Term Co-occurrence Research Articles

Mapping the research landscape of energy market and renewable energy: A bibliometric analysis

This bibliometric analysis examines the research landscape of "Renewable Energy" and "Energy Markets" from 2000 to 2023, with a specific focus on emerging trends during 2023 to 2024. The novelty of this study lies in its integration of bibliometric tools to analyse keywords, global contributions, thematic evolution, and future research directions. Using data extracted from Scopus and Web of Science (WoS), the study employs advanced bibliometric techniques, including keyword and term co-occurrence mapping through VosViewer. The findings reveal significant growth in research output in recent years, with 29 percent of Scopus and 44 percent of Web of Science publications produced during 2023 to 2024. China and the United States lead global contributions, while Malaysia and India exhibit rapid growth, each contributing more than 70 percent of their research in this period. Keyword analysis shows blockchain technologies, microgrids, and peer-to-peer energy trading as dominant themes, reflecting the rise of decentralised and digital energy systems. Thematic clusters underscore the convergence of technological innovation, policy frameworks, economic modelling, and regional strategies. Co-authorship networks reveal active collaboration across Asia-Pacific and European countries. Journal articles are the primary output type, with early-access publications highlighting the urgency of disseminating new findings. This study provides a comprehensive and up-to-date overview of the evolving discourse in renewable energy and energy markets. It offers actionable insights for researchers and policymakers while identifying underexplored areas that merit further investigation. The results support interdisciplinary approaches to addressing global energy challenges and advancing sustainable energy transitions.

Recent Progress in the Utilization of Silver Nanoparticle and its Derivatives as Photocatalyst: a Mini Bibliometric Study

The narrow bandgaps of silver nanostructure and its derivatives make them photocatalytic-efficient. This bibliometric examines silver nanoparticle research in photocatalysis to identify its growth, research gap, and trends. The 1,941 Web of Science Core Collection publications from 2018 to 2023 were used as research data. The search used Publish or Perish, and the investigation was established on topic area with titles, abstracts, keywords, and terms co-occurrence in the study of silver-based photocatalyst. The visualisation was done with VOSviewer. The number of papers on silver nanoparticles and their derivatives as photocatalysts fluctuated, peaking in 2019. The publications focused on visible-light-irradiated photocatalysts. These findings also revealed a research gap that can be filled by studying silver derivatives including silver chloride, silver oxide, silver sulfide, and silver iodide. This bibliometric study should help researchers examine silver nanoparticles in photocatalysis.

Exploring Conceptualizations of COVID-19 Risk in Ideologically Distinct Online Communities: A Computational Grounded Theory Analysis.

The COVID-19 pandemic has had a profound impact on societies and economies around the globe, and experts warn about the potential for similar crises in the future. Risk communication theories underscore that while the potential for harm is objective, risk perception is a subjective, socially derived interpretation. While there is broad literature on the social construction of risk, fewer studies examine the role of communities-online or offline-in developing and reinforcing distinct interpretations of the same risk event. During COVID-19, online communities emerged as individuals sought to make sense of the ongoing crisis. These communities offer an opportunity to gain important insights into how concerned public collectively interprets risk and create group identities, informing public health strategies. This study aims to, first, explore how online communities with distinct ideologies create and reinforce divergent conceptualizations of risk and, second, identify the role of group identity in shaping the development and communication of risk interpretations in these communities. We used computational grounded theory, a multistep approach that includes pattern detection, hypothesis testing, and pattern confirmation to explore interpretations of risk and group identity in about 500,000 comments from the subreddits r/LockdownSkepticism and r/Masks4All. In the pattern detection step of this study, we grouped comments by the post they were made on and then used latent Dirichlet allocation topic modeling to identify 10 topics based on the frequency of term co-occurrence. In the hypothesis refinement step, we conducted a qualitative thematic analysis of 30 posts under each topic using Braun and Clarke's approach. Finally, in the pattern confirmation step, we trained a Word2Vec word embedding model to validate emerging themes from the second step. This study found that Masks4All and LockdownSkepticism both centered risk in their conversations, but with divergent concerns related to the threat of COVID-19. While Masks4All emphasized the threat to health, LockdownSkepticism questioned the necessity of preventive measures and focused on other risks: the threat to the economy, educational disruptions, and social isolation. Group identity was also found to shape collective meanings around risk, as community members in both subreddits affirmed group positions and condemned the outgroup. This study demonstrated that while both communities were concerned about COVID-19, their perceptions of risk focused on different aspects of the same risk event. This underscores the need for targeted interventions that engage with divergent ideologies and value systems across groups of people.

Learning Analytics in Perspective: Mapping Research Trends and Thematic Clusters

Obhective: The main objective is to map the evolution of current literature on Learning Analytics and identify the most influential sources of knowledge, in order to understand the development trends in the field and provide a foundation for future research. To this end, a bibliometric analysis was conducted in the Scopus database using Vosviewer software. The study covers the period 2012-2024. Theoretical Framework: The study is based on an interdisciplinary approach that integrates educational psychology, data mining, and human-computer interaction. Key concepts such as personalized learning, self-regulated learning, and the ethics of data use are addressed, highlighting tensions between technological innovation and educational responsibility. The role of virtual environments and the use of analytics for informed pedagogical decision-making are also considered. Method: A bibliometric methodology based on a five-stage protocol was used: scope delimitation, data collection, analysis, visualization, and interpretation of results. The Scopus database was used, selecting publications with the term "learning analytics," and the data were processed using VOSviewer software. The co-occurrence of terms, co-authorship, co-citation, thematic areas, and distribution by country were analyzed. Results and Discussion: The analysis showed sustained growth in scientific production, with a notable increase since 2017 and a peak during the pandemic. The most productive countries were the United States, China, and India, revealing a geographic concentration of knowledge. At the thematic level, five clusters were identified: (1) computational methods, (2) pedagogical feedback, (3) analytical frameworks, (4) ethical considerations, and (5) dispositional analytics. These results reflect the transversal and convergent nature of the field, combining technical, pedagogical, and ethical approaches. Research Implications: The findings provide strategic insight for researchers, institutions, and educational policymakers, facilitating an understanding of the field's evolution and guiding future lines of research and collaboration. They also highlight the need for an ethical and inclusive implementation of learning analytics, especially in underrepresented contexts. Originality/Value: This study provides a comprehensive and visual analysis of the field of learning analytics, combining volume, quality, and thematic focus. It is distinguished by mapping global scientific production based on a broad corpus and by highlighting both emerging trends and ethical tensions, which contributes to a more comprehensive and critical understanding of the field.

Six Sigma Applied to Healthcare: A Global Scientometrics Analysis of Health Services Quality Improvement Research.

To provide a comprehensive scientometrics analysis of Six Sigma research in healthcare, a field gaining momentum due to its capacity to address missed improvement opportunities and inefficient cost-control strategies across global health systems. A cross-sectional mixed-methods study combining quantitative research and health metrics with thematic content analysis to explore trends and research patterns. The study analyzed publications indexed in PubMed, Scopus, Web of Science, SciELO, and KCI, using thematic mapping techniques through term co-occurrence networks and cluster analysis. Also, correlation analysis with healthcare quality indicators and global health metrics were executed. A total of 883 publications were analyzed. (1) Geographical analysis showed 70.8% from high-income countries and 0.7% from low-income countries. (2) Thematic clusters were centered on hospital applications and patient safety. (3) Temporal trends revealed an increasing focus on "big data" and "health innovation." (4) Strong correlations were found between publication output and health/research expenditure (P < .01 for all cases); negative associations emerged with out-of-pocket expenditures and researcher density in low-income settings. Findings provide a roadmap for aligning global research priorities and highlight the need for inclusive strategies that build research capacity and foster context-sensitive applications of Six Sigma in healthcare.

Endothelial Dysfunction and Pregnancy-Induced Hypertension: A Bibliometric Analysis (2000–2024).

Background: This bibliometric analysis examines the evolving landscape of research on endothelial dysfunction and pregnancy-induced hypertension (PIH), focusing on trends, influential contributors, and key themes. Endothelial dysfunction in PIH significantly impacts maternal and foetal health, yet gaps remain in understanding its mechanisms and management.Objective: The study aims to provide a comprehensive overview of over two decades of publications on endothelial dysfunction and PIH to guide future research and clinical practice.Study design: Data were retrieved from Scopus, covering 397 publications over 25 years. Bibliometric measures, including citation metrics, co-authorship networks, and term co-occurrence maps, were analysed using the Scopus analytics tool and VOSviewer software. Key metrics included total citations, h-index, and term clustering, offering insights into publication trends, influential contributors, and thematic areas.Results: The analysis revealed an increasing trend in publications, being the United States and China as the most productive countries. Highly cited studies emphasised translational research linking clinical outcomes with mechanistic insights. Author keyword analysis highlighted research priorities including preeclampsia, hypertension, and oxidative stress. Co-occurrence maps revealed strategic and granular perspectives, highlighting angiogenesis, placental ischaemia, and long-term maternal health as critical themes. Limitations include reliance on Scopus data, which may exclude relevant studies indexed elsewhere.Conclusion: This study uniquely synthesises bibliometric insights to map the progression of endothelial dysfunction and PIH research. It highlights influential contributors, emerging trends, and key gaps, offering valuable guidance for researchers and policymakers. The findings highlight the importance of integrating mechanistic research with clinical applications to improve outcomes for hypertensive disorders in pregnancy.

From Climate to Cloud: Advancing Fog Detection Through Satellite Imagery

The broad spatiotemporal coverage provided by satellite remote sensing is fundamental for monitoring fog events, a phenomenon that impacts transportation, agriculture, and ecosystem functioning. Despite advances in remote sensing technology, significant knowledge gaps remain regarding the application of these techniques to fog detection, especially over terrestrial ecosystems. This scoping review synthesizes the trends in methods used for fog detection by analyzing 38 papers retrieved from Scopus and Web of Science. Only studies that utilized satellite imagery to analyze the spatiotemporal dynamics of fog were included. Articles that employed non-satellite methodologies or focused on processes other than the detection, formation, or identification of fog events were excluded. In addition to a term co-occurrence analysis of abstracts using VOSviewer, this study examines key parameters of the detection methods—including sensor type, spectral bands, temporal resolution, and algorithmic approaches (e.g., threshold methods and deep learning techniques)—to evaluate their evolution and current limitations. Our results reveal that while approximately 53% of studies rely on geostationary satellite data (95% CI: 36.7–68.5%), favored for their high temporal resolution, the remaining 47% employ polar-orbiting sensors (95% CI: 31.5–63.2%) that offer superior spatial resolution. Notably, most research has concentrated on maritime fog detection, with few studies extending these techniques to complex terrestrial environments. The review highlights critical gaps in current approaches and proposes an integrated framework that combines traditional brightness temperature difference methods with emerging machine learning techniques, which could advance fog detection in diverse settings.

Mapping the conceptual and intellectual structure of soil health research (1996–2021): a terms co-occurrence and co-cited reference network analysis

Soil health has emerged as a critical area of research due to its role in sustainable agriculture, environmental conservation, ecosystem services and policy frameworks like the EU Soil Strategy. Since the 1990s, research has expanded rapidly, yet unevenly, marked by fragmented thematic priorities and methodological approaches. This study employs bibliometric analyses—term co-occurrence and co-cited reference networks—to map the conceptual and intellectual structure of soil health research from 1996 to 2021. By analyzing 984 peer-reviewed articles, we identified three major research clusters: (1) Agricultural Research &amp;amp; Soil Management, emphasizing agronomic practices such as fertilization and crop yield optimization; (2) Soil Health &amp;amp; Agricultural Sustainability, focusing on carbon dynamics, conservation tillage, and policy alignment; and (3) Microbial Ecology &amp;amp; Soil Health, highlighting soil biota, enzyme activity, and long-term biological impacts. Seminal works by Karlen et al., which established foundational frameworks linking soil quality to ecosystem services, and Mbuthia et al., demonstrating microbial resilience under conservation practices, emerged as pivotal drivers of field evolution. Emerging trends favor sustainable practices, amendments, and biological indicators. The analysis reveals critical gaps, including limited integration of pedological modeling to quantify ecosystem services and insufficient long-term studies on conservation agriculture. These findings advocate interdisciplinary collaboration among agronomists, microbiologists, policymakers, and climate scientists to align soil health metrics with global targets (e.g., SDGs, EU Soil Monitoring Law), providing a roadmap to integrate soil health into climate-smart land-use policies.

Digital Interventions and Artificial Intelligence in Diabetes Management in Last Two Decades: A Bibliometric Analysis on Web of Science

Objectives: To conduct a bibliometric analysis to analyze the landscape of artificial intelligence(AI) in diabetes management in the past two decades. Methods: The literatures on AI in diabetes management during 2003 to 2021 were respectively retrieved from Web of Science database. CiteSpace software was applied to perform analysis of frequency distribution and co-occurrence of sub-keyword terms, frequency distribution analysis of reference citations, and analysis of burst detection methods for keyword terms and cited references, in order to create a knowledge map to reveal diabetes management hotspots and cutting-edge directions. Results: A total of 1,242 articles on diabetes AI managements were retrieved. The results showed that the number of papers increased year by year, and the number of papers published was the largest in 2019-2021, suggesting that in the field of diabetes management, digital technology was widely adopted in the daily management of diabetes and was conducive in early screening for diabetes complications. In the field of AI in diabetes, various machine learning models including latest deep learning have been proposed and investigated. In the literatures on diabetes digital interventions, the keywords with higher frequency were management, intervention, diabetes, care and blood sugar control. Comparatively, the keywords with the highest frequency in diabetes AI are machine learning, management, diabetes, systems and classification. Conclusions: In the future, research trends will focus more on deep learning, mHealth and digital health. AI models with diabetes as comorbidity are still facing certain challenges in terms of system accuracy, validity and confidentiality.

Financial strategies for sustainable business transformation: A comprehensive bibliometric review

The growing global attention on sustainability has driven substantial studies into financial strategies that help corporations navigate to more sustainable practices. This bibliometric study examines the evolution of financial frameworks for sustainability, with a focus on emerging trends, significant contributors, and research needs. A thorough analysis was conducted utilizing the Scopus database, which reviewed scholarly papers from 2015 to 2025. The VOSviewer software was used to analyze term co-occurrences and evaluate country-specific contributions to the subject. The findings show a significant increase in publications over the last decade, demonstrating the growing importance of financial strategies in promoting business sustainability. Green finance, the integration of Environmental, Social, and Governance (ESG) principles, and sustainable investment vehicles such as green bonds and impact funds are all popular research topics. This study identifies prominent researchers shaping the discourse on sustainable finance, providing a framework for future research. Despite the growing numbers of material, several critical gaps remain. These include the role of small and medium-sized businesses (SMEs) in sustainable finance, the impact of financial technology (FinTech) on green investments, and the effectiveness of regulatory frameworks in encouraging sustainable economic practices. Addressing these gaps is crucial for developing more equitable and resilient financial systems that can effectively support long-term sustainability goals. This paper provides valuable insights for policymakers, financial institutions, and academics and can be used to influence future advancements in sustainable financial methods. By advocating for resilience, innovation, and more effective regulatory frameworks, the study aims to make significant advances in the field of sustainability finance. The findings highlight the importance of ongoing research to ensure that financial systems line with global sustainability objectives and contribute to a more sustainable future.

Hydrogen-Powered Aviation: Insights from a Cross-Sectional Scientometric and Thematic Analysis of Patent Claims

Hydrogen-powered aviation is gaining momentum as a sustainable alternative to fossil-fueled flight, yet the field faces complex technological and operational challenges. To better understand commercial innovation pathways, this study analyzes the claims sections of 166 hydrogen aviation patents issued between 2018 and 2024. Unlike prior studies that focused on patent titles or abstracts, this approach reveals the protected technical content driving commercialization. The study classifies innovations into seven domains: fuel storage, fuel delivery, fuel management, turbine enhancement, fuel cell integration, hybrid propulsion, and safety enhancement. Thematic word clouds and term co-occurrence networks based on natural language processing techniques validate these classifications and highlight core technical themes. Scientometric analyses uncover rapid patent growth, rising international participation, and strong engagement from both established aerospace firms and young companies. The findings provide stakeholders with a structured view of the innovation landscape, helping to identify technological gaps, emerging trends, and areas for strategic investment and policymaking. This claims-based method offers a scalable framework to track progress in hydrogen aviation and is adaptable to other emerging technologies.

Analyzing the Overturn of Roe v. Wade: A Term Co-Occurrence Network Analysis of YouTube Comments

Objective: This study examines YouTube comments following the overturn of Roe v. Wade, investigating how perceptions of health implications differ based on commenters’ gender and abortion stance. Methods: Using Netlytic, 25,730 comments were extracted from YouTube videos discussing the overturn of Roe v. Wade, half of which featured physicians discussing public health implications. Manual coding of 21% of the comments identified discussions on abortion stance and medical implications, while Gender API approximated the commenters’ gender. A term co-occurrence network was generated with VOSviewer to visualize key terms and their interrelations. Custom overlays explored patterns related to gender, abortion views, and medical implications, and comparisons within these overlays intersected with the medical implications overlay to illustrate contextual differences across demographics. Results: Four clusters emerged in the network: Constitutional Law, addressing the U.S. Constitution’s interpretation and legal impacts; Reproductive Rights and Responsibility, discussing alternatives to abortion and access; Human Development, exploring the intersection of abortion laws and individual beliefs; and Religious Beliefs, linking abortion laws to faith. Prochoice users focused on medical and socioeconomic impacts on women, whereas prolife users emphasized the prevention of unwanted pregnancies and moral considerations. Gender analysis revealed males centered on constitutional issues, while females highlighted medical and personal effects. Conclusion: The findings underscore that monitoring YouTube discourse offers valuable insights into public responses to shifts in health policy.

Anti-Cancer Drugs: Trends and Insights from PubMed Records.

Background: In recent years, there has been an exponential growth in global anti-cancer drug research, prompting the necessity for comprehensive analyses of publication output and thematic shifts. Methods: This study utilized a comprehensive set of PubMed records from 1962 to 2024 and examined growth patterns, content classification, and co-occurrence of key pharmacological and molecular terms. Results: Our results highlight an exponential rise in publications, with an annual compound growth rate of over 14%, influenced by advancements in digital knowledge sharing and novel therapeutic breakthroughs. A pronounced surge occurred during the COVID-19 pandemic, suggesting a sustained shift in research dynamics. The content analyses revealed a strong emphasis on classical chemotherapeutic agents-often studied in combination with targeted therapies or immunotherapies-and a growing focus on immune checkpoint inhibitors and vaccine platforms. Furthermore, co-occurrence networks indicated robust links between chemotherapy and supportive care, as well as emerging synergies between immuno-oncology, precision medicine approaches. Conclusions: Our study suggests that while novel modalities are reshaping treatment paradigms, chemotherapy remains central, underscoring the value of integrative regimens. This trend toward personalized, combination-based strategies indicates a transformative era in oncology research, where multidimensional data assessment is instrumental in guiding future therapeutic innovations.

Bibliometric Analysis of Developing Sustainable Cities by Enforcement of Environmental Policies

This bibliometric analysis explores the scholarly background surrounding the development of sustainable cities through the enforcement of environmental policies. The study aims to provide a comprehensive overview of the existing body of literature on this subject, identifying key trends, relevant authors, and thematic clusters that have contributed to the scholarly dialogue on this topic. Through a bibliometric analysis of relevant academic publications, this research seeks to discover patterns and insights that have contributed to a deeper understanding of the evolution of research in this critical realm. The research question underlying this bibliometric literature review is how can cities develop sustainably through the enforcement of environmental policies? The formulation of the research question necessitates the objectives of the study. The objectives of this research are to: assess the volume and growth of literature addressing sustainable urban development through environmental policy enforcement, identify research works and influential authors shaping the scholarly conversation on this topic, uncover thematic clusters and the interdisciplinary nature of research in developing sustainable cities through environmental policies and identify research gaps to guide future direction of research. The study employs bibliometric techniques, including citation analysis, co-authorship analysis, and term co-occurrence analysis. Preliminary findings indicate a growing interest in the intersection of sustainable urban development and environmental policy enforcement. The analysis identifies key publications that have significantly influenced the field, along with prominent authors and collaborative networks. This bibliometric analysis provides a systematic overview of the scholarly contributions to the development of sustainable cities through environmental policy enforcement.Received:2024-02-20 Revised:2024-02-29 Accepted: 2025-03-07 Published: 2025-04-27

Trends and Connections in Studies on Access to Justice in Forest Regions: A Bibliometric and Content Analysis

Objective: This study aimed to characterize the academic production on access to justice in forest regions, using a bibliometric and content analysis approach. It sought to identify the main trends and gaps in the literature, as well as the predominant approaches in the analyzed studies. Method: The research used the Web of Science, ScienceDirect, Scopus, and Scielo databases to collect scientific articles, applying bibliometric techniques and content analysis. The data were analyzed using the VOSviewer and Iramuteq software, allowing the identification of patterns, term co-occurrence networks, and the main thematic focuses of the studies. Results and Discussion: The findings indicate that the literature on access to justice in forest regions focuses on a specific population inhabiting these areas, particularly Indigenous peoples, and does not establish connections with other traditional communities, such as riverine populations, quilombolas, and agro-extractivists. Additionally, an explicit alignment with Sustainable Development Goal (SDG) 16 of the UN 2030 Agenda was found to be absent, representing a gap in the research. Research Implications: Os resultados deste estudo apresentam implicações para o contexto teórico e também para o ponte de vista pratica ao fornecer informações sobre uma tema ainda não explorado oferecendo isights para o contexto no que diz respeito ao acesso a justiça aos povos da floresta. Originality/Value: The research highlights gaps in the literature on access to justice in forest regions, the need to include other traditional communities in addition to indigenous peoples and the importance of alignment with SDG 16 to strengthen more inclusive public policies.

Bibliometric Analysis of GIS-based Tourism Research: Trends, Topics, and Future Directions in Terms of Sustainable Tourism Management

The goal of this study is to evaluate the use of the Geographic Information System (GIS) in tourism research. While there is a lot of research on the various aspects of GIS in tourism, there is currently a lack of a comprehensive overview of the existing studies. This study aims to address this gap by conducting a bibliometric analysis of 434 articles on GIS-based tourism and sustainability research papers that were published between 1996 and 2023 in the Web of Science (WoS) database. The research investigates 434 articles gathered as of January 11, 2024. Bibliometric analysis is conducted using the VOS viewer program. Multiple techniques are applied, including bibliographic coupling of countries and journals, co-authorship analysis among countries, co-citation analysis of journals, and examination of author keywords and abstract term co-occurrences. Moreover, longitudinal trends in publications and citations pertaining to GIS-based tourism and sustainability articles are analyzed in the study. The use of advanced GIS techniques is essential for making informed decisions in sustainable tourism management by better comprehending the factors that influence visitor demand.

Towards Andrographolide as Antimalarial: A Systematic Review

Antimalarial resistance remains a problem in malaria elimination programs worldwide. Andrographolide is a labdane diterpenoid extracted form Andrographis paniculata that introduced as a new antimalarial agent, but its potential to prevent resistance must be elaborated to mitigated risk of resistance. This systematic review aimed to analyze the potential of andrographolide to prevent plasmodium resistance. A systematic review was made by comprehensive searching in several database such as PubMed, Google scholar, Science direct with keyword: andrographolide, malaria, plasmodium, resistance, review with several method of study includes in vivo, in vitro, in silico and randomized control trial. We mapped research development of andrographolide to be antimalarial agent using Vos viewer to extract co-occurrence terms that related to andrographolide as antimalarial. Based on PRISMA results, 35 articles meet criteria. Type of andrographolide and its derivative use as treatment, type of study, control, analytical method and result of mechanism of action was compiled within the review table. Andrographolide effective as antimalarial agent, its mechanism includes suppressing parasite numbers, suppressing the inflammatory response in malaria, prevent detoxifying heme, immunomodulating host cells, potent antioxidant, and inhibiting enzymes that play a role in parasite invasion. Further research of andrographolide to prevent antimalarial resistance in Plasmodium must investigated deeply.

Is ESG the New Corporate Social Responsibility? A Comprehensive Literature Review

Objective: This study aims to investigate the points of convergence between Corporate Social Responsibility (CSR) and the Environmental, Social, and Governance (ESG) approach, to understand whether ESG represents an evolution of CSR or a new conceptual framework in the field of corporate sustainability. Theoretical Framework: The study is grounded in CSR theories, highlighting authors such as Carroll (2010) and Schrempf-Stirling (2015), who explore the evolution of CSR, along with contemporary ESG concepts, exploring how these practices are interpreted and implemented in different socioeconomic contexts. Method: The research follows a qualitative approach, with bibliometric review (Web of Science/Scopus, 2000–2023), using term co-occurrence analysis (VOSviewer) and thematic categorization of 909 scientific articles and corporate reports. Results and Discussion: ESG stands out for its emphasis on standardized metrics and integrated governance in contrast to the historical and voluntary nature of CSR, but it perpetuates challenges such as greenwashing and the marginalization of social aspects in favor of financially oriented measurability. Research Implications: Companies can use the findings to align strategies with increasing global regulation, while investors gain insights into systemic risks associated with the superficiality of current ESG metrics. Originality/Value: The study offers a critical analysis of the ambiguities in the CSR-ESG transition through mixed methods (bibliometrics/historical), proposing a theoretical model to harmonize corporate ethics and measurable governance.

Immediate Implant and Loading Approaches: Analysis from a Bibliometric Perspective.

This study aims to analyze the use of immediate implant and loading techniques in dentistry through bibliometric methods, evaluate the publication and citation trends in this field, and identify the most influential studies. The WoS Core Collection database was used as the bibliographic source, and a search strategy was applied to identify relevant research articles. Bibliometric assessments were conducted using Bibliometrix software. These analyses determined the collaboration networks of authors, keywords, and publications, and research trends were identified using co-occurrence and co-citation analyses. The total number of publications peaked between 2010 and 2015. Citation numbers followed a similar trend, peaking in 2008 and becoming more prominent after 2020. Journals such as "International Journal of Oral Maxillofacial Implants", and "Clinical Oral Implants Research" are leading in the field of dental implantology, and authors like Esposito M., Covani U., and Piattelli A. are among the most productive in the field. The United States and Italy are among the leading countries in research in this area. Co Occurrence Network Analyses, Term Co-Occurrence Map Analysis, and Co-citation Analysis Network have revealed the study and application trends, topics in implantology research, and the dynamics of this scientific field. This bibliometric analysis demonstrates that studies on immediate implants and loading techniques represent a broad and continually evolving scientific field, offering potential collaborations and research directions for future researchers.

Bibliometric study of research in aeronautics, cyberspace, and space exploration for the Colombian Aerospace Force

This bibliometric study addresses the dynamics of publication in three thematic areas relevant to the development of the aerospace sector of the Colombian Aerospace Force, such as aeronautics, space, and cyberspace. The aim is to identify the thematic trends and research emphases published in 2000-2023 and made visible in the Scopus database. The information was analyzed globally and for short intervals with tools such as VoSviewer, identifying thematic clusters based on the co-occurrence of terms and trends of emphasis in different topics. A transition towards multidisciplinary and technologically advanced approaches in aeronautics, cyberspace, and space exploration was evidenced, highlighting their impact on improving research and development practices and strategies within these critical fields.