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Global Visualization of Research Outburst Up-To 2nd Wave of Covid-19 On WoS Literature: A Scientometric Preview.

Authors :
Bhowmick, Anupam
Chakrabarty, Baishakhi
Source :
International Journal of Information Science & Management. Apr-Jun2023, Vol. 21 Issue 2, p141-156. 16p.
Publication Year :
2023

Abstract

Scientometric study on covid-19 has taken place to highlight the latest trend and situation of literature on covid-19. After the outbreak from Wuhan city, Coronavirus spread worldwide, destroying health, mobility, livelihood and socio-economic management. To make a qualitative and quantitative investigation this scientometric study is eventuated. Thousands of research outputs are increasing in this epidemic situation. During 18 months (2019 December-2021 May) WOS database indexed 1234 literature on covid-19 and related topics. Most of the publishers dropped their paywall and made it open access for more communication. A string was created with a time to exact all secondary bibliographic data. A .txt file has been downloaded from the WOS database for visualisation and mapping. Some statistical formulas are adequate to calculate the annual growth rate (AGR), author productivity, and collaborative coefficient (CC). WOS viewers, MS Excel, and QGIS software are also used for data representation. The outcome results are the direction of the literature growth map continuously upward. In the top 10 journals and authors, 'Medicine' and 'Wang J' ranked top. Author collaboration was maximum (0.997), but more collaboration was required. China, India and the USA contributed the most with relevant research output. Covid-19 is near all subject disciplines, where medical science, environmental science, engineering and social science are gathered. It is hoped that this type of research outcome will help the government and society manage and develop future strategies to prevent such natural disasters. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20088302
Volume :
21
Issue :
2
Database :
Academic Search Index
Journal :
International Journal of Information Science & Management
Publication Type :
Academic Journal
Accession number :
163476487
Full Text :
https://doi.org/10.22034/ijism.2023.1977573.0