A1 Journal article (refereed)
Artificial intelligence centric scientific research on COVID-19 : an analysis based on scientometrics data (2023)

Shukla, A. K., Seth, T., & Muhuri, P. (2023). Artificial intelligence centric scientific research on COVID-19 : an analysis based on scientometrics data. Multimedia Tools and Applications, 82(21), 32755-32787. https://doi.org/10.1007/s11042-023-14642-4

JYU authors or editors

Publication details

All authors or editors: Shukla, Amit K.; Seth, Taniya; Muhuri, Pranab, K.

Journal or series: Multimedia Tools and Applications

ISSN: 1380-7501

eISSN: 1573-7721

Publication year: 2023

Publication date: 02/03/2023

Volume: 82

Issue number: 21

Pages range: 32755-32787

Publisher: Springer

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1007/s11042-023-14642-4

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/86443

Abstract

With the spread of the deadly coronavirus disease throughout the geographies of the globe, expertise from every field has been sought to fight the impact of the virus. The use of Artificial Intelligence (AI), especially, has been the center of attention due to its capability to produce trustworthy results in a reasonable time. As a result, AI centric based research on coronavirus (or COVID-19) has been receiving growing attention from different domains ranging from medicine, virology, and psychiatry etc. We present this comprehensive study that closely monitors the impact of the pandemic on global research activities related exclusively to AI. In this article, we produce highly informative insights pertaining to publications, such as the best articles, research areas, most productive and influential journals, authors, and institutions. Studies are made on top 50 most cited articles to identify the most influential AI subcategories. We also study the outcome of research from different geographic areas while identifying the research collaborations that have had an impact. This study also compares the outcome of research from the different countries around the globe and produces insights on the same.

Keywords: artificial intelligence; coronaviruses; COVID-19; science publishing; bibliometrics; scientometrics

Free keywords: artificial intelligence; bibliometric analysis; computer science research; coronavirus research; COVID-19; publications; research analysis

Contributing organizations

Ministry reporting: Yes

VIRTA submission year: 2023

JUFO rating: 1