A bibliometric analysis of Metaverse research using VOSviewer

Nan, Dongyan; Sun, Seungjong; Gopi, Shreya; Lee, Kwan Min; Kim, Jang Hyun

doi:10.1109/imcom56909.2023.10035584

Cited by 7 publications

(2 citation statements)

References 19 publications

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“…It was a retrospective bibliometric analysis of previously published articles. authors, countries/regions and organizations based on coauthorship data, as well as keyword visualization maps based on co-occurrences can be constructed using this software (29,30). Different nodes in the visualization map indicate different specific terms, such as keywords, authors, organizations, and countries/ regions.…”

Section: Data Source and Search Strategymentioning

confidence: 99%

Global research hotspots and trends on robotic surgery in obstetrics and gynecology: a bibliometric analysis based on VOSviewer

Xiao,

Li,

et al. 2024

Front. Surg.

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ObjectiveOver the last two decades, the quantity of papers published in relation to robotic surgery in obstetrics and gynecology has continued to grow globally. However, no bibliometric analysis based on VOSviewer has been performed to evaluate the past and present of global research in the field. In this study, we aimed to analyze the bibliometric characteristics of papers on robotic surgery in obstetrics and gynecology to reveal research hotspots and trends in this field.MethodsThe Web of Science Core Collection was searched for scientific papers on robotic surgery in obstetrics and gynecology published between January 1, 1998 and December 31, 2023. Bibliometric metadata of each selected paper was extracted for analysis. The results were visualized by VOSviewer (version 1.6.18).ResultsA total of 1,430 papers met the inclusion criteria. The United States had the highest total link strengths and contributed the most papers (n = 793). The Mayo Clinic produced the largest number of papers (n = 85), and Professor Pedro T Ramirez contributed the most papers (n = 36). The number of citations ranged from 0 to 295 with a total sum of 29,103. The Journal of Minimally Invasive Gynecology published the most relevant papers (n = 252). Keywords were classified into six clusters based on co-occurrence data, of which cluster 1, cluster 4 and cluster 6 had more main keywords with the largest average publication year.ConclusionsThis is the first VOSviewer-based bibliometric analysis of robotic surgery research in obstetrics and gynecology. The United States was the leading country, and the Journal of Minimally Invasive Gynecology was the most productive journal in the field. Scientists and institutions from around the world should push their boundaries to bring about deep collaboration. The main research topic has always been the use of robotic surgery in the treatment of gynecologic malignancies. More randomized controlled trials need to be conducted to compare surgical outcomes of robotic surgery with other surgical approaches. Robotic sacrocolpopexy for pelvic organ prolapse has become a new research hotspot, and robotic surgery for sentinel lymph node detection in gynecologic malignancies are more potential directions for future research.

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Section: Data Source and Search Strategymentioning

confidence: 99%

Global research hotspots and trends on robotic surgery in obstetrics and gynecology: a bibliometric analysis based on VOSviewer

Xiao,

Li,

et al. 2024

Front. Surg.

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“…Existing systematic review studies on the metaverse have provided valuable insights for researchers, but a bibliometric examination of the field is needed to generate additional insights about the impact of researchers and publications [49][50][51][52][53][54][55][56]. In this context, the authors of this article have utilized a bibliometric network analysis and topic modeling to explore the overall structure of the metaverse knowledge domain and the connection between metaverse-related works.…”

Section: Introductionmentioning

confidence: 99%

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques

Rejeb

Treiblmaier

2023

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The metaverse represents an immersive digital environment that has garnered significant attention as a result of its potential to revolutionize various industry sectors and its profound societal impact. While academic interest in the metaverse has surged, a dearth of comprehensive review articles employing bibliometric techniques remains. This study seeks to address this gap by analyzing 595 metaverse-related journal articles using bibliometric and topic modeling techniques, marking the first of its kind to investigate the bibliometric profile of metaverse research. The findings reveal exponential growth in metaverse research since 2020, identifying major trends, prolific authors, and the most active journals in the field. A keyword co-occurrence analysis further uncovers four significant clusters of metaverse-related interests, highlighting its unique facets and underscoring its far-reaching implications across various sectors, including education, healthcare, retail, and tourism. This study emphasizes the need for more research and collaboration in advancing the metaverse field and presents 27 research questions for future investigation. This comprehensive analysis serves as a foundation for understanding the current state of metaverse research and its potential trajectory.

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Customer Service Ethics in the Metaverse: A Value-Sensitive Design Science Approach

Sonntag,

Schuir,

Mehmann

et al. 2023

International Journal of Human–Computer Interaction

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A bibliometric analysis of Metaverse research using VOSviewer

Cited by 7 publications

References 19 publications

Global research hotspots and trends on robotic surgery in obstetrics and gynecology: a bibliometric analysis based on VOSviewer

Global research hotspots and trends on robotic surgery in obstetrics and gynecology: a bibliometric analysis based on VOSviewer

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques

Customer Service Ethics in the Metaverse: A Value-Sensitive Design Science Approach

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