 2000 to 2023. Based on keywords, we initially selected 931 articles from the Web of Science (WoS) database. Only articles in English were included, and we used PRISMA guidelines to reduce the number of articles to 363. We focused on citations, publication frequency, topics, trends, and issues. Two independent researchers analyzed the documents for reliability. For validity, we used transferability. We also used a content analysis of frequently cited articles. Our analysis revealed three prominent trends. The first trend pertained to controversial environmental issues and sustainability concepts in education policy. The second theme was professional development, special education, and school choice. The third one was science, vocational education, special education, and ICT. The content analysis results indicated that teaching and learning, professional development, science education, subject matter teaching, and mobile learning were the topics of the content analyzed articles. We found that relying solely on bibliometric review resulted in broad conceptualizations of educational policy issues, focusing primarily on efficiency and effectiveness. Additionally, we applied critical theoretical frameworks to conduct a more comprehensive analysis of the emergent issues identified through bibliometric analysis.

 

 

This study aims to assess the global progress in research on the impact of forest therapy on mental health by using bibliometric analysis. We analyzed the relevant literature from the Web of Science Core Collection (WoSCC) database by utilizing software tools such as Bibliometrix (Version 4.1), VOSviewer (Version 1.6.19), and CiteSpace (Version 6.3.R1). There appears to be a growing trend in annual publication volumes from 2006 to 2023. Miyazaki was identified as the most prolific author in this field. Japan and South Korea lead in research contributions, while China has the highest number of publications. The International Journal of Environmental Research and Public Health is the journal with the most publications and citations in this area. Recent keyword clustering reveals an increasing frequency of studies on anxiety and urban green spaces. Research findings suggest that exposure to negative air ions and compounds released by plants can stimulate the five human senses, reduce cortisol levels, and improve mental health. Although studies have demonstrated significant effects of forest therapy in alleviating stress, anxiety, and depression, more large-scale and long-term studies are needed for further evidence. Additionally, it is crucial to explore the impact of different forest types, terrains, altitudes, climates, and air conditions on the effectiveness of forest therapy on mental health.