ArticleInternational journal of surgery (London, England)2026
Global research landscape of robot-assisted surgical training: a 35-year bibliometric and visualization analysis.
Article in International journal of surgery (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Robotic-assisted lymphatic surgery for lymphedema: Bibliometric mapping of an emerging reconstructive field.JPRAS open · 2026Review
- Unveiling the landscape of robotic surgery: Insights into Indian medical perspectives.Bioinformation · 2026Article
- Implementation and user acceptance of a domestic robot-assisted surgical training system: a pilot educational study at the first clinical medical college of Jinan university.Frontiers in medicine · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOver 17 million robot-assisted surgeries (RAS) have been performed globally, driving demand for standardized and effective surgical training. This study maps the 35-year bibliometric landscape of RAS training research to identify trends, gaps, and future directions. MATERIALS AND
methodsWe analyzed 592 publications from the Web of Science Core Collection (1990-2025) using CiteSpace, VOSviewer, and Excel. Metrics included publication trends, citations, author/institutional collaborations, journal impact, keyword clusters, and burst detection.
resultsResearch output grew exponentially, with three evolutionary phases: (1) Technical validation (1998-2010), focusing on prostatectomy and lymphadenectomy; (2) Methodological innovation (2011-2020), emphasizing face and simulator (e.g., Fundamentals of Robotic Surgery); and (3) Standardization/AI integration (2020-2025), prioritizing patient safety and training curriculum. The USA dominated contributions (47.13% of publications), followed by the UK (highest citations/article: 33.43) and Germany. Surgical Endoscopy published the most studies (70), while European Urology had the highest impact (IF: 25.2), The Journal of Robotic Surgery is promising. The analysis identifies three critical challenges currently facing the field: (1) skill transfer from training to clinical practice, (2) integration of artificial intelligence technology, and (3) establishment of a standardized governance framework empowered by AI for robotic surgery training.
conclusionRAS training research still focuses on European and North American countries, with differences in global cooperation and standardized training governance. Future efforts require cross-border partnerships, open access policies, and governance frameworks to coordinate training standards and accelerate the integration of artificial intelligence technology and enhance clinical translation of simulated training results.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.