ReviewJournal of robotic surgery2025
Analysis of 11 bibliometric publications in the Journal of Robotic Surgery: a few suggestions.
Review in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bibliometric research offers valuable insights into publication trends, citation dynamics, and research collaborations. The growing body of bibliometric literature reflects the dedication of numerous authors who have contributed significantly to our understanding of scientific progress. At the same time, the differences in methodology and scope can affect the depth and interpretation of findings. This review takes a closer look at bibliometric studies published in the Journal of Robotic Surgery, with an emphasis on appreciating the contributions of each work while also identifying opportunities for further enrichment in future analyses. Eleven bibliometric studies were examined to better understand the current approaches applied in this field. These works were reviewed across several dimensions, including publication volume, citation patterns, author productivity, institutional and national involvement, collaboration structures, and thematic development. The studies collectively provided a solid foundation by highlighting the basic indicators such as publication counts and total citations. While these contributions are valuable, the integration of more diverse impact metrics-such as the g-index or m-index-was less frequent. Temporal mapping of prolific authors, institutions, and countries was also limited, which may constrain the understanding of evolving research leadership over time. Some studies engaged in collaboration network analysis; however, there were relatively few attempts to explore the clustering patterns within these networks. Co-word analysis tended to focus on author keywords, with fewer efforts devoted to examining titles, abstracts, or thematic progression. Moreover, elements such as long-term trend analysis, regional disparities, and citation burst detection were not widely addressed. The efforts of researchers in this area are greatly appreciated and their work has laid an important groundwork for future bibliometric studies in robotic surgery. A thoughtful expansion of methodologies may deepen the impact of future research and further strengthen the value of bibliometric analysis in robotic surgery.
Indexed as
Identifiers
40418455What OpenQuestion holds
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.