Metaverse: A Bibliometric Analysis by Internet Crawler and Big Data Technology


Lim, Tek Yong and Luo, Zhiqiang (2023) Metaverse: A Bibliometric Analysis by Internet Crawler and Big Data Technology. In: 2023 IEEE 6th International Conference on Knowledge Innovation and Invention (ICKII), Sapporo, Japan, 11-13 August 2023.

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Digital platforms have been widely adopted during Covid19 pandemic, but individuals and organizations have encountered various challenges with these digital platforms. Metaverse is a new Internet evolution that addresses the challenges of supporting humans in seamlessly moving between digital spaces and the physical world. Many bibliometric studies have been published on Metaverse, but previous findings on this topic are inconsistent and contradictory. Therefore, we explored trends in Metaverse research through bibliometric analysis. An online search was conducted on 16 February 2023. A total of 706 journal documents were obtained from the Scopus database. The results revealed that China was the most productive country with three China productive institutions, two China productive authors, and four China funding sponsors. This bibliometric analysis results confirmed that the rate of Metaverse research has sharply increased. The top nine most cited documents were classified as secondary research. Taking a socio-technical design approach, the Metaverse research areas identified by these review articles can be grouped into four main levels of computing: mechanical, informational, psychological, and social. The limitations of this bibliometric study were also identified.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Metaverse, bibliometric, research trend
Subjects: Q Science > QA Mathematics > QA299.6-433 Analysis
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 23 Feb 2024 04:08
Last Modified: 23 Feb 2024 04:08


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