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Analysis of 11 bibliometric publications in the Journal of Robotic Surgery: a few suggestions
Siddig Ibrahim Abdelwahab1, Manal Mohamed Elhassan Taha1, Abdullah Farasani2
1Medical Research Center, Jazan University, Jazan, Kingdom of Saudi Arabia.
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.
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