Artificial Intelligence Technology and the Covid-۱۹ Crisis: A Scientometric Study
محل انتشار: فصلنامه مطالعات پردازش دانش، دوره: 2، شماره: 3
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 116
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شناسه ملی سند علمی:
JR_IJKPS-2-3_003
تاریخ نمایه سازی: 6 تیر 1402
چکیده مقاله:
This study aims to investigate the scientific production of artificial intelligence in the management and crisis of Covid ۱۹. It is of the scientometric type which has been done by co-occurrence analysis of words. The research population consists of ۲,۸۱۶ documents in the field of "artificial intelligence during the Covid-۱۹ pandemic" indexed in the Scopus database. VOSviewer software has been used to draw scientific maps. A total of ۲۸۱۶ documents in the field of artificial intelligence and corona pandemic have been indexed by researchers all over the world in the Scopus database, of which ۶۴.۵% were in the form of scientific research articles. ۱۸% of scientific products are related to medicine and ۱۶.۹% are related to computer science. The United States, China, and India are ranked first to third respectively. Iran is also ranked ۱۷th out of ۲۰ countries active in the field of artificial intelligence and Covid-۱۹ such as Taiwan, Malaysia, South Korea, and Macau. Active authors in this field are Chou k.c, Hassanien A.E, and Ivano. D. The highest production in this field belongs to the United States, China, and India, respectively. The United States and China, as prominent and successful examples of the use of artificial intelligence in the management of Covid-۱۹ disease, can be a model for other countries in overcoming this crisis.
کلیدواژه ها:
نویسندگان
Maryam Moghadami
Ph.D. candidate of Knowledge and Information Science-Knowledge Management, Tehran University, Tehran, Iran.
Aziz Hedayati khoshemehr
Assistant Professor, Department of Knowledge and Information Science, Faculty of Education and Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran.
hajar mohammadi
Master of Knowledge and Information Science, Tehran University, Tehran, Iran.
At&#۰۳۹hareh Naghdinejad
Ph.D. Student, Information science and Knowledge Studies, Information & Knowledge retrieval, Tehran University, Tehran, Iran.