Prolific Institutions Research Articles

Glucagon-like peptide-1 agonists in cardiovascular diseases: a bibliometric analysis from inception to 2023

Background: In recent years, glucagon-like peptide-1 (GLP-1) agonists have garnered increasing attention for their potential cardiovascular benefits beyond glycemic control in patients with diabetes. Understanding the research landscape surrounding GLP-1 agonists and cardiovascular diseases (CVDs) is crucial for informing clinical practice and guiding future research endeavors. This bibliometric analysis aimed to comprehensively assess the scholarly output and trends in this field, shedding light on the evolving landscape of GLP-1 agonists’ role in cardiovascular health. Methods: The publications concerning GLP-1 agonists in CVDs were gathered from the Web of Science Core Collection, and visualizations were created utilizing Excel 2019, Cite Space, and VOS viewer software. Results and Conclusion: Using bibliometric and visual methods, the research hotspots and trends regarding GLP-1 agonists in cardiovascular diseases were pinpointed. Additionally, a thriving interest in GLP-1 agonists research within cardiovascular medicine was observed, with a notable surge in publications from 2016 onwards. The analysis revealed that the United States and China are the leading contributors, accounting for over 50% of the total publications. The University of Copenhagen and the University of Toronto emerged as the most prolific institutions in this field. Co-citation analysis highlighted the influential role of landmark clinical trials, such as the LEADER, ELIXA, and EXSCEL. Keyword trend analysis identified the emergence of newer GLP-1 agonists, such as tirzepatide and semaglutide, as well as a growing focus on topics like ‘healthy obesity’ and chronic kidney disease. These findings suggest that the research landscape is evolving, with a focus on expanding the therapeutic applications of GLP-1 agonists beyond glycemic control. Overall, this bibliometric analysis provided insights into the current state and future directions of research on GLP-1 agonists and their impact on cardiovascular health, guiding future research endeavors, and informing clinical practice.

Mapping the Evolution of Digital Health Research: Bibliometric Overview of Research Hotspots, Trends, and Collaboration of Publications in JMIR (1999-2024).

While bibliometric studies of individual journals have been conducted, to the best of our knowledge, bibliometric mapping has not yet been utilized to analyze the literature published by the Journal of Medical Internet Research (JMIR). In celebration of the journal's 25th anniversary, this study aimed to review the entire collection of JMIR publications from 1999 to 2024 and provide a comprehensive overview of the main publication characteristics. This study included papers published in JMIR during the 25-year period from 1999 to 2024. The data were analyzed using CiteSpace, VOSviewer, and the "Bibliometrix" package in R. Through descriptive bibliometrics, we examined the dynamics and trend patterns of JMIR literature production and identified the most prolific authors, papers, institutions, and countries. Bibliometric maps were used to visualize the content of published articles and to identify the most prominent research terms and topics, along with their evolution. A bibliometric network map was constructed to determine the hot research topics over the past 25 years. This study revealed positive trends in literature production, with both the total number of publications and the average number of citations increasing over the years. And the global COVID-19 pandemic induced an explosive rise in the number of publications in JMIR. The most productive institutions were predominantly from the United States, which ranked highest in successful publications within the journal. The editor-in-chief of JMIR was identified as a pioneer in this field. The thematic analysis indicated that the most prolific topics aligned with the primary aims and scope of the journal. Currently and in the foreseeable future, the main themes of JMIR include "artificial intelligence," "patient empowerment," and "victimization." This bibliometric study highlighted significant contributions to digital health by identifying key research trends, themes, influential authors, and collaborations. The findings underscore the necessity to enhance publications from developing countries, improve gender diversity among authors, and expand the range of research topics explored in the journal.

Finding the new potential research on diabetic kidney disease and hemodialysis in healthcare insurance databases: A bibliometric analysis

To the best of our knowledge, bibliometric analysis has not been performed for studies related to diabetic kidney disease (DKD) and hemodialysis using healthcare big data. Herein, the aim of this bibliometric analysis was to identify emerging research trends in DKD and hemodialysis within healthcare insurance databases by exploring authors, co-author networks, and countries to discover new potential research areas. A bibliometric study was conducted, utilizing data obtained from the Scopus database. Keywords such as diabetic kidney disease, hemodialysis, insurance or big data, and prediction were employed. Inclusion criteria were original articles and review articles written in English published between 2010 and 2022. VOSviewer and the Bibliometrix package in R were used for comprehensive bibliometric analysis. VOSviewer facilitated keyword co-occurrence analysis to identify clusters and visualize relationships among keywords, emphasizing distinct research themes, keyword density, and network visualization. Meanwhile, Bibliometrix allowed exploration of key metrics such as prolific authors and institutions, publication trends, co-authorship networks, citations, document types, emerging trends through keyword analysis, and network visualizations, including co-authorship and keyword co-occurrence. Results from both tools were integrated for a thorough analysis. The present study yielded 2,199 articles, which was reduced to 1,828 after removing duplicates and applying inclusion criteria. This bibliometric analysis found that machine learning and artificial intelligence are emerging yet remain relatively under-researched in the context of hemodialysis and DKD. The prominence of topics such as diabetic nephropathy, non-insulin treatments, and lifestyle modifications highlighted ongoing research priorities in DKD and hemodialysis. Taiwan's dominance in publications suggested robust research activity in this field, while international collaboration underscored global interest and the potential for diverse research perspectives. The need for similar research development in Indonesia, leveraging big data and machine learning, indicates opportunities for advancing the understanding and management of DKD and hemodialysis within the region.

Mapping the scientific landscape and evolution of the international journal of surgery: A scientometric analysis (2004-2024)

Aim: The purpose of this study was to analyze the publication characteristics and development of the International Journal of Surgery over its 20-year history. Methods: This study included articles published in IJS during the 20 years from 2004 to 2024. The data were analyzed using the Citespace, VOS viewer, and the ‘Bibliometrix’ package in R software. We studied the dynamics and trend patterns of IJS literature production through descriptive bibliometrics and identified the most prolific authors, publications, institutions, and countries. Bibliometric maps were utilized to visualize published articles’ content and identify the most prolific research terms and topics in IJS, as well as their evolution over time. Results: A total of 5964 publications in the IJS from 2004 to 2023 and 356 publications in 2024 were included in the analysis. The study revealed a positive trend in literature production, although the number of articles published in IJS has slightly decreased recently. The most productive country was China (n=1,211), the most productive institution was Sichuan University (n=151), and the most prolific author was Wang Yang (n=87). The top 15 most cited articles focus primarily on research reporting standard guidelines for surgical studies. Research published in IJS mainly targeted middle-aged and older adults, emphasizing postoperative complications and treatment outcomes. The future research focus in IJS might center on integrating artificial intelligence and deep learning technologies to revolutionize surgical research and practice. Conclusions: The International Journal of Surgery significantly contributes to advances in surgical research. IJS prioritized enhancing patient outcomes and advancing surgical techniques, focusing on middle-aged and older adults, postoperative complications, and treatment outcomes. The journal emphasized robust evidence through retrospective, controlled, and cohort surgical studies. Integrating artificial intelligence and deep learning represented a significant frontier poised to revolutionize surgical care, shaping the future landscape of research and practice.

Strategic Planning in Education: A Bibliometric Analysis

This study conducts a bibliometric analysis of strategic planning in education, using SCOPUS data from 2010 to 2024. The research identifies key trends and focal areas within the literature, particularly in higher education. From an initial 1,082 documents, a refined dataset of 400 was analyzed based on specific inclusion criteria. The findings reveal a significant increase in interest in strategic planning over the past decade, with the United States, China, and Indonesia as leading contributors. King Abdulaziz University and Texas A&M University are among the most prolific institutions. Central themes include the integration of strategic planning with higher education management, sustainability, and inclusive education. Network visualization shows "strategic planning" as a core theme, closely linked with topics like strategic management and curriculum development. These insights highlight the critical role of strategic planning in navigating educational challenges, offering valuable guidance for enhancing institutional effectiveness and educational outcomes.

Kidney medicine meets computer vision: a bibliometric analysis.

Rapid advances in computer vision (CV) have the potential to facilitate the examination, diagnosis, and treatment of diseases of the kidney. The bibliometric study aims to explore the research landscape and evolving research focus of the application of CV in kidney medicine research. The Web of Science Core Collection was utilized to identify publications related to the research or applications of CV technology in the field of kidney medicine from January 1, 1900, to December 31, 2022. We analyzed emerging research trends, highly influential publications and journals, prolific researchers, countries/regions, research institutions, co-authorship networks, and co-occurrence networks. Bibliographic information was analyzed and visualized using Python, Matplotlib, Seaborn, HistCite, and Vosviewer. There was an increasing trend in the number of publications on CV-based kidney medicine research. These publications mainly focused on medical image processing, surgical procedures, medical image analysis/diagnosis, as well as the application and innovation of CV technology in medical imaging. The United States is currently the leading country in terms of the quantities of published articles and international collaborations, followed by China. Deep learning-based segmentation and machine learning-based texture analysis are the most commonly used techniques in this field. Regarding research hotspot trends, CV algorithms are shifting toward artificial intelligence, and research objects are expanding to encompass a wider range of kidney-related objects, with data dimensions used in research transitioning from 2D to 3D while simultaneously incorporating more diverse data modalities. The present study provides a scientometric overview of the current progress in the research and application of CV technology in kidney medicine research. Through the use of bibliometric analysis and network visualization, we elucidate emerging trends, key sources, leading institutions, and popular topics. Our findings and analysis are expected to provide valuable insights for future research on the use of CV in kidney medicine research.

Deciphering the global research trends and significance of moral intelligence via bibliometric analysis.

Moral Intelligence (MI) as a concept has gained importance in recent years due to its wide applicability in individual, organizational, and clinical settings or even policy making. The present study employed Bibliometric analysis to understand the emerging topics associated with MI and its global research trend. This paper's primary aim was (i) to explore the temporal and geographic growth trends of the research publication on MI. (ii) to identify the most prolific countries, institutions, and authors, working on MI, (iii) to identify the most frequent terminologies, (iv) to explore research topics and to provide insight into potential collaborations and future directions, and (v) to explore the significance of the concept of moral intelligence. Bibliometric analysis was used to understand the emerging topics associated with MI and its global research trend using the SCOPUS database. VOS viewer and R were employed to analyze the result. Through the analysis conducted, the development of the construct over time was analyzed. Results have shown that Iran and the United States and these two combined account for 53.16% of the total country-wise publications. Switzerland has the highest number of Multi-county publications. Authors from Iran and Switzerland have the most number of publications. Emerging topics like decision-making, machine ethics, moral agents, artificial ethics, co-evolution of human and artificial moral agents, green purchase intention etc were identified. The application of MI in organisational decision-making, education policy, artificial intelligence and measurement of moral intelligence are important areas of application as per the results. Research interest in MI is projected to increase according to the results delineated in this article.

Low-cost simulation in health professions education: A bibliometric analysis and literature review of 20 years of research

IntroductionGaining practical experience in health professions education is a significant challenge. Simulation-based training has emerged as a key solution to this issue, but the high costs associated with advanced equipment and software limit accessibility for many institutions. Hence, to close this gap, this study aims to map the research field of low-cost simulation in health professions education through a bibliometric analysis. MethodsUtilizing a bibliometric study design, we analyzed publications from 2003 to 2022 in the Scopus Database, in accordance to Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. Publications discussing low-cost simulation in English were included. Data points such as research design, study location, and outcomes were extracted. The Scival Platform and VosViewer were used to analyze publication trends, prolific institutions, authors, journals, and conceptual and intellectual structure. ResultsThe study found an increase in low-cost simulation research from 2003 to 2022, with significant growth after 2015. Observational studies predominated (68.57%), with general surgery being the most studied specialty. Less than half of the studies reported cost details, and only 2 compared the low-cost model with a standard. The United States led in scientific production, with notable collaboration networks. The keyword co-occurrence and co-citation analyses highlighted 4 main clusters in low-cost simulation research, emphasizing surgical training. ConclusionsThis investigation highlights the expanding interest in low-cost simulation to enhance access to hands-on training in health professions education, especially under financial constraints. However, the research field requires further development, particularly in validating these models against their more expensive counterparts. Such validation is crucial for ensuring the effectiveness and comparability of low-cost simulation.

A bibliometric analysis of contrast-enhanced ultrasound over the past twenty years.

Contrast-enhanced ultrasound (CEUS) technology has been developed for decades, and its application is becoming increasingly more extensive. In this study, bibliometrics was used to characterize the development status of CEUS over the past 20 years and to identify future research hotspots. We collected data from the Web of Science and analyzed the literature related to CEUS published from 2002 to 2022. We examined 6,382 publications and analyzed the publication year, country of origin, affiliated institutions, authors, journal, categories, keywords, and research frontiers within the relevant literature. Using bibliometric analysis, we aimed to determine the general research direction and current publication trends. This allowed us to identify the most prolific and outstanding authors, institutions, countries, and keywords in CEUS research. For data collection, analysis, and visualization, we employed VOSviewer (Leiden University, Leiden, the Netherlands), Excel (Microsoft Corp., Redmond, WA, USA), CiteSpace, and biblioshiny. These tools helped us gather, analyze, and visualize the data effectively. The analyzed publications indicated a consistent upward trend in the number of works published between 2002 and 2022. Notably, China and Sun Yat-sen University emerged as the most prolific countries and institutions, respectively. China published 391 articles with 5,817 citations and was the leader in terms of international cooperation. Moreover, pediatrics-related keywords have surged in frequency in recent years. The amount of research on CEUS has increased rapidly and continues to grow, with China being at the forefront of this research field. The application of CEUS in some pediatric diseases is a recent research hotspot and perhaps warrants close attention.

CHARTING THE LANDSCAPE OF CORPORATE PHILANTHROPY: A BIBLIOMETRIC EXPLORATION OF TRENDS AND THEMES

Purpose: This study identifies the main area and current dynamics of Corporate Philanthropy (CP) and offers recommendations for future research directions. Design/methodology/approach: Using bibliometrics, we examined a sample of 558 studies from Scopus, an online abstract and citation repository, to examine the research activities relating to CP between 1955 and 2022. Articles and authors with high citation impact scores are identified based on the publication’s position and significance within the field. We then explore contemporary issues, identify possible limitations towards the development of the literature, and propose new lines of inquiry for future studies. Findings: In addition to providing an in-depth analysis, this study discusses recent discoveries and shifts in mindsets pertaining to Corporate Philanthropy, taking into account previously documented findings which regarded CP disadvantageous to many companies mainly due to money outflow. The ‘agency theory’ considers the relationship between a principal and its hired representative. Past reports cited managers leveraging on CP as a way to justify unnecessary expenses. Meanwhile, the latest studies discovered that CP brings in various advantages to the companies such as additional profit avenues, enhanced visibility, and stronger market presence, benefiting its stakeholders and securing the sustainability of those companies. Future research on CP can be expanded through our suggested research directions. Research limitations/implications: This study focuses on using the Scopus database as the primary source of the journals. Hence, our findings may differ from the studies conducted using other databases. Originality/value: This is among the pioneer studies using Harzing and VOSviewer software to analyse the development of CP studies. Several future research agendas are generated due to the review, which focuses on annual publication trends, the most prolific authors, the most cited papers, the most prolific countries, the most prolific institutions and the most abundant sources. Keywords: Corporate philanthropy, bibliometric analysis, citation network, Scopus, systematic literature review. Cite as: Aziz, N. F., Ramli, R., Mohd Amir A., & Wahid, H. (2024). Charting the landscape of corporate philanthropy: A bibliometric exploration of trends and themes. Journal of Nusantara Studies, 9(2), 160-184. http://dx.doi.org/10.24200/jonus.vol9iss2pp160-184

Research trends and hotspots in biologics for plaque psoriasis: A bibliometric study from 2004 to 2023

Biologics have revolutionized the management of plaque psoriasis and are flourishing. We aimed to construct a knowledge structure in this field through bibliometrics, analyze research trends and cutting-edge hotspots to inspire future research directions, and provide valuable references for clinical decisions. Publications on biologics for plaque psoriasis in the Web of Science database core collection from 2004 to 2023 were searched. Bibliometric analysis and scientific knowledge mapping were performed with R, CiteSpace, and VOSviewer software. 2,672 articles written by 9,474 authors from 67 countries were included in the study. The number of annual publications has steadily increased over the last 20 years. The most prolific countries, institutions, and authors were the United States, Novartis, and Prof. Reick K., respectively. Reference analysis categorized the research base of the field into 10 main clusters. "Efficacy" and "safety" were the most frequent keywords, and cluster analysis categorized the research in this area into four groups. Burst detection captured current hot keywords including interleukin (IL)-17 inhibitors, IL-23 inhibitors, "drug survival," "discontinuation," "Covid-19," "real-world," and "clinical features." Global publications on biologics research in plaque psoriasis have grown steadily and rapidly over the past two decades. Efficacy and safety are the highest topics of concern for researchers, and IL-17 inhibitors, IL-23 inhibitors, real-world studies, efficacy prediction, and retreatment after biologics failure or discontinuation are current research hotspots.

Unraveling the trends in business process management: a comprehensive bibliometric analysis of management and business literature

PurposeThis study aims to analyze international scientific production from 1960 to 2023 on business process management (BPM), highlighting the latest trends in BPM in the field of management and business during the 21st century.Design/methodology/approachWe conducted a bibliometric analysis of 729 BPM articles from management and business journals using the SCOPUS database and VOSviewer software to map the scholarly landscape.FindingsNearly 45% of the papers were published between 2018 and 2023, prominently featuring the Business Process Management Journal. The University of São Paulo and Queensland University of Technology were the most prolific institutions. Significant emerging trends identified include Strategic Management, Digital Transformation, and IoT. Author Röglinger was noted for the highest publication rate.Research limitations/implicationsThe analysis was restricted to journal articles from one database, potentially overlooking insights from conferences, books, and other formats.Practical implicationsThe study highlights the significant benefits of integrating technologies like Artificial Intelligence and IoT in BPM, improving operational efficiency, competitiveness, and innovation in adaptability and service personalization.Social implicationsTechnological advancements in BPM could enhance employment, require new skills, support a sustainable economy, and improve organizational transparency and service accessibility, bolstering corporate social responsibility and inclusion.Originality/valueThis research offers a unique overview of the integration of emerging technologies in BPM, shedding light on their strategic and social implications, and providing critical insights for optimizing processes and fostering business innovation.

Gender equality and women’s empowerment in Arab countries: a bibliometric review of the literature on SDG 5

Purpose This manuscript conducts a bibliometric analysis of scholarly literature on sustainable development goal 5 (SDG 5) – gender equality, focusing on Arab countries. The purpose is to comprehensively assess the research landscape, identify trends, contributors and research hotspots and inform evidence-based policies for advancing gender equality in the region. Design/methodology/approach A descriptive bibliometric analysis was used, using the Scopus database for data collection. The study covers English-language research papers published in peer-reviewed journals between 1993 and 2022, using a comprehensive search strategy focused on gender equality in Arab countries. Findings The analysis of 634 papers revealed a steep rise in publications post-2015, aligning with the adoption of SDGs. The growth trajectory and citation analysis demonstrated a significant increase in both publications and impact over the last decade. The study identified prolific journals, subject areas, countries, institutions and authors contributing to the literature on gender equality in Arab countries. Notable research hotspots include domestic violence, female genital mutilation, women’s empowerment, microfinance and gender-based violence. Originality/value This study contributes to the literature by providing a detailed bibliometric review of SDG 5 research in Arab countries, offering insights into the growth patterns, prolific contributors and research hotspots. The identification of recent research topics, such as child marriage in conflict contexts and female leadership, adds originality to the analysis.

A Systematic Literature Review and Bibliometric Analysis of Consumer Ethnocentrism

The paper analyses the scientific research on consumer ethnocentrism using bibliometric analysis from 1958 to 2023 from the Scopus database. The research investigates the evolution of the consumer ethnocentrism studies published to date; prolific authors, journals, research articles, institutions and countries; predominant themes and their evolution; emerging areas through systematic literature review, bibliographic coupling and keyword co-occurrence technique. The results highlight that the year 2022 witnessed the maximum publications; Journal of International Marketing is at the leading position; USA has dominance in publications; the article titled “Domestic Country Bias, Country-of-Origin Effects, and Consumer Ethnocentrism: A Multidimensional Unfolding Approach” by Balabanis and Diamantopoulos has maximum citations; theoretical foundation and measurement, antecedents, moderators, possible outcomes, and emerging areas are the central themes based on keywords. The study reveals the scope of future research on tourism, education, and health sector in cross-cultural settings.

Diffusion tensor imaging from past to present: A bibliometric analysis with trending topics and global productivity during 1980–2022

AbstractDiffusion tensor imaging (DTI) provides increasing opportunities for clinicians. As bibliometric studies define trends of novel modality applications, this study on DTI analyzed global productivity, most prolific institutions, and research areas. Articles obtained from the Web of Science (WoS) database were analyzed with the VOSviewer program, biblioshiny library in the R studio software bibliometrix package, exponential smoothing estimator, and with the SPSS (Version: 22.0) statistical software. In descending order, the United States, China, and Germany were the top 3 countries publishing DTI research. In descending order, the top 3 most productive institutions were California, Harvard and Johns Hopkins University. Trend topics include traumatic brain injury, tract‐based spatial statistics, fractional anisotropy, prognosis, machine learning, autism, white matter integrity and microstructure and Parkinson's disease. According to the estimations, 345 DTI articles will be published in 2025 (95% CI: 254–437). This study indicates the ever‐growing employment of DTI in clinical and basic sciences.

25 years of Clinical Implant Dentistry and Related Research (CIDRR): A modern bibliometric and Altmetrics network analysis.

Since its establishment in 1999, the journal of Clinical Implant Dentistry and Related Research (CIDRR) has consistently disseminated notable clinical and translational research within the domain of oral implantology. As the journal approaches its milestone 25th anniversary, this study endeavors to systematically delineate the publication trends, level of evidence, and bibliometric indices characterizing the initial quarter-century of CIDRR's scholarly activity. Notably, the investigation adopts a contemporary methodology by incorporating Altmetric analysis, thereby enriching the evaluation with an assessment of the broader societal and online impact of the published research. A comprehensive search was performed in SCOPUS and PubMed to access the bibliographic data of all articles published in the journal from 1999 to 2024. Additionally, Altmetric database was used to obtain social media attention scores (AAS). Journal's overall performance via impact factor and quartile range was assessed. Most cited papers were identified and the most prolific authors, institutions and countries and the collaboration networks among those were assessed. The level of evidence of all articles was determined based on Oxford level of evidence scale. All articles were categorized based on their major topic in the field of implant dentistry. Throughout its first 25 years of activity, CIDRR published 1912 articles with an annual growth rate of 2.67% and consistently being ranked at Q1 quartile in "Dentistry (miscellaneous)" and "Oral Surgery" journal categories. When clinical studies are considered, level I and II evidence constituted 22.82% and 11.82% of all articles, respectively. Sweden, the USA, and Italy as well as Göteborgs Universitet, Sahlgrenska Akademin. and Malmö Högskola were the most prolific countries and institutions respectively. "Implant system/design/characteristics," "Bone Augmentation," and "Implant Prosthesis" were the top most investigated topics. The examination of the journal's initial 25 years highlighted that CIDRR has surpassed similar dental research journals in publishing a greater number of high-level evidence articles. It also showcased diverse country- and author-collaboration networks. However, the journal's social media presence is still evolving. This article, presenting a comprehensive overview of the journal's scientometric and bibliographic activities, serves as a valuable reference for researchers, clinicians, and stakeholders, offering insights into both traditional and contemporary perspectives.

Analysis of Research Publications on Pharmacogenomics of Sulphonylurea - A Scientometric Study.

This study analysed pharmacogenomics studies on sulfonylurea research publications using the Pubmed and Scopus databases. In the end, 65 publications from the years 2015 to 2021 were noticed. The objective of this study was to analyse these studies using scientometric tools, such as frequency counts, percentages, relative growth rates, doubling times, and collectively. A maximum of 19 (29.23%) research publications were contributed during the 2020 research period. The relative growth rate tends to decrease from 2015 to 2020 and the doubling time tends to increase and decrease after 2020. Up to 2 (3.08%) research publications were contributed by Ewan R. Pearson and Chen each. The top authors have an average degree of collaboration of 0.90 and 41 (63.83%) of their research publications are articles. The United States is the major contributor with 19 (29.23%) pharmacogenomics research publications on sulfonylureas. Although the United States is the most prolific country in sulfonylurea pharmacogenomics research, there are few Indian institutions that are not listed among the most prolific institutions.

A Bibliometric Analysis of Literature on the Impact of Rheumatoid Arthritis on Oral Health (1987-2024).

This bibliometric analysis investigates the research landscape concerning the impact of rheumatoid arthritis (RA) on oral health through a comprehensive literature review. The study includes all English-language articles retrieved from the PubMed database, focusing on the relationship between RA and various aspects of oral health without any filter. The analysis of 261 publications revealed fluctuations in publication patterns from 1987 to 2024, with notable surges and declines in research activity. Collaborative networks among authors and institutions were identified, highlighting key contributors and prolific institutions such as Karolinska Institutet. The themes prevalent in the research included demographics, oral microbiota, biomarkers, treatment outcomes, and molecular mechanisms. Trend topic and thematic evolution analyses elucidated shifts in research focus from traditional concerns to emerging areas such as oral microbiology and immunological mechanisms. Key findings underscored the need for more clinical trials to comprehend the impact of RA on oral health, enhanced interdisciplinary collaboration, exploration of emerging areas, and longitudinal studies. This analysis provides valuable insights into the evolving research landscape, informing future investigations and interventions to improve oral health outcomes in individuals with RA.

Bibliometric and visualized analysis of type 2 diabetic osteoporosis from 2013 to 2022

Bibliometric and visualized analysis of type 2 diabetic osteoporosis from 2013 to 2022

Seventeen Years of the ACM Transactions on Multimedia Computing, Communications and Applications: A Bibliometric Overview

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) has been dedicated to advancing multimedia research, fostering discoveries, innovations, and practical applications since 2005. The journal consistently publishes top-notch, original research in emerging fields through open submissions, calls for papers, special issues, rigorous review processes, and diverse research topics. This study aims to delve into an extensive bibliometric analysis of the journal, utilising various bibliometric indicators. The paper seeks to unveil the latent implications within the journal’s scholarly landscape from 2005 to 2022. The data primarily draws from the Web of Science (WoS) Core Collection database. The analysis encompasses diverse viewpoints, including yearly publication rates and citations, identifying highly cited papers, and assessing the most prolific authors, institutions, and countries. The paper employs VOSviewer-generated graphical maps, effectively illustrating networks of co-citations, keyword co-occurrences, and institutional and national bibliographic couplings. Furthermore, the study conducts a comprehensive global and temporal examination of co-occurrences of the author’s keywords. This investigation reveals the emergence of numerous novel keywords over the past decades.