Scholarlink

<p>Robotic-assisted technologies have increasingly transformed spinal surgery over the past two decades by enhancing precision, minimizing operative risks, and improving clinical outcomes. This study conducted a comprehensive bibliometric analysis of global research on robotic applications in spinal surgery using a multi-tiered search strategy (Title–Abstract–Keywords, Abstract-only, and Title-only) in the Scopus database. Annual publication trends demonstrated consistent growth, with a pronounced rise after 2013, reflecting expanding clinical integration and research interest. Analysis of productivity revealed Tian, W. (55 publications), Theodore, N. (45), and Siewerdsen, J.H. (38) as the most prolific authors. Leading institutions included Harvard Medical School (110), Johns Hopkins University (108), and University of Toronto (103). The United States dominated country-level output with 2,826 publications, followed by China (1066) and Germany (657). Key funding agencies were the National Natural Science Foundation of China (361), NIH (240), and NSF (120), while the most productive journals included <i>World Neurosurgery</i> (254), <i>Spine</i> (185), and <i>European Spine Journal</i> (175). The top 100 most cited documents, published between 2001 and 2021 across 51 sources, comprised 80 original research articles and 20 reviews. These publications exhibited an average of 158.4 citations per document and a mean age of 12.4 years. Early publications (2001–2006) had high total citations but lower annual citation rates, whereas more recent studies (2017–2021) demonstrated increasing annual citation rates, peaking at 22 citations/year in 2020, reflecting growing research interest and impact in the field. Co-word analysis identified four dominant thematic clusters: (1) surgical precision and imaging-guided spinal interventions, (2) neurorehabilitation and functional recovery, (3) robotics in spinal oncology and radiotherapy, and (4) minimally invasive and perioperative safety-focused robotic procedures. Collectively, these themes demonstrate that high-impact research in robotic spinal surgery is driven by technological integration, enhanced surgical accuracy, and the pursuit of improved patient outcomes. Analysis of the top 25 papers reinforced the prominence of robotic guidance, comparative surgical studies, and rehabilitation-focused robotics. The findings clarify prevailing research directions and may assist in guiding the planning of future studies in this field.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Bibliometric analysis of robotic-assisted spinal surgery: trends, impact, and thematic insights

  • 期刊论文

  • 发表日期：

    2026年1月3日

查看全文
  • 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

Robotic-assisted technologies have increasingly transformed spinal surgery over the past two decades by enhancing precision, minimizing operative risks, and improving clinical outcomes. This study conducted a comprehensive bibliometric analysis of global research on robotic applications in spinal surgery using a multi-tiered search strategy (Title–Abstract–Keywords, Abstract-only, and Title-only) in the Scopus database. Annual publication trends demonstrated consistent growth, with a pronounced rise after 2013, reflecting expanding clinical integration and research interest. Analysis of productivity revealed Tian, W. (55 publications), Theodore, N. (45), and Siewerdsen, J.H. (38) as the most prolific authors. Leading institutions included Harvard Medical School (110), Johns Hopkins University (108), and University of Toronto (103). The United States dominated country-level output with 2,826 publications, followed by China (1066) and Germany (657). Key funding agencies were the National Natural Science Foundation of China (361), NIH (240), and NSF (120), while the most productive journals included World Neurosurgery (254), Spine (185), and European Spine Journal (175). The top 100 most cited documents, published between 2001 and 2021 across 51 sources, comprised 80 original research articles and 20 reviews. These publications exhibited an average of 158.4 citations per document and a mean age of 12.4 years. Early publications (2001–2006) had high total citations but lower annual citation rates, whereas more recent studies (2017–2021) demonstrated increasing annual citation rates, peaking at 22 citations/year in 2020, reflecting growing research interest and impact in the field. Co-word analysis identified four dominant thematic clusters: (1) surgical precision and imaging-guided spinal interventions, (2) neurorehabilitation and functional recovery, (3) robotics in spinal oncology and radiotherapy, and (4) minimally invasive and perioperative safety-focused robotic procedures. Collectively, these themes demonstrate that high-impact research in robotic spinal surgery is driven by technological integration, enhanced surgical accuracy, and the pursuit of improved patient outcomes. Analysis of the top 25 papers reinforced the prominence of robotic guidance, comparative surgical studies, and rehabilitation-focused robotics. The findings clarify prevailing research directions and may assist in guiding the planning of future studies in this field.