In recent years, the rapid development of technologies such as virtual reality, augmented reality, and mixed reality, along with the significant increase in publications related to the Metaverse, demonstrates a sustained growth in interest in this field. Some scholars have already performed bibliometric analyses of this emerging field. However, previous analyses have not been comprehensive due to limitations such as the volume of literature, particularly lacking in co-citation analysis, which is crucial for understanding the interconnectedness and impact of research works. In this study, we used the Web of Science as a database to search for topics related to the Metaverse from 1995 to 2023. Subsequently, we employed CiteSpace for co-citation network analysis to supplement previous research. Through our analysis at the journal, author, and literature levels, we identified core journals and key authors in the Metaverse field. We discovered that Extended Reality (XR), education, user privacy, and terminologies related to the Metaverse are significant research themes within the field. This study provides clear and actionable research directions for future papers in the Metaverse field.

1. Acquisti, A., Taylor, C., & Wagman, L. (2016). The Economics of Privacy. Journal of Economic Literature, 54(2), 442–492. https://doi.org/10.1257/jel.54.2.442
2. Al-Ghaili, A. M., Kasim, H., Al-Hada, N. M., et al. (2022). A Review of Metaverse’s Definitions, Architecture, Applications, Challenges, Issues, Solutions, and Future Trends. IEEE Access, 10, 125835–125866. https://doi.org/10.1109/access.2022.3225638
3. Buana, I. M. W. (2023). Metaverse: Threat or Opportunity for Our Social World? In understanding Metaverse on sociological context. Journal of Metaverse, 3(1), 28–33. https://doi.org/10.57019/jmv.1144470
4. Che, S., Kamphuis, P., Zhang, S., et al. (2022). A Visualization Analysis of Crisis and Risk Communication Research Using CiteSpace. International Journal of Environmental Research and Public Health, 19(5), 2923. https://doi.org/10.3390/ijerph19052923
5. Chen, C., Dubin, R., & Kim, M. C. (2014). Emerging trends and new developments in regenerative medicine: a scientometric update (2000 – 2014). Expert Opinion on Biological Therapy, 14(9), 1295–1317. https://doi.org/10.1517/14712598.2014.920813
6. Chen, X., & Liu, Y. (2020). Visualization analysis of high-speed railway research based on CiteSpace. Transport Policy, 85, 1–17. https://doi.org/10.1016/j.tranpol.2019.10.004
7. Chengoden, R., Victor, N., Huynh-The, T., et al. (2023). Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions. IEEE Access, 11, 12765–12795. https://doi.org/10.1109/access.2023.3241628
8. Damar, M. (2021). Metaverse shape of your life for future: A bibliometric snapshot. Journal of Metaverse, 1(1), 1-8.
9. Duan, H., Li, J., Fan, S., et al. (2021). Metaverse for Social Good. In: Proceedings of the 29th ACM International Conference on Multimedia. https://doi.org/10.1145/3474085.3479238
10. Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., et al. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102542. https://doi.org/10.1016/j.ijinfomgt.2022.102542
11. Falchuk, B., Loeb, S., & Neff, R. (2018). The Social Metaverse: Battle for Privacy. IEEE Technology and Society Magazine, 37(2), 52–61. https://doi.org/10.1109/mts.2018.2826060
12. George, A. H., Fernando, M., George, A. S., et al. (2021). Metaverse: The next stage of human culture and the internet. International Journal of Advanced Research Trends in Engineering and Technology (IJARTET), 8(12), 1-10.
13. Gmür, M. (2003). Co-citation analysis and the search for invisible colleges: A methodological evaluation. Scientometrics, 57(1), 27-57. https://doi.org/10.1023/a:1023619503005
14. Graesser, A., Karnavat, A., Pomeroy, V., & Wiemer-Hastings, K. (2000). Latent Semantic Analysis captures casual, goal-oriented, and taxonomic structures. In: Proceedings of the annual meeting of the cognitive science society.
15. Hamilton, S. (2022). Deep Learning Computer Vision Algorithms, Customer Engagement Tools, and Virtual Marketplace Dynamics Data in the Metaverse Economy. Journal of Self-Governance and Management Economics, 10(2), 37-51. https://doi.org/10.22381/jsme10220223
16. Han, H.-C. S. (2020). From visual culture in the immersive metaverse to visual cognition in education. In: Cognitive and affective perspectives on immersive technology in education. IGI Global; pp. 67-84. https://doi.org/10.4018/978-1-7998-3250-8.ch004
17. Higgins, L. (2022). The role of Roblox in the metaverse. Available online: https://www.internetmatters.org/hub/news-blogs/the-role-of-roblox-in-the-metaverse/ (accessed on 3 May 2024).
18. Huang, H., Zhang, Q., Li, T., et al. (2022). Economic Systems in Metaverse: Basics, State of the Art, and Challenges. Available online: https://arxiv.org/abs/2212.05803 (accessed on 3 May 2024).
19. Kim, J.-G. (2021). A study on metaverse culture contents matching platform. International Journal of Advanced Culture Technology (IJACT), 9(3), 232-237. https://doi.org/10.17703/IJACT.2021.9.3.232
20. Kshetri, N. (2022). Metaverse and Developing Economies. IT Professional, 24(4), 66–69. https://doi.org/10.1109/mitp.2022.3174744
21. Kye, B., Han, N., Kim, E., et al. (2021). Educational applications of metaverse: possibilities and limitations. Journal of Educational Evaluation for Health Professions, 18, 32. https://doi.org/10.3352/jeehp.2021.18.32
22. Lee, L.-H., Braud, T., Zhou, P., et al. (2021). All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda. Available online: https://arxiv.org/abs/2110.05352 (accessed on 3 May 2024).
23. Li, K., Rollins, J., & Yan, E. (2017). Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis. Scientometrics, 115(1), 1–20. https://doi.org/10.1007/s11192-017-2622-5
24. Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486–497. https://doi.org/10.3390/encyclopedia2010031
25. Nan, D., Sun, S., Gopi, S., et al. (2023). A bibliometric analysis of Metaverse research using VOSviewer. In: Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM), 2, 1–4. https://doi.org/10.1109/imcom56909.2023.10035584
26. Nevelsteen, K. J. L. (2017). Virtual world, defined from a technological perspective and applied to video games, mixed reality, and the Metaverse. Computer Animation and Virtual Worlds, 29(1). Portico. https://doi.org/10.1002/cav.1752
27. Ning, H., Wang, H., Lin, Y., Wang, W., Dhelim, S., Farha, F., Ding, J., & Daneshmand, M. (2023). A Survey on the Metaverse: The State-of-the-Art, Technologies, Applications, and Challenges. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2023.3278329
28. Oh, H. J., Kim, J., Chang, J. J. C., et al. (2023). Social benefits of living in the metaverse: The relationships among social presence, supportive interaction, social self-efficacy, and feelings of loneliness. Computers in Human Behavior, 139, 107498. https://doi.org/10.1016/j.chb.2022.107498
29. Park, S.-M., & Kim, Y.-G. (2022). A Metaverse: Taxonomy, Components, Applications, and Open Challenges. IEEE Access, 10, 4209–4251. https://doi.org/10.1109/access.2021.3140175
30. Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World. Publications, 9(1), 12. https://doi.org/10.3390/publications9010012
31. Rauschnabel, P. A., Felix, R., Hinsch, C., et al. (2022). What is XR? Towards a Framework for Augmented and Virtual Reality. Computers in Human Behavior, 133, 107289. https://doi.org/10.1016/j.chb.2022.107289
32. Samantha Murphy Kelly, C. B. (2021). Facebook Changes It's Company Name to Meta. Available online: https://edition.cnn.com/2021/10/28/tech/facebook-mark-zuckerberg-keynote-announcements/index.html (accessed on 3 May 2024).
33. Shen, J., Zhou, X., Wu, W., et al. (2023). Worldwide Overview and Country Differences in Metaverse Research: A Bibliometric Analysis. Sustainability, 15(4), 3541. https://doi.org/10.3390/su15043541
34. Shen, S. (2022). Metaverse-driven new energy of Chinese traditional culture education: edge computing method. Evolutionary Intelligence, 16(5), 1503–1511. https://doi.org/10.1007/s12065-022-00757-4
35. Stephenson, N. (1994). Snow crash. Penguin UK.
36. Sun, S., Nan, D., Che, S., et al. (2024). Investigating the knowledge structure of research on massively multiplayer online role-playing games: A bibliometric analysis. Data and Information Management, 8(1), 100024. https://doi.org/10.1016/j.dim.2022.100024
37. Tlili, A., Huang, R., Shehata, B., et al. (2022). Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis. Smart Learning Environments, 9(1). https://doi.org/10.1186/s40561-022-00205-x
38. Valis, D., & Koucky, M. (2009). Selected overview of risk assessment techniques. Problemy eksploatacji, (4), 19-32.
39. Vidal-Tomás, D. (2023). The illusion of the metaverse and meta-economy. International Review of Financial Analysis, 86, 102560. https://doi.org/10.1016/j.irfa.2023.102560
40. Wang, X., Zhang, Y., Zhang, J., et al. (2021). Progress in urban metabolism research and hotspot analysis based on CiteSpace analysis. Journal of Cleaner Production, 281, 125224. https://doi.org/10.1016/j.jclepro.2020.125224
41. Xi, N., Chen, J., Gama, F., et al. (2022). The challenges of entering the metaverse: An experiment on the effect of extended reality on workload. Information Systems Frontiers. https://doi.org/10.1007/s10796-022-10244-x
42. Yang, J., Wang, X., & Zhao, Y. (2022). Parallel Manufacturing for Industrial Metaverses: A New Paradigm in Smart Manufacturing. IEEE/CAA Journal of Automatica Sinica, 9(12), 2063–2070. https://doi.org/10.1109/jas.2022.106097
43. Zhang, S., Che, S., Nan, D., et al. (2022). MOOCs as a Research Agenda: Changes Over Time. The International Review of Research in Open and Distributed Learning, 23(4), 193–210. https://doi.org/10.19173/irrodl.v23i4.6361
44. Zhao, C., Dai, X., Lv, Y., et al. (2023). Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(4), 2062–2072. https://doi.org/10.1109/tsmc.2022.3228914
45. Zhao, X., Nan, D., Chen, C., et al. (2023). Bibliometric study on environmental, social, and governance research using CiteSpace. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.1087493