A Bibliometric Network Analysis of Collaboration in Covid-19 Handling

DOI

10.2991/978-2-494069-07-7_5How to use a DOI?

Keywords

bibliometric analysis; collaboration; Covid-19 handling; VOSviewer

Abstract

This study aims to determine the dynamics of research trends on collaboration in COVID-19 handling based on co-authorship of country, co-occurrence of author keywords, and citations of authors, sources, and countries. Accordingly, bibliometrics is used as an instrument to reveal the emphasis and tendencies of scientific discourse as outlined in the articles contained in the Scopus database. Together with bibliometrics; VOSviewer 1.6.16 is used to visualize a network based on articles published with certain keywords. This study is not to look at the implementation of policies and actions taken by each country but to see the development of research topics related to collaboration in handling Covid-19 using bibliometric data. This study shows that there are 154 relevant publications related to collaboration in handling Covid-19 dated from 2020 to February 20, 2022. The United States is the country having the most productive and the most collaborative country that published articles related to collaboration in COVID-19 handling. The term Covid-19 is the node that appears the most in the title, keyword, and abstract; it emerges 91 times out of 508 keywords while the term collaboration itself is still rarely seen from the appearance of keywords, only represented by 7 occurrences. However, judged from the overlay of these nodes, they are widely discussed in the 2020s. Judged from the citation, Nguyen d. became the most cited author with the number of 284 citations. Journal of Medical Virology became the most cited journal related to the collaboration on COVID-19 handling, while The United States became the country that the most cited articles. The limitation of this study is only using one database namely Scopus.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mutia Rahmah
AU  - Muchlis Hamdi
PY  - 2022
DA  - 2022/11/15
TI  - A Bibliometric Network Analysis of Collaboration in Covid-19 Handling
BT  - Proceedings of the International Conference on Communication, Policy and Social Science (InCCluSi 2022)
PB  - Atlantis Press
SP  - 33
EP  - 44
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-07-7_5
DO  - 10.2991/978-2-494069-07-7_5
ID  - Rahmah2022
ER  -