A Bibliometric Analysis of Artificial Intelligence During COVID-19 Based on WOS Data
| المصدر: | مجلة اقتصاديات المال والأعمال |
|---|---|
| الناشر: | المركز الجامعي عبدالحفيظ بوالصوف ميلة - معهد العلوم الاقتصادية والتجارية وعلوم التسيير |
| المؤلف الرئيسي: | Algamdi, Abdelmageed (Author) |
| المجلد/العدد: | مج6, ع1 |
| محكمة: | نعم |
| الدولة: |
الجزائر |
| التاريخ الميلادي: |
2022
|
| الشهر: | أفريل |
| الصفحات: | 382 - 397 |
| DOI: |
10.37170/1986-006-001-022 |
| ISSN: |
2543-3784 |
| رقم MD: | 1274030 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Bibliometric Review | Artificial Intelligence | COVID-19 | Machine Learning | WOS Data
|
| رابط المحتوى: |
عدد مرات التحميل
17
| LEADER | 02336nam a22002297a 4500 | ||
|---|---|---|---|
| 001 | 2028646 | ||
| 024 | |3 10.37170/1986-006-001-022 | ||
| 041 | |a eng | ||
| 044 | |b الجزائر | ||
| 100 | |9 610502 |a Algamdi, Abdelmageed |e Author | ||
| 245 | |a A Bibliometric Analysis of Artificial Intelligence During COVID-19 Based on WOS Data | ||
| 260 | |b المركز الجامعي عبدالحفيظ بوالصوف ميلة - معهد العلوم الاقتصادية والتجارية وعلوم التسيير |c 2022 |g أفريل | ||
| 300 | |a 382 - 397 | ||
| 336 | |a بحوث ومقالات |b Article | ||
| 520 | |b 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, VOS viewer, 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. | ||
| 653 | |a التحليل الببليومتري |a الذكاء الاصطناعي |a فيروس كورونا "كوفيد-19" | ||
| 692 | |b Bibliometric Review |b Artificial Intelligence |b COVID-19 |b Machine Learning |b WOS Data | ||
| 773 | |4 الاقتصاد |4 إدارة الأعمال |6 Economics |6 Business |c 022 |e Finance and Business Economies Review |f Mağallaẗ iqtiṣādiyat al-māl wa al-aՙmāl |l 001 |m مج6, ع1 |o 1986 |s مجلة اقتصاديات المال والأعمال |v 006 |x 2543-3784 | ||
| 856 | |u 1986-006-001-022.pdf | ||
| 930 | |d y |p y |q n | ||
| 995 | |a EcoLink | ||
| 999 | |c 1274030 |d 1274030 | ||
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A Bibliometric Analysis of Artificial Intelligence Applications during COVID-19 Based on Web of Science (Wos) Database
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