Co-authorship Network Research Articles

The Role of Innovation Management in Creative Economy-Based Product Development in West Java Province

This study conducts a comprehensive bibliometric analysis of the field of entrepreneurial ecosystems, mapping the evolving landscape of research from 1995 to 2024. Utilizing VOSviewer for visual network analysis, the research identifies central themes, examines co-authorship and institutional collaboration networks, and highlights the temporal progression of key topics. The findings reveal "entrepreneurial ecosystem" as a nexus connecting diverse research themes such as innovation, economic growth, and sustainability. Significant emphasis is placed on the integration of digital technologies and sustainability within entrepreneurial practices, reflecting shifting academic and practical priorities. The analysis of co-authorship networks shows robust collaboration among leading scholars and institutions, predominantly from Western regions, with increasing contributions from a global cohort. The study underscores the importance of incorporating diverse perspectives to fully understand the multifaceted nature of entrepreneurial ecosystems and suggests future research directions focusing on digital transformation and sustainability in entrepreneurship.

Bibliometric Assessment of Data-Driven Marketing Research Trends in the Last Two Decades

This study presents a bibliometric analysis of data-driven marketing research trends over the last two decades, with a focus on its intersection with innovation, decision-making, and related topics. Using VOSviewer for network visualization, we analyze co-authorship, keyword co-occurrence, publication frequency, and country collaboration to uncover key themes and research developments. The findings indicate a significant rise in data-driven marketing research, particularly from 2015 onwards, driven by advancements in big data, machine learning, and artificial intelligence. Co-authorship networks reveal strong interdisciplinary collaboration, while keyword co-occurrence maps highlight the growing role of innovation, decision-making, and machine learning in data-driven marketing. Additionally, country collaboration networks show the United States, China, the United Kingdom, and India as central contributors to global research. The keyword density heatmap emphasizes the increasing focus on data-driven innovation and product development. These insights offer valuable implications for academics and practitioners seeking to understand and apply data-driven marketing in a rapidly evolving digital landscape.

Exploring Diabetes Research Trends in India: A Comprehensive Bibliometric Analysis Using VOSviewer

Diabetes has become a pressing public health issue in India, prompting the need for a comprehensive understanding of research trends to effectively guide interventions. This study conducted a bibliometric analysis (BA) of diabetes research publications in India spanning from 2014 to 2023 to elucidate the research landscape. Through a systematic literature search using databases, a vast corpus of 498,138 publications was identified, predominantly comprising research and review articles. Temporal analysis of the data revealed a consistent publication output over the years, with a notable increase in recent years, indicating a growing research interest and focus on diabetes-related topics. Keyword analysis shed light on prevalent themes within the literature, such as experimental models and clinical aspects, showcasing the diversity of research focuses within the field. Top-cited articles predominantly addressed clinical studies, suggesting an emphasis on evidence-based research to inform clinical practice and policymaking. Co-authorship networks highlighted collaborative efforts among researchers, with the All India Institute of Medical Sciences emerging as a prominent contributor, reflecting the importance of collaborative research initiatives in tackling complex health challenges. Further analysis through bibliographic coupling and co-citation analysis revealed thematic clusters within the literature, providing insights into specific research areas such as complications and case reviews. These thematic concentrations offer valuable directions for future research and intervention strategies.

Knowledge Mapping and Global Trends in the Field of the Objective Structured Clinical Examination: Bibliometric and Visual Analysis (2004-2023).

The Objective Structured Clinical Examination (OSCE) is a pivotal tool for assessing health care professionals and plays an integral role in medical education. This study aims to map the bibliometric landscape of OSCE research, highlighting trends and key influencers. A comprehensive literature search was conducted for materials related to OSCE from January 2004 to December 2023, using the Web of Science Core Collection database. Bibliometric analysis and visualization were performed with VOSviewer and CiteSpace software tools. Our analysis indicates a consistent increase in OSCE-related publications over the study period, with a notable surge after 2019, culminating in a peak of activity in 2021. The United States emerged as a significant contributor, responsible for 30.86% (1626/5268) of total publications and amassing 44,051 citations. Coauthorship network analysis highlighted robust collaborations, particularly between the United States and the United Kingdom. Leading journals in this domain-BMC Medical Education, Medical Education, Academic Medicine, and Medical Teacher-featured the highest volume of papers, while The Lancet garnered substantial citations, reflecting its high impact factor (to be verified for accuracy). Prominent authors in the field include Sondra Zabar, Debra Pugh, Timothy J Wood, and Susan Humphrey-Murto, with Ronaldo M Harden, Brian D Hodges, and George E Miller being the most cited. The analysis of key research terms revealed a focus on "education," "performance," "competence," and "skills," indicating these are central themes in OSCE research. The study underscores a dynamic expansion in OSCE research and international collaboration, spotlighting influential countries, institutions, authors, and journals. These elements are instrumental in steering the evolution of medical education assessment practices and suggest a trajectory for future research endeavors. Future work should consider the implications of these findings for medical education and the potential areas for further investigation, particularly in underrepresented regions or emerging competencies in health care training.

The relationship between coauthorship and the research impact of medical doctoral students: A social capital perspective

Research impact is an important manifestation of research competence and the focus of medical education. This study is dedicated to exploring the relationships between coauthorship networks and the research impact of Chinese medical doctoral students from a social capital perspective. A total of 16291 scientific papers from 237 doctoral students and 126 mentors at Chinese universities were selected from databases, and a study dataset including 19 variables was constructed. Nine independent variables were defined and obtained through coauthorship network analysis, and the doctoral students’ research impact, as the only dependent variable, was used to test the hypothesized relationships among the variables. The results show that the betweenness centrality, student-mentor coauthorship count and the partnership ability index significantly affect the h-index. Specifically, the coauthorship unit count plays the most important role in developing centrality, which, in turn, produces a higher h-index. In addition, betweenness centrality, student–mentor coauthorship count and the partnership ability index are good predictors of the likelihood of doctoral students entering the greater research impact group and especially improving their betweenness centrality. Specifically, doctoral students whose partnership ability index is greater than 2, student-mentor coauthorship count is greater than 4, coauthorship unit count is greater than 6, and betweenness centrality is greater than 0.02 are considered to have greater research impact. These findings suggest that the important roles of cooperation in the development of research competence and good mentorship in the acquisition of social capital by doctoral students should be emphasized. Several strategies are advised for harnessing social capital rooted in doctoral students’ coauthorship network for relevant organizations, mentors and doctoral students who want to increase medical doctoral students’ research impact.

THE EFFECT OF DIGITALIZATION ON HUMAN RESOURCE MANAGEMENT PRACTICES: A BIBLIOMETRIC ANALYSIS

This study examines the intersection of digitalization and human resource management (HRM) practices through a bibliometric analysis. Utilizing the VOS Viewer program for quantitative analysis and supplemented by qualitative content reading, the research explores key trends, themes, and authorship patterns within the existing literature. The primary data source is the Web of Science database, yielding 268 relevant studies published between 2005 and 2023. Findings indicate a growing interest in the topic, particularly within the management discipline, and highlight key HRM practices impacted by digitalization, including recruitment, training and development, performance management, and career management. The analysis reveals that digitalization enhances HR efficiency, reduces costs, and supports learning and development, while also presenting challenges such as data security risks, skill gaps, and potential resistance to change. Co-authorship and citation networks identify influential authors and emerging research clusters. The study underscores the interdisciplinary nature of digital HRM research and calls for broader database inclusion to enhance future bibliometric studies.

Scientometric analysis of cover crop management: Trends, networks, and future directions

This research paper presents a comprehensive scientometric analysis of English articles from the Scopus database regarding the topic of cover crop management from 1956 to March 2024. Through the analysis of the annual production trend, total production, a co-occurrence network of keywords, co-authorship networks, and co-citation networks, the data was mapped and visualized using VOSviewer and Bibliometrix software. There was an exponential increase in publications from 1991 onwards. The predominant subject was Agricultural and Biological Sciences and the most relevant journals, authors, and documents were related to this topic. Additionally, the most productive country was the United States, but in terms of article production per surface area, other countries, such as Switzerland and The Netherlands, evidence the great weight of cover crop management in these countries. The identified research topics were related to the application of different crops as cover crops and the effects on different cultivars, also soil quality improvement, and fertilization and nutrient efficiency. An emerging research topic was found to be the usefulness of cover crops as effective tools for climate change adaptation and mitigation strategies in agriculture. Future research in the field of cover crop management could be directed towards climate-adaptive cover crop species and varieties, the use of technological innovations for cover crop monitoring, and management and analysis of the economic and social impacts of cover crop adoption.

Exploring Trends in Sports Event Research (2014–2023): A Bibliometric Analysis

This study provides a comprehensive bibliometric analysis of sports event research from 2014 to 2023, using data from the Web of Science database. The research examines key trends, influential publications, prolific authors, and prevailing themes in the field. This study identifies the core areas of focus and emerging trends in sports event management, sustainability, and economic impacts through a detailed analysis of citations, co-authorship networks, and keyword co-occurrence. The results offer insights for researchers and practitioners interested in advancing knowledge in sports event planning, management, and legacy.

"Academic Influence and Industry Funding in Nerve Allograft Research: A Co-Authorship Network Analysis".

Clinical use of acellular nerve allografts is rapidly increasing despite limited high-quality, comparative evidence of superiority. Simultaneously, non-research payments to clinicians by the nerve allograft industry exceeds $14,000,000 over the last decade. In this study, the authors hypothesized that nerve allograft-related academic influence would correlate with industry funding. PubMed studies on nerve allografts in plastic and reconstructive surgery journals were reviewed. Using author lists from extracted studies, a co-authorship network was generated and degree centralities - quantitative measurements of influence within a network - were calculated. Open Payments data from the nerve allograft industry was summated for each author. Finally, Pearson correlation and linear regression were used to analyze the relationship between centrality and payments received. 185 studies were included, with 581 unique authors (nodes) and 2,406 co-authorships (ties) between them. Among authors with exceptional network influence (centrality >10, 75th percentile; n=113), 56 were clinicians with valid NPIs and therefore eligible for inclusion in the Open Payments database. 44 (79%) of these authors received at least one payment from the industry. Pearson correlation revealed a moderate (0.4<r<0.6) positive correlation between centrality and payments received (r=0.51, p<0.001). Linear regression demonstrated an estimated 16% increase in total pay per additional unit of centrality (p<0.001; 95% CI [8%, 25%]). There is a significant connection between academic influence and financial support from the nerve allograft industry. Such results warrant discussion concerning conflicts of interest in clinical research and best practices for mitigating potential bias related to commercially backed treatments.

Scientific Production on Entrepreneurial Skills in Young Students: Bibliometric Analysis

Entrepreneurship is considered a key element for economic and social development, requiring cognitive, attitudinal, and procedural competencies for its realization. This study focuses on a documentary review aimed at answering the following questions: How is research on entrepreneurial capabilities approached in different countries? What is the volume of scientific production on this topic? In light of this, the present work is developed within the inclusion criteria: publications between 2012 and 2022, various types of documents, written in English, and included in the SCOPUS database. To conduct the analysis, a combination of tools such as VOSviewer, Biblioshiny, and Excel was used. These tools allowed for the identification of clusters, co-occurrence frequencies, and network nodes. Based on this, the behavior of authors, countries, journals, and the evolution of the topic over time were examined. The results reveal that the United States is the leading country in publishing research on entrepreneurship. There is an increase in scientific production related to this topic, with the majority of publications concentrated in a limited number of journals (53). Limited collaboration among authors and institutions is also evident. The co-authorship network is divided into 47 clusters, with weak grouping among them.

Exploring research trends and hotspots on oxidative stress and bronchopulmonary dysplasia: Insights from bibliometric and visualized study.

Bronchopulmonary dysplasia (BPD) is a severe chronic lung disease primarily affecting premature infants, often resulting from prolonged mechanical ventilation and oxygen therapy. Oxidative stress plays a critical role in the pathogenesis of BPD, contributing to lung injury, inflammation, and impaired lung development. Despite extensive research, there is a need to systematically map out the research trends and hotspots in this field to inform future studies and therapeutic strategies. This study utilized bibliometric and visualized analysis to explore global research trends and hotspots on oxidative stress and BPD from 2004 to 2024. A comprehensive literature search was conducted in the Web of Science Core Collection, focusing on publications related to oxidative stress and BPD. Tools such as VOSviewer, Citespace, and the R package Bibliometrix were employed to analyze Coauthorship, co-citation, and keyword co-occurrence networks, as well as to identify emerging research fronts and influential studies. The analysis identified 597 relevant publications, showing a steady increase in research output over the 20-year period, with a significant surge in the last decade. The United States led in research contributions, followed by China and Germany, with notable collaborations among these countries. Coauthorship analysis highlighted key research institutions, such as Harvard University and the University of California, as central nodes in the research network. Thematic clustering revealed five major research areas: antioxidant mechanisms, inflammation, molecular pathways, lung development, and therapeutic interventions. The keyword co-occurrence analysis showed a shift in research focus over time. Early studies concentrated on basic pathophysiological mechanisms, while recent research has increasingly focused on advanced molecular techniques, such as gene expression and targeted therapies. Notably, the study identified emerging research hotspots, including the role of extracellular vesicles and cellular senescence in BPD, as well as the potential therapeutic applications of antioxidants like superoxide dismutase mimetics. This bibliometric study provides a comprehensive overview of the research landscape on oxidative stress and BPD, identifying key trends, influential authors, and emerging research topics. The findings underscore the importance of continued research in this field, particularly in translating basic scientific insights into clinical applications to improve outcomes for infants affected by BPD. The study also highlights potential areas for future investigation, including the development of novel therapeutic strategies targeting oxidative stress in BPD.

Digital competences in primary and secondary education: a trend visualisation analysis through VOSviewer

Introduction: In an increasingly interconnected society, digital skills are increasingly important in the education of the next generations. Therefore, it is necessary to know the main trends in this field of studies. Methods: This study conducts a trend visualisation analysis on digital competences in basic and secondary education, using the VOSviewer tool to map and visualise the relationships between authors, institutions, and research topics. Results: The visualisation reveals a significant increase in scholarly output related to digital competences, especially from 2020 onwards. Co-authorship networks and keyword co-occurrence highlight central nodes of collaboration and emerging themes in this field of study. Conclusions: The results underline the importance of an interdisciplinary approach and the need to strengthen digital competences in teacher education.

Society 5.0: A Bibliometric Analysis from Management Approach

The Goals of Society 5.0 provided an innovative viewpoint on the function and significance of technological advancement in resolving contemporary social issues in contemporary society, In light of this, the researcher attempted to determine the current publication status of Society 5.0 within the field of management. The researcher applied bibliometric analysis to examine a total of 125 documents that were published within a span of five years. The findings revealed four distinct clusters that base on the themes of framework, understanding society 5.0, utilization of society 5.0, and challenges. The co-authorship network among Russia, Italy, and the United States is mostly impressive. Future studies should incorporate edited books, chapters, and monographs to boost Society 5.0's bibliometric analysis. Include all Society 5.0-related fields.

Beyond Borders: The Accelerating Momentum of Domestic Violence Research Worldwide

This paper covers publication trends, co-author networks, and research keyword co-occurrences on academic research related to domestic violence between 2000 and 2023. Throughout these years, first, the number of published articles dealing with this topic was very limited, from just four articles in the year 2000 to 37 in 2013. Still, after an imposing surge in publications registered after 2013, particularly between 2020 and 2023, the numbers increased from 217 to 653, establishing a significantly increased impact on the reviewed issue at a global level. This network identifies some central figures in the research community, such as Gene Feder, Louise M. Howard, and Nicky Stanley among others. It underlines the existence of collaboration clusters around issues such as gender, domestic violence, mental health, and social work, hence emphasizing the very essence of interdisciplinary research. Through keyword co-occurrence analysis, the word cloud shows some central themes to include intimate partner violence and the effect of COVID-19 on different population focuses, including strong qualitative research methods. The second word cloud, that of author affiliation, demonstrates the concentration of research output by leading institutions, with a high volume emanating from the UK, but also global collaboration - significant contributions from universities in Australia being one of them. Domestic violence is a complicated issue that affects individuals and communities of all ages, genders, sexual orientations, educational backgrounds, and more. These terminological complications in defining domestic violence can result in confusion during the practice of identification, assessment, and intervention. This study follows a holistic approach to bibliometrics in reviewing scholarly literature on domestic violence by drawing on data from Lens.org along with the visualization tools of VOSviewer. Improvement in understanding the domestic violence research landscape, major contributors, collaboration patterns, and the gap in research is what this study attempts to address. A total of 92,443 documents in their study were filtered to 2,362 scholarly works that included research articles published from 1999 up to 2023. The findings indicate the important factors of institutions and countries, the necessity of interdisciplinary-wise collaboration, and emerging hotspots of research. A bibliometric approach emphasizes that for effective intervention and prevention, there is a need for systematic reviews and synthesis of the available literature to provide informed evidence-based policy and practice in the context of domestic violence.

Tobacco control research on the African continent: a 22-year literature review and network analysis

ObjectiveDescribe the landscape of tobacco-related topics, funders and institutional networks in Africa.Data sourcesWe searched PubMed, Embase and African Index Medicus for published articles from January 1996 to August 2018 in...

Role of Virtual Reality to Enhance Learning Motivation: A Bibliometric Analysis

The rapid advancement of virtual reality (VR) technology has sparked interest in its potential use in educational settings. This study investigates how virtual reality could enhance learning motivation using a bibliometric analysis of scholarly works published between 2020 and 2024. The primary objectives are to identify significant research trends, notable works, and emerging subjects in the literature. 300 relevant articles were collected from Scopus, which served as the data source. The analysis was done using bibliometric tools such as VOS viewer. The study focused on co-authorship networks, citation patterns, and phrase co-occurrence in order to map the research landscape. The results demonstrate that interest in VR's potential to raise learning motivation is growing, with interdisciplinary collaborations at foreign institutions playing a significant role in this trend. The significance of integrating technology, creating immersive learning environments, and the psychological impacts of virtual reality on student engagement are highlighted in important findings. Despite the positive advancements, accessibility issues and constraints in long-term impact research were discovered. This research contributes to the body of knowledge currently in existence and offers useful information for academics, educators, and policymakers with its in-depth examination of Virtual Reality's effect on educational motivation. More research is required to close the gaps observed to fully realize the potential of virtual reality in education.

Evaluation of Top Journals and Authors in Behavioral Economics: A Bibliometric Approach

Behavioral economics has become an essential subfield within economics, integrating psychological insights to better understand decision-making processes. This study conducts a comprehensive bibliometric analysis to evaluate the evolution of behavioral economics, identify key research themes, and map the contributions of influential authors. Using data sourced from the Google Scholar database, the study analyzes publication trends, co-authorship networks, and the temporal development of research areas. The findings reveal that core concepts such as behavioral finance, public policy, and experimental economics continue to dominate the field, while emerging areas like consumer behavior and insurance indicate new research directions. The co-authorship analysis highlights the importance of collaboration among scholars in shaping the field's development. These insights provide valuable implications for researchers, educators, policymakers, and funding bodies in guiding future research, curriculum development, and resource allocation. This study contributes to a deeper understanding of the intellectual structure and trajectory of behavioral economics.

Identifying authorial roles in research: A Kano model-based bibliometric analysis for the Journal of Medicine (Baltimore) 2023.

The landscape of research roles within academic journals often remains uncharted territory, with authorial contributions frequently reduced to linear hierarchies (e.g., professor and assistant professor). The Kano model, traditionally used in customer satisfaction research, offers a nuanced framework for identifying the multifaceted roles of authors in scholarly publications. This study utilizes the Kano model to dissect and categorize the roles of authors in the medicine field. To conform to the hypothesis, China is the research leader while the US is the research collaborator, as reflected in the publications of the journal of Medicine (Baltimore) in the year 2023. We conducted a comprehensive bibliometric analysis of all research articles published in the journal of Medicine (Baltimore) in 2023. The Kano model was applied to classify authors into 5 categories reflective of their research roles: followers, leaders, partners, contributors, and collaborators. Data on author publications and co-authorship networks with multi-author rates (MARs) were analyzed to assign Kano categories based on the authorship positions of first and corresponding authors. Descriptive statistics and network analysis tools were used to interpret the data, including radar plots, geographical maps, and Kano diagrams. The analysis covered 1976 articles, uncovering a complex network of author roles that extends beyond the conventional binary distinction of lead and supporting authors (i.e., leading, and following researchers). A research leader in China and a collaborator in the US were conformed to support the hypothesis, based on their publications (1148 vs 51) and MARs (12.20% vs 19.61%). The Kano classification was visually adapted to classify authors (or entities) into 5 categories. The combined choropleth and geographical network maps were illustrated to identify author roles in research briefly. The Kano model serves as an effective tool for uncovering the diverse contributions of authors in medical research. By moving beyond the lead and follower dichotomy, this study highlights the intricate ecosystem of authorial roles, emphasizing the importance of each in advancing knowledge within the field of medicine. Future application of the Kano model could foster a more collaborative and inclusive recognition of contributions across various disciplines.

Hospital Performance and Operational Management: A Bibliometric Review of Key Factors Affecting Effectiveness

This study employs bibliometric and co-authorship network analyses to investigate the landscape of research in hospital performance and operational management. Using VOSviewer, key themes were visualized to depict the concentration and evolution of research areas from technology integration to quality management within healthcare settings. The study identifies central researchers and maps collaborative networks, revealing both densely interconnected groups and isolated researchers. Practical implications are discussed for academic researchers, hospital administrators, and policymakers, highlighting areas for strategic development and potential collaboration. Limitations such as selection bias and the exclusion of qualitative impact underscore the need for cautious interpretation of the results. The study provides a foundational tool for stakeholders to understand the current research environment and to guide future healthcare management practices effectively.

Analysis of Predicting Co-Authorship Networks Using Support Vector Machine Model

Analysis of Predicting Co-Authorship Networks Using Support Vector Machine Model