Co-authorship Network Research Articles

Assessing the Impact of Technological Innovations in Healthcare: A Bibliometric Study of Medical Devices

Technological innovation in healthcare has emerged as a transformative force, reshaping the landscape of medical practices and patient care. This research conducts a comprehensive bibliometric analysis to assess the impact of technological innovation in healthcare. Using VOSviewer, co-authorship, citation, and keyword co-occurrence networks are visualized and analyzed. A systematic literature review is conducted to collect relevant articles within a specific timeframe. The analysis identifies key research areas, influential authors, and the overall impact of healthcare technology. The findings provide valuable insights for policymakers, researchers, and practitioners, guiding evidence-based decision-making and shaping the future of healthcare technology.

E-Learning in College: Bibliometric Analysis of Virtual Learning Environments and Online Course Delivery

Electronic Learning, also known as e-learning, has become an integral part of modern education systems, revolutionizing traditional learning practices in higher education. This research paper presents a comprehensive bibliometric analysis of virtual learning environments (VLEs) and online course delivery in higher education. The study involves data collection from reputable academic databases, including Web of Science, Scopus, PubMed, Google Scholar, and institutional repositories. The research methodology includes co-authorship network analysis, journal and conference analysis, citation analysis, and keyword co-occurrence analysis using VOSviewer software. The analysis reveals collaborative patterns among researchers, influential publication outlets, highly cited papers, and emerging research themes in electronic learning. The results offer valuable insights into the evolution of electronic learning research, identifying key contributors, trends, and gaps in the field. This study aims to guide educators, researchers, and policymakers in enhancing electronic learning experiences and shaping the future of education in higher institutions.

Bibliometric Analysis of the Adoption and Innovation of Agricultural Processing Technologies: A Global Perspective

The adoption and innovation of agricultural processing technology play a vital role in ensuring food security, sustainability, and competitiveness in the agricultural sector. This research presents a comprehensive bibliometric analysis of academic literature on agricultural processing technology adoption and innovation from a global perspective. The study aims to identify key research trends, influential authors, major research themes, and emerging areas of interest in this domain. The dataset was collected from reputable scholarly databases, and VOSviewer analysis was used to visualize co-authorship networks, keyword clusters, and citation impact maps. The results revealed seven distinct clusters of research themes, including agricultural enterprise and innovation policy, market competitiveness, quality of food processing technology, technology innovation for rural development, sustainable development, technology transfer, big data in agriculture, and agribusiness and innovation technology. Moreover, ten highly cited research papers were identified, signifying their significant impact on the field. The findings offer valuable insights for policymakers, researchers, and industry stakeholders to enhance agricultural productivity, promote sustainable practices, and foster technology-driven innovations for a resilient global food system.

Bibliometric Analysis Study about Organizational Change and Innovation

Organizational change is both a challenging obstacle and a common occurrence in high-tech companies. Change can improve adaptability and leverage knowledge based on the dynamic capability perspective, but according to the organizational inertia perspective, it can also increase coordination costs and provoke conflict. Moreover, innovation is essentially a bilateral or coupling activity. On the one hand, it involves identifying a need or, in economic terms, a demand. The marketability of a novel product or process entails technical knowledge, which may be accessible to the general public but may also include novel scientific and technical knowledge resulting from original research. We present a quantitative analysis of bibliometrics. By analyzing 456 articles, we identify the prominent academic institutions, countries, journals, authors, and co-authorship networks and their position within these variables.

Combining Bibliometric and Social Network Analysis to Understand the Scholarly Publications on Artificial Intelligence

This article aims to conduct a comprehensive study employing bibliometric and social network analysis to explore scholarly publications in artificial intelligence (AI). A co-authorship network analysis of countries/regions and institutions, a thematic analysis based on the co-occurrence of keywords, and a Spearman rank correlation test of social network analysis are conducted using VOSviewer and SPSS, respectively. According to the research power analysis, the United States and China are the most significant contributors to the relevant publications and hold dominant positions in the co-authorship network. Universities play a crucial role in promoting and carrying out relevant research. AI has been increasingly applied to address new problems and challenges in various fields in recent years. The Spearman rank correlation analysis indicates that research performance in AI is significantly and positively correlated with social network indicators. This article reveals a systematic picture of the research landscape of AI, which can provide a potential guide for future research.

Visualization of the relationship between fungi and cancer from the perspective of bibliometric analysis

The relationship between cancer and microorganisms has been extensively studied, with bacteria receiving more attention than fungi. However, fungi have been shown to play a significant role in cancer development and progression. Understanding the underlying mechanisms is crucial for identifying new avenues in prevention and treatment. To evaluate the current state of research on fungi and cancer, we conducted a comprehensive bibliometric analysis. Using the Web of Science Core Collection database, we searched for English-language articles published between 1998 and 2022. Analyzing the resulting publication data, we identified trends, patterns, and research gaps. Our analysis encompassed co-authorship networks, citation analysis, and keyword co-occurrence analysis. With 8283 publications identified, averaging 331.32 publications per year, our findings highlight China, the United States, India, Japan, and Germany as the top contributing countries. The Chinese Academy of Sciences, Sun Yat-Sen University, and University of São Paulo emerged as the most productive institutions. Key themes in the literature included “cancer,” “cytotoxicity,” “apoptosis,” “metabolites,” and “fungus.” Recent trends indicate increased interest in keywords such as “green synthesis,” “molecular docking,” “anticancer activity,” “antibacterial,” “anticancer,” and “silver nanoparticles.” Our study provides a comprehensive assessment of the current research landscape in the field of fungi and cancer, offering insights into collaborative networks, research directions, and emerging hotspots. The growing publication rate demonstrates the rising interest in the topic, while identifying leading countries, institutions, and research themes serves as a valuable resource for researchers, policymakers, and funders interested in supporting investigations on fungi-derived compounds as potential anti-cancer agents.

Trends and frontiers of research on telemedicine from 1971 to 2022: A scientometric and visualisation analysis

Background With the continuous development of the Internet and information technology, telemedicine has gradually become a popular medical model, which has always attracted much attention. Especially in recent years, research has shown a rapid increase in the use of telemedicine due to the impact of COVID-19. We have conducted a scientific metrological analysis of telemedicine to identify its hot spots and frontiers and promote cooperation and development. Methods We retrieved 19,171 articles related to telemedicine published from 1971 to 2022 in the Web of Science (WOS) database. Then, we conducted co-author network analysis (author, institution, country), co-citation analysis (author, journal, literature) and burst analysis (thematic trends and frontier topics). Results The number of publications has been on the rise since 1993 and began to rise rapidly in 1997. Influenced by the COVID-19 pandemic, the number of articles doubled in 2020 compared to the prior year. The United States produced the greatest number of articles (43.4%). Although studies in Greece are fewer and more recent, the country is demonstrating tremendous development potential in this field and is an active contributor to telemedicine research. The main research topics identified include the application, system and services of telemedicine; the application of telemedicine in providing medical services to rural and remote areas where medical resources are scarce; the quality control of medical images in telemedicine; the application of telemedicine in chronic disease care; and the comparison of in-person medical care and telemedicine. Emerging topics include the application and impact of telemedicine during the COVID-19 pandemic. Conclusion The main telemedicine research fields over the past 52 years are identified, the meanings of analyses results are discussed, and emerging trends are highlighted.

Global Trends and Future Directions in Agricultural Remote Sensing for Wheat Scab Detection: Insights from a Bibliometric Analysis

The study provides a comprehensive bibliometric analysis of imaging and non-imaging spectroscopy for wheat scab (INISWS) using CiteSpace. Therefore, we underpinned the developments of global INISWS detection at kernel, spike, and canopy scales, considering sensors, sensitive wavelengths, and algorithmic approaches. The study retrieved original articles from the Web of Science core collection (WOSCC) using a combination of advanced keyword searches related to INISWS. Afterward, visualization networks of author co-authorship, institution co-authorship, and country co-authorship were created to categorize the productive authors, countries, and institutions. Furthermore, the most significant authors and the core journals were identified by visualizing the journal co-citation, top research articles, document co-citation, and author co-citation networks. The investigation examined the major contributions of INISWS research at the micro, meso, and macro levels and highlighted the degree of collaboration between them and INISWS knowledge sources. Furthermore, it identifies the main research areas of INISWS and the current state of knowledge and provides future research directions. Moreover, an examination of grants and cooperating countries shows that the policy support from the People’s Republic of China, the United States of America, Germany, and Italy significantly benefits the progress of INISWS research. The co-occurrence analysis of keywords was carried out to highlight the new research frontiers and current hotspots. Lastly, the findings of kernel, spike, and canopy scales are presented regarding the best algorithmic, sensitive feature, and instrument techniques.

E-Learning in Higher Education during the COVID-19 Pandemic: A Bibliometric Analysis

Abstract It is undeniable that the COVID-19 pandemic has caused serious problems to education on a global scale, as well as to health systems and national economies. As a result, governments around the world have had to make extraordinary efforts to solve the various problems encountered not only in the area of health and the economy, but also in education. In terms of education, the changes include, but are not limited to, curriculum revisions, the provision of technology resources and infrastructure, changes in the academic calendar, and policies regarding instructional delivery and assessment. To limit the spread of the pandemic, universities, institutes and academic schools had to switch to online education using available educational platforms. This has been reflected in the emergence of numerous publications dealing with the subject. The study aims at the quantitative evaluation of the research carried out and published in the field of e-lerning in the university environment in the context of the pandemic crisis, starting from a comprehensive bibliometric analysis based on Scopus publications. The distribution of published papers in terms of years, authors, institutions, countries, journals, the network of co-authors, co-citations, and the cooccurrence of keywords is discussed. The main conclusions regarding the research trends in the field are drawn. The study represents a useful resource for those interested in the field of e-lerning in the academic environment in the context of COVID-19 that captures the main changes produced in the field and the potential research directions.

A Bibliometric Analysis of Sustainability Education in Tourism Universities

There is growing interested in the analysis of academic training in the sustainable field of tourism. However, no explicit body of knowledge has focused on evaluating the performance of a scientific activity in this field. Accordingly, this study systematically reviews academic research on the sustainability of the educational background in tourism universities through a bibliometric analysis. For this purpose, bibliometric tools related to research activity impact indicators and analysis of co-authorship networks and keywords have been used. The results show that the topic analysed is recent and that the number of publications continues to grow. They also show that only some academics have addressed this topic, which implies that more research is needed. Therefore, in this framework, thematic specialization could be a strategic option. Researchers can use these results to approach future studies about suggested research avenues better.

THE BIBLIOMETRIC ANALYSIS OF THE AUGMENTED REALITY RESEARCH CARRIED OUT WITH THE EXPERIMENTAL METHOD PUBLISHED IN SCOPUS BETWEEN 2012-2022

This study aims to make a bibliometric analysis of the augmented reality articles carried out with the experimental method between 2012 and 2022 in the Scopus database. To realize the aim of the research, 255 articles published between 2012-2022 were reached. The bibliometric data of 255 articles from the Scopus database were analyzed using VOS viewer 1.6.18 software and visualized with the Tableau software. According to the research findings, 255 articles were produced by researchers from 49 different countries. According to co-authorship networks, six different clusters were formed. National Taiwan University of Science and Technology is the leading institution in AR research with the experimental method. The 255 articles reviewed were published in 159 different journals. Interactive Learning Environments journal ranks first with 13 publications by far, while Computers and Education journal stands out with 878 citations in terms of the number of citations. When the keywords used in the articles were examined, it was seen that the concepts of virtual reality, mobile learning, motivation, and cognitive load came to the fore. The results obtained within the scope of the research were shared by discussing with other study findings obtained from the literature.

Scientometric review of Web 3.0

Web 3.0 is a next-generation web architecture that envisions a more decentralised, secure and intelligent Internet. Its implications are vast and could potentially impact various research areas, such as e-commerce, social networking, finance, healthcare and education. It can be seen as a confluence of various technological advancements, including blockchain, artificial intelligence, semantic web and decentralised web technologies, which continue to attract substantial research interest in several dimensions and categories throughout the last few decades. A detailed scientometric analysis was undertaken to obtain concise understanding on development and publication trends of this multi-dimensional field. Corpus of 1154 articles, extracted from Web of Science from 2002 to 2022, were used to identify networks of co-authorship, keywords, subject categories, institutions and countries engaged in publishing on Web 3.0 along with co-citation and cluster analysis. Networks and interactive visualisations created using CiteSpace revealed new research areas where Web 3.0 may be beneficial and potential directions of development for Web 3.0 discipline. We identify Journalism 3.0, Personal Data Stores (PDS), Decentralised File Storages (DFS) and Metaverse as emerging domains Web 3.0 research, seeking overwhelming research attention globally.

Ecological Footprint Towards Sustainable Development: A bibliometric analysis

The present empirical study aims to analyze the ecological footprint because Climate change has become a global phenomenon due to its threat to sustainable development. This examine a bibliometric analysis to adjust the present knowledge from 761 publications related to ecological footprint from this period, covering 33 countries, 31 source , 150 institutions, 585 funding agencies, and 172 authors. between 2013 and 2022. This research evaluated citation restraints and co-Authorship networks to acknowledge contributions from select authors, organizations, and countries. Next, a co-citation breakdown of the prior literature identified four major thematic areas: ecological footprint, sustainability, climate change, the carbon footprint, and development'. For this, we use R studio productive techniques which include two types of methods first descriptive analysis like documents, and authors. Overview while another type contains structural analysis. The statistical software tool R package and VOS viewer are used to do all of these operations. The findings show that ecological footprint is a key tool for long-term environment development. This Study offers policy recommendations for creating long-term good governance that will assist national economic development.
 Key words: Bibliometric analysis, Content analysis, Ecological Footprint, Network analysis, Sustainable development
 
 

Artificial Intelligence Application in Law: A Scientometric Review

Several topics, problems, and established legal principles are already being challenged using artificial intelligence (AI) in numerous applications. The powers of AI have been snowballing to the point where it is evident that AI applications in law and various economic sectors aid in promoting a good society. However, questions such as who the prolific authors, papers, and institutions are, as well as what the specific and thematic areas of application are, remain unanswered. In the current study, 177 papers on AI applications in law published between 1960 and April 29, 2022, were pulled from Scopus using keywords and analysed scientometrically. We identified the strongest citation bursts, the most prolific authors, countries/regions, and primary research interests, as well as their evolution trends and collaborative relationships over the past 62 years. The analysis also identified co-authorship networks, collaboration networks of countries/regions, co-occurrence networks of keywords, and timeline visualisation of keywords. This study concludes that systematic study and enough attention are still lacking in AI application in law (AIL). The methodical design of the required platforms, as well as the collecting, cleansing, and storage of data, and the collaboration of many stakeholders, researchers, and nations/regions are all problems that AIL must still overcome. Both researchers and industry professionals who are devoted to AIL will find value in the findings.

Bibliometric analysis of the association between drinking water pollution and bladder cancer.

Bladder cancer has become an increasingly intractable health problem worldwide. Long-term drinking water pollution is known to promote its occurrence. This study aimed to analyze the research status, hot spots, and future trends of drinking water pollution and bladder cancer through extensive bibliometric examination to provide reference data for better prevention and management of bladder cancer. The Scopus database developed by Elsevier was browsed for articles that met the predefined criteria using the search terms related to drinking water and bladder cancer. Included articles were further evaluated by year of publication, subject category, institution, article type, source journal, authors, co-authorship networks, and text mining of titles by R software packages tm, ggplot2 and VOSviewer software. In total, 687 articles were selected after a comprehensive literature search by the Scopus database, including 491 research articles, 98 review articles, 26 conference papers, 23 letters and 49 other documents. The total number of articles published showed an upward trend. The United States has the largest number of published articles (345 articles), institutions (7/10) and funding sponsors (top 5). The journal with the most publications was Environmental Health Perspectives, with 46 published. The highest number of citations up to 2330 times for a single article published in 2007 on the journal of Mutation Research. Professor Cantor K.P. was the highest number of publications with 35 articles and Smith A.H. was the most cited author with the number of citations reaching 6987 times overall and 225 times per article. The most frequent keywords excluding the search subject were "arsenic", "chlorination", "trihalomethane", and "disease agents". This study is the first systematic bibliometric study of the literature publications on drinking water pollution and bladder cancer. It offers an overall and intuitive understanding of this topic in the past few years, and points out a clear direction research hotspots and reveals the trends for further in-depth study in future.

A Bibliometric Analysis of Workplace Deviance from 2004 to 2020

AbstractPurpose: The primary goal is to offer a bibliometric study of the work on workplace deviation between 2004 and 2020 till December. 650research publications were examined out of 292 finalised final considerations. The research aims to identify the most significant journalsin this field, the most cited publications in a specific year, and notable authors. After that, an inter-country co-authorship network map ismade available.Methodology: Author used the Web of Sciences database to look at the information about the different papers in the study and also usedthe VOS viewer software to make maps of keyword occurrence,co-authorship network ship between countries, and maps of coauthorship.Findings: The results of this study prove that the leading publication in the year 2017, the most influential journal, is the Journal ofBusiness Ethics. The most cited paper is about developing a measure of workplace deviance. Furthermore, the most prominent authors areBennett, R. J., and Robinson, S. L. (2000). The United States and the state university of Florida are the countries and schools with the mostpatents.Originality/Value: This study provides comprehensive literature on workplace deviance and a reliable picture of this area usingbibliometric techniques. The study results help future authors interested in researching this topic.Keywords: Bibliometric analysis, Vosviewer, Workplace deviance

Mapping 26years of climate change research in finance and accounting: a systematic scientometric analysis.

Climate change and climate finance continue to attract substantial research interest in several dimensions and categories through COVID-19 breakout and resulting disruptions were crucial. An in-depth scientometric analysis was undertaken to gain concise insights on evolution and publication trends of this multi-dimensional field. Corpus of 657 articles, extracted from Web of Science from 1995 to 2020, were used to identify networks of co-authorship, keywords, subject categories, institutions, and countries engaged in publishing on climate finance along with co-citation and cluster analysis. Networks and interactive visualizations created using CiteSpace revealed new research areas where climate finance may be beneficial along with potential directions of development for climate finance discipline. We identify carbon neutrality, accounting for sustainability, planetary boundaries framework, sustainable finance, managing climate risk for third pole, financial innovation and green finance, green swans, COVID pandemic and corporate law and governance in climate finance as emerging domains of climate finance research, seeking overwhelming research attention globally.

Insights from the co-authorship network of the Italian academic statisticians

Nowadays, new technologies have favored communication among scholars from different universities and countries, and huge amount of data and scientific works have become more and more accessible. This has led to an increase in the multidisciplinarity of research products, but often also to a more specialized level of knowledge of the scholars. Therefore, while belonging to the same disciplinary field, scholars may present different working styles and willingness to collaborate according to their specific topics of interest. This plays a particularly relevant role in Italy, where tenured scholars in academic institutions are classified in sub-fields that, in turn, may be aggregated for purposes of recruitment and career advancement. Aim of this contribution is to propose a methodological approach to understand if the work and collaborative style of academic scholars belonging to different sub-fields is really so similar as to justify their grouping. For illustrative purposes, we focus on the co-authorship network of Italian academic statisticians relying on the database of scientific works published since 1990 until 2021 and downloaded by SCOPUS. From this database, we obtain a network composed of 758 nodes and 1730 edges. Some network measures at node level representing the work and collaborative style of scholars (i.e., number of publications, degree, degree strength, some centrality indices, transitivity, and external-internal index) are explained through quantile regression models. Results provide policy makers with useful insights on which sub-fields present significant differences in terms of research interests and collaborative style, thus not justifying their aggregation for recruitment and career advancement purposes.

Bibliometric Analysis and Visual Mapping of the Articles Published in the ILEF Journal from the Beginning to the Present

Bibliometric analyses reveal the intellectual, social, and conceptual structure of the publications. In bibliometric analysis, the trend of scientific publications in various disciplines in a certain period is revealed with the help of quantitative indicators. The primary purpose of this study is to create a bibliometric profile of the articles published in the Journal of Ankara University Faculty of Communication between 2014 and 2021. The research preferred the bibliometric method because it is convenient to examine any publication and categorize and report the data systematically. 105 articles written by 128 researchers were examined in the journal during the specified period. The research examined bibliometric indicators such as article and citation frequencies, most cited authors, co-citation analysis, common word analysis, and co-authorship networks. In addition, criteria determined by Price, Lotka, and Pareto were used in the research to reveal author productivity. The research results showed that the articles published in the Journal of Ankara University Faculty of Communication do not comply with Price, Lotka, and Pareto principles. Research findings show that empirical studies in communication have gained importance compared to theoretical studies in recent years.

Landolt Indicator Values in Modern Research: A Review

The conservation of biodiversity and ecosystem sustainability is essential for human well-being. An important tool for addressing this issue is ecological indicators. This overview document examines recent studies covering the period 2018–2022 that use the values of the Landolt indicator as one of the analysis methods. The total number of records examined was 8910. After excluding irrelevant, inconsistent and duplicate records, 91 records were selected. The selection criteria were the presence of the English abstract and a digital object identifier (DOI). We chose the VOSviewer software for data analysis and visualization. The analysis of research geography, types of plant communities under research, research topics, the network of co-authorship and relationship papers, as well as the publication activity and citation rate of the authors, is carried out. The results revealed that the geography of using Landolt indicator values is quite wide, while they are more often used in Switzerland, Italy and Russia. The most important and frequently cited studies were carried out in the context of large international projects, confirming the importance of scientific cooperation in the development of environmental indicators. The Landolt indicator values showed effectiveness in the study of forests, bogs, riparian vegetation, a coarse quarry waste dump, and in assessing the urban environment. At the same time, the vegetation dynamics and influence of various factors on plants were studied most often. It was revealed that Landolt indicator values can serve as an effective universal method that integrates many aspects of the environment and allows for a comprehensive multicriteria analysis of environmental factors, habitat stability, vegetation diversity and dynamics for different plant communities at different spatial scales over a wide geographical area. This is confirmed by the high citation rate of the papers. We recommend the Landolt indicator values for a wider use, including in the monitoring of ecosystems and individual species for their conservation and sustainable management. In order to achieve this goal, it is necessary to extend the network of relationships between the authors, which is not very well developed at the moment. The research results obtained are useful for the further successful development not only of the Landolt indicator values but also of environmental indicators in general.