Trend Of Collaboration Research Articles

Data-Driven Insights for a Holistic Understanding of Research Culture

Research environments (and their measurement and tracking) are becoming increasingly complex, with rapid Artificial Intelligence (AI) advancements, interdisciplinary collaboration, and global connectivity shaping the way research knowledge is created and disseminated. Within this dynamic landscape, universities hold an ever increasing collection of valuable data, which are stored within core operational systems including research information systems, research management systems or grants databases, human resource systems and course management systems. This treasure trove of information, often overlooked and underutilised, not only serves as a valuable tool in guiding strategic decisions, but also could be further used to provide a comprehensive approach to monitoring research integrity and culture. This critical reflection follows extensive conversations and debates around defining and assessing ‘research culture’. How can we possibly measure something that has, up until now, been viewed as merely a concept? How can we generate useful metrics that reflect the culture of a research institution? Our reflections will draw attention to the potential of leveraging readily accessible information to gauge and benchmark research integrity and culture practices. We discuss how regular habitual integration of these data sources enables continuous monitoring and measurement of research culture as well as the ability to assist in the assessment of interventions or initiatives designed to improve it. We reflect on how this approach ensures that University leaders have a consistent and up-to-date understanding of the research environment through which they can identify strengths, pinpoint areas for improvement, and cultivate a more robust, inclusive, and transparent research ecosystem. The current paper, through illustrative examples from one UK-based institution, explores the potential in harnessing existing data, such as collaborative trends and prevailing research practices, to gain valuable insights into the dynamics of academic research. In addition, we explore the advantages and drawbacks of using this data to develop potential metrics that can be used to recognise and reward a healthy research culture.

Bibliometric Insights into the "Kathmandu School of Law Review"

This bibliometric study analyzes the academic reach, thematic focus, and collaboration trends of the Kathmandu School of Law Review (KSLR). Through keyword analysis, the research highlights recurring themes such as human rights, governance, policy-making, and development, reflecting a multidisciplinary approach to legal scholarship. Visualizations of co-authorship networks reveal limited collaboration among scholars, suggesting opportunities for the journal to foster joint publications and interdisciplinary partnerships. Citation network analysis indicates a niche area of research with a few central authors like Puja Mitra and Yubaraj Sangroula, while the low overall citation count points to the need for broader academic engagement and visibility. Bibliographic coupling maps show emerging research clusters, indicating the potential for KSLR to build authority in key areas such as South Asian legal systems and international human rights. The study concludes with recommendations for KSLR to increase global outreach, promote interdisciplinary studies, and enhance academic collaboration to strengthen its impact within and beyond the region.

Taiwan’s scientific collaboration under the New Southbound Policy: Trends, effects, mechanisms, and implications

My dissertation explores the evolving trends and patterns in Taiwan’s scientific collaboration under the New Southbound Policy (NSP), with a focus on research co-authorship with NSP target countries across Southeast and South Asia, as well as Australia and New Zealand. Launched in 2016, the NSP represents Taiwan’s strategic effort to reintegrate into the Indo-Pacific region amidst shifting geopolitical realities. This study investigates the underexplored dynamics of scientific collaboration and the seldom-tested policy effects in a non-Western, non-colonial context, exemplifying science diplomacy in action. Specifically, this research addresses three key questions: (1) What are the long-term trends in research collaboration with NSP target countries from the mid-2000s to 2021? (2) How do co-authorship patterns and dynamics manifest in cross-specialization profiles and authorship orders among these countries? (3) What impact has the NSP had on the volume of co-authored research? Methodologically, this study combines bibliometric, network, and modeling approaches. It employs established bibliometric indicators for measuring attractiveness and preferences among partnered countries, multilayer network analysis, and piecewise models of change. The primary data sources are drawn from Clarivate’s Web of Science, accessed in both aggregated forms via the Observatoire des sciences et des technologies and as raw JSON data retrieved through the Web of Science Expanded API. By analyzing the patterns, effects, and mechanisms of Taiwan’s scientific collaboration with NSP target countries, this dissertation contributes to broadening theories and methodologies of international scientific collaboration. It also sheds light on South–South collaboration and offers policy implications for nations navigating similar geopolitical challenges.

A Century of Mathematical Epidemiology: A Bibliometric Analysis and Visualization of Research Trends.

Defined as the application of mathematical models and methods for the study of disease spread and control, Mathematical epidemiology has now emerged as a very important area for understanding public health dynamics. The paper presents an overall bibliometric analysis of research in mathematical epidemiology using the Scopus database. This overview comprises 1,787 documents: journal articles, book chapters, and conference papers from 819 sources. From 1916 to 2024, it has been possible to identify key trends, influential authors, and central themes through the application of the PRISMA methodology. The results reflect that since 2000, there has been a significant growth in research production; most of it was during the period of the COVID-19 pandemic. The study also determined trends in international collaboration, leading funding sponsors, and the dynamics underlying major research topics. According to this study, the role of mathematical models in epidemiology is becoming increasingly prominent, driven by the need to address complex global health challenges and an expanding influence on public health strategies.

Analyzing hockey publications through scientometric and altmetric perspectives

Purpose This study aims to present scientometric mapping and altmetric analysis of publications related to “Hockey” in the past three decades. By using the advanced analytical techniques of mapping coupled with altmetric analysis, this paper aims to reveal the complex network of collaborations, the dispersion of expertise worldwide and prevailing thematic trends in the field of hockey. Design/methodology/approach The data was extracted from the Web of Science (WoS) database and Altmetric Explorer for articles related to hockey over the past three decades. VOSviewer was used to conduct network analysis whereas MS-Excel was used for altmetric data analysis. The study focused on the articles retrieved using the key term “Hockey” in English language publications. The altmetric attention scores (AAS) were used to measure the level of online attention on different platforms, complementing traditional bibliometric analysis. Findings The study reveals a notable increase in the productivity of hockey research over the past 30 years, with a specific focus on major surges in publication output and altmetric attention in recent times. Coauthorship and country-wise mapping analysis highlight global research collaboration trends, while keyword analysis underscores thematic concentrations. Key journals such as British Journal of Sports Medicine and American Journal of Sports Medicine emerge as crucial dissemination platforms. The importance of X posts (Formerly Twitter) and Mendeley in the diffusion of hockey literature is highlighted by altmetric research. Originality/value The study provides a concise overview of research conducted on the game of hockey. This research will be advantageous for researchers and individuals involved in the hockey community, as it offers bibliographic insights and aids in identifying suitable media for disseminating their findings.

Research Output, Key Topics, and Trends in Productivity, Visibility, and Collaboration in Social Sciences Research on COVID-19: A Scientometric Analysis and Visualization

COVID-19 has caused a surge in scientific publications, with increased collaboration. This study aims to elucidate scientific output, focal topics, emerging themes, and trends and patterns of productivity, visibility, and collaboration within social sciences research (SSR) on COVID-19. A scientometric analysis was conducted utilizing Biblioshiny and VOSviewer software. About 65,742 records published on WOS between 2020 and 2022 were analyzed. Topics such as “telehealth,”“well-being,” and “inequalities,” were among the key topics while “interventions” and “mental well-being” were among emerging key topics. Collaboration patterns were regional. Harvard Medical School, the University of Toronto, and the University of Oxford emerge as leaders in collaboration, productivity, and influence. The USA, Italy, India, Spain, and Brazil serve as regional hubs for facilitating collaboration. The USA, England, and China exhibit leadership and influence, playing pivotal roles In shaping the global research. These findings are important for policymakers, funding agencies, and researchers in cultivating future research topics and collaborative efforts. The findings can inform strategic decision-making, resource allocation, and policy development to address present and future health crises. Additionally, these efforts contribute to advancing global sustainability initiatives and promoting human well-being. Encouraging international collaboration is essential, particularly for tackling the regional challenges encountered by countries with limited domestic research capabilities. Future research can improve the methodology used by di-versifying data sources beyond WOS.

The State of Computer Vision Research in Africa

Despite significant efforts to democratize artificial intelligence (AI), computer vision which is a sub-field of AI, still lags in Africa. A significant factor to this, is the limited access to computing resources, datasets, and collaborations. As a result, Africa’s contribution to top-tier publications in this field has only been 0.06% over the past decade. Towards improving the computer vision field and making it more accessible and inclusive, this study analyzes 63,000 Scopus-indexed computer vision publications from Africa. We utilize large language models to automatically parse their abstracts, to identify and categorize topics and datasets. This resulted in listing more than 100 African datasets. Our objective is to provide a comprehensive taxonomy of dataset categories to facilitate better understanding and utilization of these resources. We also analyze collaboration trends of researchers within and outside the continent. Additionally, we conduct a large-scale questionnaire among African computer vision researchers to identify the structural barriers they believe require urgent attention. In conclusion, our study offers a comprehensive overview of the current state of computer vision research in Africa, to empower marginalized communities to participate in the design and development of computer vision systems.

Interdisciplinary perspective on architectural programming: current status and future directions

PurposeArchitectural programming, as a critical phase in construction projects, has been widely recognized for its importance and advantages throughout the construction process. With the rapid development of the socioeconomic landscape, architectural programming has garnered increasing attention from various other disciplines, becoming a key trend in interdisciplinary collaboration. This study aims to provide a comprehensive understanding of the current status and future directions of architectural programming from an interdisciplinary perspective through scientometric analysis and systematic review.Design/methodology/approachThis study first collected English journal articles on architectural programming published between 1975 and 2024 from the Web of Science and Scopus databases. After an initial screening of titles and abstracts, 515 articles were selected for scientometric analysis to reveal the current state and advantages of architectural programming research in multidisciplinary fields. Subsequently, a second screening of full-text articles identified 75 journal articles for systematic review, focusing on research topics and challenges in interdisciplinary applications.FindingsThe study reveals an exponential increase in the number of papers related to architectural programming between 1975 and 2024, particularly in the last decade. Six key research topics of architectural programming in multidisciplinary fields were identified: (1) performance optimization and evaluation, (2) digitalization and automation development, (3) project management and decision support, (4) improvement of human and social welfare, (5) sustainable resources and environment and (6) educational practices of architectural programming. Additionally, the study identified the main challenges in the interdisciplinary application of architectural programming, including (1) incompatibility among disciplines, (2) limitations of data and methodologies and (3) insufficient social engagement. To address these challenges, three potential future directions were proposed: (1) establishing interdisciplinary teams and platforms, (2) enhancing multi-source data integration and digital transformation and (3) improving governance mechanisms and educational training.Originality/valueBy combining quantitative and qualitative methods, this study provides a comprehensive review of architectural programming research and applications in multidisciplinary fields, offering theoretical foundations and practical references for the future development of architectural programming. This review not only aids in understanding the overall status of current architectural programming research but also offers valuable insights and recommendations for future research directions and practical applications.

Bibliometric analysis of the Japan-Russia scientific cooperation networks using R bibliometrix

Bibliometric analysis is a commonly used tool to assess scientific collaborations within the researchers, community, institution, regions and countries. The analysis of publication records can provide a wealth of information about scientific collaboration, including the number of publications, the impact of the publications, and the areas of research where collaborations are most common. By providing detailed information on the patterns and trends in scientific collaboration, these tools can help to inform policy decisions and promote the development of effective strategies to support and enhance scientific collaborations between countries. This study aimed to analyze and visualize the scientific collaboration between Japan and Russia, using bibliometric analysis of collaborative publications from the Web of Science (WoS) database. The analysis utilized the bibliometrix package within the R statistical program. The analysis covered a period of two decades, from 2000 to 2021. The results showed a slight decrease in co-authored publications, with an annual growth rate of −1.26%. The keywords and thematic trends analysis confirmed that physics is the most co-authored field between the two countries. The study also analyzed the collaboration network and research funding sources. Overall, the study provides valuable insights into the current state of scientific collaboration between Japan and Russia. The study also highlights the importance of research funding sources in promoting and sustaining scientific cooperation between countries. The analysis suggests that more efforts in government funding are needed to increase collaboration between the two countries in various fields.

A Review of Authorship Inflation and Multicenter Collaboration Trends in Orthopedic, Medical, and Surgical Journals Over the Last 60 Years.

Over the past six decades, authorship numbers in academic publications have increased significantly, a phenomenon known as authorship inflation. This study aims to analyze comparative authorship trends and the influence of multicenter collaborations across major orthopedic, medical, and surgical journals. We reviewed metadata from The New England Journal of Medicine (NEJM), Annals of Surgery (AS), and The Journal of Bone and Joint Surgery (JBJS) from January 1, 1960, to December 31, 2019. The number of authors per publication, the prevalence of multicenter studies, and their correlation were analyzed. Data was visualized using heat maps and box plots, and trends were statistically tested using the Jonckheere-Terpstra, Mann-Kendall, and generalized linear mixed models (GLMMs). A total of 73,062 articles were analyzed, with 1,190 articles identified as originating from multicenter studies. The number of multicenter trials was found to have increased significantly over time (p < 0.001), plateauing in NEJM but continuing to rise in JBJS and AS. There was a significant increase in authorship numbers per publication over time, across all journals (p < 0.0001). There was a significant statistical correlation (p < 0.0001) as indicated by the coefficient of determination (r2), for the association between the proportion of publications with >10 authors and the proportion of multicenter publicationsacross all three journals. Authorship inflation in academic publishing may be attributable to the rise in multicenter collaborations. The rate of increase in authorship was more pronounced in medical and surgical journals compared to orthopedic journals, reflecting differing trends across specialties. These findings highlight the evolving nature of research collaboration and authorship practices in academic publishing.

A Longitudinal Evaluation of Collaboration in Plastic Surgery Clinical Research.

Few dedicated, funded clinical research fellowship positions exist in plastic surgery. This study provides insights from an established clinical research fellowship, highlighting its educational impact and confirming the impact of positive institutional support and a collaborative-first approach. All research fellows within the program from 2008 to 2020 were examined during their year of employment and subsequent 2 years. Internal and external collaboration trends were assessed using PubMed affiliations. Correlation between external collaborations and research impact were examined. Research impact was characterized by publication count, journal impact factor, and journal diversity. Thirty-one research fellows were identified, with a 100% match rate. Four phases of development were identified, and a three-period cycle of productivity was noted to occur every 3 years. A shift toward more external collaborations occurred after 2016 (P = 0.008). A positive correlation was observed between external collaborations and academic output (r = 0.72, P = 0.004), journal diversity (r = 0.74, P = 0.004), and journal impact (r = 0.63, P < 0.05). Significant growth was observed in the collaborative networks (P = 0.002), publications (P = 0.003), journal diversity (P < 0.001), and research personnel (P = 0.002). As a result of our strategic decision to engage collaborators across multiple disciplines, there is discernible improvement in measurable impact, contributing to the growth of our program. Dedicating resources to foster deeper collaborations can enrich the field of plastic surgery research, recognizing that this investment fuels the cycle of productivity, offering promising returns to the future.

Research Trends in Wildland Fire Prediction Amidst Climate Change: A Comprehensive Bibliometric Analysis

Wildfire prediction plays a vital role in the management and conservation of forest ecosystems. By providing detailed risk assessments, it contributes to the reduction of fire frequency and severity, safeguards forest resources, supports ecological stability, and ensures human safety. This study systematically reviews wildfire prediction literature from 2003 to 2023, emphasizing research trends and collaborative trends. Our findings reveal a significant increase in research activity between 2019 and 2023, primarily driven by the United States Forest Service and the Chinese Academy of Sciences. The majority of this research was published in prominent journals such as the International Journal of Wildland Fire, Forest Ecology and Management, Remote Sensing, and Forests. These publications predominantly originate from Europe, the United States, and China. Since 2020, there has been substantial growth in the application of machine learning techniques in predicting forest fires, particularly in estimating fire occurrence probabilities, simulating fire spread, and projecting post-fire environmental impacts. Advanced algorithms, including deep learning and ensemble learning, have shown superior accuracy, suggesting promising directions for future research. Additionally, the integration of machine learning with cellular automata has markedly improved the simulation of fire behavior, enhancing both efficiency and precision. The profound impact of climate change on wildfire prediction also necessitates the inclusion of extensive climate data in predictive models. Beyond conventional studies focusing on fire behavior and occurrence probabilities, forecasting the environmental and ecological consequences of fires has become integral to forest fire management and vital for formulating more effective wildfire strategies. The study concludes that significant regional disparities in knowledge exist, underscoring the need for improved research capabilities in underrepresented areas. Moreover, there is an urgent requirement to enhance the application of artificial intelligence algorithms, such as machine learning, deep learning, and ensemble learning, and to intensify efforts in identifying and leveraging various wildfire drivers to refine prediction accuracy. The insights generated from this field will profoundly augment our understanding of wildfire prediction, assisting policymakers and practitioners in managing forest resources more sustainably and averting future wildfire calamities.

Bibliometric analysis on Deep Brain StimulationProcedures Conducted Between 2000-2023

Objective: Deep brain stimulation (DBS) is a treatment method that uses electrodes to stimulate the brain, affecting brain activity and potentially causing medical conditions. It is commonly used to treat Parkinson's disease, essential tremor, dystonia, epilepsy, Tourette syndrome, and obsessive-compulsive disorder. This bibliometric study examines advanced bibliometric parameters in articles published since 2000, focusing on trends in publishing organizations, countries, funding sources, international collaborations, and trend keywords. Materials and Methods: We have searched the Web of Science database to find articles on DBS which published since 2000. The search was performed by using the MESH keywords releated to "Deep brain stimulation". Results: This study presents a comprehensive analysis of 4,601 articles on Deep Brain Stimulation (DBS) from 2000 to 2023, focusing on publication trends, properties, funding, country contributions, and international collaborations. Noteworthy findings include a peak of 413 publications in 2020 and 14,992 citations in 2021. The overall trajectory demonstrates a significant increase in scientific output, with an average of 31.9 citations per article. Publication properties reveal diverse access categories, including 66 Early Access and 2,136 Open Access articles. The majority of records are in the Science Citation Index Expanded (93.980%). Clinical Neurology dominates research topics with 63.464% representation. Funding sources highlight major contributions from the USA, Germany, and China. The USA leads in research output, while the University of Toronto tops institutions. Major journals include "Stereotactic and Functional Neurosurgery" and "Movement Disorders." Keyword analysis emphasizes common themes like "deep brain stimulation" and "Parkinson's disease." International collaborations involve researchers from 75 countries, with the USA leading in total link strength. This study contributes valuable insights into the global landscape of DBS research. Conclusion: This analysis highlights the dynamic nature of Deep Brain Stimulation research, highlighting global collaboration and diverse topics, emphasizing the crucial role of key countries, institutions, and journals.

Decoding the nuances of scholarly output and publication metrics in orthodontics

This comprehensive manuscript endeavors to furnish orthodontic researchers with the necessary tools and knowledge to adeptly navigate the multifaceted landscape of academic publishing, thereby enhancing the efficacy and reach of their scholarly endeavors. It meticulously imparts critical insights and methodologies for comprehending and leveraging publication metrics, such as citation counts, the h-index, and Journal Impact Factors, to strategically plan research trajectories. Furthermore, it offers guidance on adeptly engaging with evaluation agencies such as the American Dental Association (ADA) and the National Institute of Dental and Craniofacial Research (NIDCR), thereby optimizing alignment with grant opportunities. Through the adept utilization of orthodontic bibliometrics, researchers can gain invaluable insights into prevailing collaboration trends and emerging research domains, thus facilitating informed decision-making and prioritization of scholarly pursuits. Additionally, the manuscript delves into the nuanced optimization of publication guidelines to maximize research impact. Spanning both established domains such as biomechanics, anchorage control, and aligner therapy, as well as burgeoning frontiers including 3D printing and artificial intelligence applications in aligner treatment, this manuscript equips orthodontic researchers with the requisite acumen to embark upon a journey of impactful scholarly contributions, thereby catalyzing advancements in patient care within the discipline.

Digital transformation in SMEs: Identifying cybersecurity risks and developing effective mitigation strategies

This study delves into the cybersecurity landscape for small and medium-sized enterprises (SMEs), focusing on identifying prevalent cybersecurity risks, evaluating existing mitigation strategies, and exploring the role of innovation and technology in bolstering cyber resilience. Employing a systematic literature review and content analysis, the research scrutinizes academic journals, industry reports, and government publications from 2015 to 2024, to gather insights into the cybersecurity challenges and strategies pertinent to SMEs. Key findings reveal that SMEs are particularly vulnerable to a range of cyber threats, including phishing, malware, data breaches, and ransomware, primarily due to resource constraints, lack of awareness, and inadequate cybersecurity measures. Effective mitigation strategies highlighted include the adoption of comprehensive cybersecurity policies, regular employee training, and the implementation of advanced technological solutions. The study predicts an increasing reliance on artificial intelligence and machine learning for threat detection, alongside a growing trend of collaboration between SMEs and cybersecurity firms. The research underscores the necessity for supportive policies and frameworks that encourage SMEs to strengthen their cybersecurity posture, recommending financial incentives and the development of SME-specific cybersecurity standards. Building a cyber-secure culture within SMEs, characterized by organizational commitment and regular awareness programs, is identified as crucial for enhancing cyber resilience. Finally, the study emphasizes the importance of cybersecurity for SMEs, offering strategic recommendations for navigating digital threats and suggesting avenues for future research, including the exploration of behavioral aspects of cybersecurity and the impact of emerging technologies.

Trends in publication and collaboration of health-themed systematic reviews before and during the COVID-19 pandemic: A bibliometric study

Trends in publication and collaboration of health-themed systematic reviews before and during the COVID-19 pandemic: A bibliometric study

A bibliometric analysis of literature published on ChatGPT and GPT

Purpose This study aims to analyse the literature published on ChatGPT and generative pre-trained transformer (GPT) available through Scopus to identify the top countries, institutions, authors, journals and titles in terms of publishing and citations in the area.The research also intends to determine the collaborative trends among countries and authors as well as top-used keywords on the topic identified from the analysed literature. Design/methodology/approach The researchers searched the Scopus database to collect and assess the literature on the topic. The paper used six applications such as Biblioshiny, VosViewer, Python, MS Access and Excel and Endnote to collect and analyse the literature. Findings It is found that European countries such as the USA, the UK and Germany took the lead in terms of publishing and impact in the area but the USA stood first with 90 publications and 1,720 citations in this connection. Likewise, the organization “Rheinisch-Westfälische Technische Hochschule Aachen” scored the top position regarding publishing, but Open AI remained on top for getting the highest citations (1,384). Apropos, the author “Choi, Y” produced the highest number of publications. The research also shares the collaborative patterns, top journals and publications in the area, as well as the top-used keywords on the topic. Originality/value To the best of the authors’ knowledge, this is the first study that shares a bibliometric analysis of literature published on GPT and ChatGPT. The research not only fills the research gap on the topic but also shares implications for relevant stakeholders and future research directions for future researchers.

Cross-Disciplinary Perspectives on Teaching Quality: A Systematic Review

This comprehensive systematic review examines the evolution of teaching quality research globally from 1990 to 2019. Analyzing 182 studies, the review identifies key trends, highlighting a significant rise in academic interest since 2012. Notably, the study underscores the cross-disciplinary nature of teaching quality, emphasizing its departure from isolation. The geographical landscape of research reveals an expanding focus, particularly in Asian countries. The review further explores thematic concentrations, research designs, and authorship patterns, revealing insights into collaboration trends. Journal analysis showcases a diverse academic interest in teaching quality across various disciplines. The conclusion urges researchers to diversify perspectives for continued field development.

Patterns and trends of university-industry research collaboration in Ghana between 2011 and 2020

Purpose The ranking of universities and other research-intensive institutions in global ranking systems is based on numerous indicators, including number of articles with external collaboration, number of articles with international collaboration, number of articles with industry collaboration as well as co-patents with industry. The purpose of this paper is to examine university–industry research collaboration in Ghana, with the aim of exploring the relationship between the research output collaborations in the top four universities in Ghana and industry across different geographical scales. Design/methodology/approach This study’s data was obtained from the SciVal database, which drawn its data from the Scopus bibliographic and citation database. The bibliographic and citation data were extracted using a search of the publications affiliated to the University of Ghana, for the period 2011–2020. Findings Key findings demonstrate a constant rise in the number of research publications by the selected universities over time. Research collaboration intensity in the selected universities in terms of co-authored publications was higher as compared to single-authored publications. University–industry research co-authorships were, however, lower when compared to university–university research co-authorships. The university–industry research co-authorships occurred mostly with Europe, Asia-Pacific and North American-based institutions as opposed to African-based institutions. In Ghana, four industry-based institutions were engaged in intensive research with the selected universities. Originality/value This study demonstrates that, for each selected university, it is possible to measure the performance of individual universities in both intra-regional and international collaboration. Such results may be useful in informing policy as well as merit-based public funding of universities in Ghana.

The current status and global trends of clinical trials related to robotic surgery: a bibliometric and visualized study.

Conducting clinical trials can evaluate the effectiveness and safety of surgical robots. To promote the advancement of academic robotic programs in surgery, this study captures the development trend and research hotspots of clinical trials related to surgical robots by bibliometric analysis. Bibliometrix package in R software was used to analyze the publication year, authors, countries, institutes, and journals. The visualization maps of keywords were formed using VOSviewer. The keywords with the strongest citation bursts and the institutional collaboration map were created by CiteSpace. Urology dominates with 31.3% of publications and the controlled clinical trials in urology and orthopedic accounted for the highest proportion, reaching 73%. North America, the USA, and Seoul National University lead in productivity. The most productive country, region and institution are North America, USA and Seoul National University, respectively. The trend of collaboration is regional instead of international. Keyword and burst keyword analysis revealed a primary focus in clinical research on robotic surgery: evaluating process improvements, comparing robotic and traditional surgery, and assessing feasibility. Long-term clinical trials assess surgical robots not only intraoperative performance but also postoperative complications and overall surgical outcomes. The development in the field is unbalanced between regions and countries. To promote multi-center clinical trials, governments can streamline review procedures and establish international consensus review standards, while academic institutions can form academic alliances. Also, the study offers recommendations for the development of academic robotic programs and regional collaboration units in robotic surgery, which may provide researchers with a strong reference for future research.