مجلة اقتصاد المال و الأعمال
Volume 6, Numéro 1, Pages 382-397
2022-04-15

A Bibliometric Analysis Of Artificial Intelligence During Covid-19 Based On Wos Data



Authors : Algamdi Abdelmageed .

Abstract

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 CiteSpace, VOSviewer, and KnowledgeMatrix 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.

Keywords

Bibliometric review; Artificial Intelligence; COVID-19; Machine learning, WoS Data

Les articles similaires

Bibliometric Review Of Organizational Conflict Management Based On Scopus Data Base (52 Years Of Research)

Boutamine Mouna .  Benlaharche Sarah . 
pages 151-171.

The Use Of The Artificial Intelligence Techniques In Evaluating The Credit Risk In The Commercial Banks –the Artificial Neural Networks Model-

Omari Aicha .  Baba Ahmed Abdelmadjid . 
pages 164-185.

قياس وتقييم كفاءة شركات التأمين الجزائرية بإستخدام أسلوب التحليل التطويققياس وتقييم كفاءة شركات التأمين الجزائرية بإستخدام أسلوب التحليل التطويقي للبيانات Dea (data Envelopment Analysis).ي للبيانات Dea (data Envelopment Analysis).

ابراهيم مزيود .  محي الدين حمداني . 
ص 207-219.

Contribution Of Emerging Technologies (artificial Intelligence, Big Data) In The Development Of Intelligent Public Transportation Systems - A Case Study Of Yassir Company In Algeria-

Mouffok Sihem . 
pages 453-473.

"exploring The Role Of Artificial Intelligence And Big Data In The Human Resource Management Process: An Overview Of Benefits, Risks, And Ethical Implications

Saddar Noureddine . 
pages 12-27.

Formats de citation