Evidence map›Paper›PMID 40418455›Full record

ReviewJournal of robotic surgery2025

Analysis of 11 bibliometric publications in the Journal of Robotic Surgery: a few suggestions.

Siddig Ibrahim Abdelwahab, Manal Mohamed Elhassan Taha, Abdullah Farasani, Saleh M Abdullah, Jobran M Moshi, Nizar A Khamjan, Abrar Fahad Alshahrani, Ahmad Assiri, Saeed Alshahrani, Amal Mayudh Alhusayni and 3 more

Abstract readReview
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Siddig Ibrahim AbdelwahabMedical Research Center, Jazan University, Jazan, Kingdom of Saudi Arabia.
Manal Mohamed Elhassan TahaMedical Research Center, Jazan University, Jazan, Kingdom of Saudi Arabia.
Abdullah FarasaniDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
Saleh M AbdullahDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
Jobran M MoshiDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
Nizar A KhamjanDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
Abrar Fahad AlshahraniDepartment of Clinical Nutrition, Faculty of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.
Ahmad AssiriFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Saeed AlshahraniDepartment of Pharmacology and Toxicology, College of Pharmacy, Jazan, Saudi Arabia.
Amal Mayudh AlhusayniPharmaceutical Care Administration, Health Holding Company, Jeddah Second Health Cluster, Jeddah, Saudi Arabia.
Muhammad H SultanDepartment of Pharmaceutics, College of Pharmacy, Jazan University, 45142, Jazan, Saudi Arabia.
Ali ElaminDepartment of Public Health, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.
Waseem HassanInstitute of Chemical Sciences, University of Peshawar, Peshawar, 25120, Khyber Pakhtunkhwa, Pakistan. waseem_anw@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

BibliometricsPeriodicals as TopicRobotic Surgical ProceduresHumansAuthor productivityBibliometric analysisCo-word analysisResearch trendsRobotic surgeryThematic evolution

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.