A bibliometric analysis of artificial intelligence during COVID-19 based on WOS data
Author
Source
Finance and Business Economies Review
Issue
Vol. 6, Issue 1 (30 Apr. 2022), pp.382-397, 16 p.
Publisher
Publication Date
2022-04-30
Country of Publication
Algeria
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This article opens up a new field of research in light of COVID-19 Artificial Intelligence, mainly explaining this binding domain's current trends and knowledge fields.
the bibliometric analysis was performed to present new research trends in artificial Intelligence in light of COVID-19.
the data of 1635 studies published in web of Science were analyzed during the last two years (2020-2021) using three software cite space, vosviewer, and knowledge matrix plus.
the findings suggest that there are twelve research clusters in this topic (emerging industry, cross-sectional survey study, emerging technologies, joint position paper, colony predation algorithm, medical worker, deep learning, COVID-19 risk prediction, future smart connected communities, supply chain resilience, virtual screening, and k-12 students).
the United States, people's republic of China, the United Kingdom, India, Saudi Arabia, Italy, Australia, Spain, South Korea, and Canada are the most intriguing countries that investigated this issue during COVID-19, so this study reveals the latest policy trends in Artificial intelligence using bibliometric analysis.
American Psychological Association (APA)
al-Ghamidi, Abd al-Majid. 2022. A bibliometric analysis of artificial intelligence during COVID-19 based on WOS data. Finance and Business Economies Review،Vol. 6, no. 1, pp.382-397.
https://search.emarefa.net/detail/BIM-1382887
Modern Language Association (MLA)
al-Ghamidi, Abd al-Majid. A bibliometric analysis of artificial intelligence during COVID-19 based on WOS data. Finance and Business Economies Review Vol. 6, no. 1 (Apr. 2022), pp.382-397.
https://search.emarefa.net/detail/BIM-1382887
American Medical Association (AMA)
al-Ghamidi, Abd al-Majid. A bibliometric analysis of artificial intelligence during COVID-19 based on WOS data. Finance and Business Economies Review. 2022. Vol. 6, no. 1, pp.382-397.
https://search.emarefa.net/detail/BIM-1382887
Data Type
Journal Articles
Language
English
Notes
Includes appendices: p. 397
Record ID
BIM-1382887