A bibliometric analysis of Metaverse research using VOSviewer

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This research tracked the knowledge frameworks of the Metaverse academic field. To this end, we employed 'metaverse' as the keyword to gather articles from Web of Science and performed bibliometric analyses using VOSviewer. Concretely, we explored productive and highly-cited authors, institutes, countries/regions, and journals/conference proceedings. For a deeper understanding of the state of Metaverse research, we also reviewed highly-cited literature and performed keyword-occurrence analysis. Overall, this is one of the first studies providing a comprehensive understanding of knowledge structures in the context of Metaverse research.

Original languageEnglish
Title of host publicationProceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023
EditorsSukhan Lee, Hyunseung Choo, Roslan Ismail
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665453486
DOIs
StatePublished - 2023
Event17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023 - Seoul, Korea, Republic of
Duration: 3 Jan 20235 Jan 2023

Publication series

NameProceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023

Conference

Conference17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023
Country/TerritoryKorea, Republic of
CitySeoul
Period3/01/235/01/23

Keywords

  • Metaverse
  • VOSviewer
  • bibliometric approach
  • keywords-occurrence analysis

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