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<p>This study presents a bibliometric analysis of the top 100 most-cited papers published in the <Emphasis Type="BoldItalic">Journal of Robotic Surgery</Emphasis> (JORS), aiming to identify publication patterns, leading authors and institutions, and major research themes. Publication data were retrieved from Scopus, including all original articles and review papers up to December 2025. A total of 2,534 documents were identified, comprising 2,126 original articles and 408 reviews, with the United States (1,045 publications), China (329), Italy (210), the United Kingdom (203), and India (123) as leading contributors. North Sichuan Medical College (56 publications) and Icahn School of Medicine at Mount Sinai (36) were the most productive institutions. The top 100 most-cited papers, published between 2008 and 2024, included 80 research articles and 20 reviews, with an average age of 7.66 years and 53.29 citations per paper. Annual publication output peaked in 2025 (551 articles), while mean citations per year increased over time, reaching 35.70 for the most recent papers. Co-word analysis using VOSviewer revealed three primary thematic clusters. The first cluster focused on training, simulation, and performance assessment, emphasizing virtual and augmented reality, haptic feedback, structured curricula, and platform-specific interfaces such as the da Vinci system. The second cluster centered on spine surgery, highlighting robotic-assisted and image-guided procedures, pedicle screw placement, minimally invasive techniques, intraoperative imaging, and postoperative outcomes in both adult and pediatric populations. The third cluster concentrated on urologic oncology, particularly prostate surgery, integrating perioperative outcomes, complication profiles, learning curves, and institutional or surgeon-level performance metrics. Across all clusters, studies consistently combined technological innovation with clinical application, including comparative evaluations of robotic versus conventional procedures, patient-centered outcomes, preclinical models, and novel surgical technologies such as 3D printing, augmented reality, and telesurgery. These findings demonstrate that highly cited research in robotic surgery emphasizes both clinical efficacy and technical development, with strong attention to training, outcome optimization, and emerging technologies. The study provides a comprehensive overview of influential research, guiding future investigations, and policy decisions in robotic-assisted surgery.</p>

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A bibliometric analysis of the top 100 most-cited articles published in the Journal of Robotic Surgery

  • 期刊论文

  • 发表日期：

    2025年12月16日

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  • Siddig Ibrahim Abdelwahab,
  • Manal Mohamed Elhassan Taha,
  • Abdullah Farasani,
  • Jobran M. Moshi,
  • Ahmad Assiri,
  • Saeed Alshahrani,
  • Khaled A. Sahli,
  • Hussam M. Shubaily,
  • Marwa Qadri,
  • Amani Khardali,
  • Waseem Hassan

摘要

This study presents a bibliometric analysis of the top 100 most-cited papers published in the Journal of Robotic Surgery (JORS), aiming to identify publication patterns, leading authors and institutions, and major research themes. Publication data were retrieved from Scopus, including all original articles and review papers up to December 2025. A total of 2,534 documents were identified, comprising 2,126 original articles and 408 reviews, with the United States (1,045 publications), China (329), Italy (210), the United Kingdom (203), and India (123) as leading contributors. North Sichuan Medical College (56 publications) and Icahn School of Medicine at Mount Sinai (36) were the most productive institutions. The top 100 most-cited papers, published between 2008 and 2024, included 80 research articles and 20 reviews, with an average age of 7.66 years and 53.29 citations per paper. Annual publication output peaked in 2025 (551 articles), while mean citations per year increased over time, reaching 35.70 for the most recent papers. Co-word analysis using VOSviewer revealed three primary thematic clusters. The first cluster focused on training, simulation, and performance assessment, emphasizing virtual and augmented reality, haptic feedback, structured curricula, and platform-specific interfaces such as the da Vinci system. The second cluster centered on spine surgery, highlighting robotic-assisted and image-guided procedures, pedicle screw placement, minimally invasive techniques, intraoperative imaging, and postoperative outcomes in both adult and pediatric populations. The third cluster concentrated on urologic oncology, particularly prostate surgery, integrating perioperative outcomes, complication profiles, learning curves, and institutional or surgeon-level performance metrics. Across all clusters, studies consistently combined technological innovation with clinical application, including comparative evaluations of robotic versus conventional procedures, patient-centered outcomes, preclinical models, and novel surgical technologies such as 3D printing, augmented reality, and telesurgery. These findings demonstrate that highly cited research in robotic surgery emphasizes both clinical efficacy and technical development, with strong attention to training, outcome optimization, and emerging technologies. The study provides a comprehensive overview of influential research, guiding future investigations, and policy decisions in robotic-assisted surgery.