A Bibliometric Analysis of Coronavirus Research in Gulf Cooperation Council Countries

Authors

  • Ali Mustafa Qamar Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia
  • Rehan Ullah Khan Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia
  • Suliman A. Alsuhibany Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia

DOI:

https://doi.org/10.3991/ijoe.v17i13.27367

Keywords:

COVID-19, coronavirus, bibliometric, Gulf Cooperation Council,

Abstract


COVID-19 was declared a pandemic by World Health Organization in March 2020. Since then, it has attracted the enormous attention of researchers from around the world. The world has gone through previous instances of corona-viruses such as Severe Acute Respiratory Syndrome and Middle Eastern Respiratory Syndrome. Nevertheless, none was of these were of this serious nature as COVID-19. In this research, we carry out a bibliometric analysis of coronavirus research using the Scopus database. However, we restricted ourselves to the Gulf Cooperation Council countries, comprising Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates. The analysis was performed using Biblioshiny software. We analyzed 4288 articles written by 24226 researchers from 1994 till 2021, published in 1429 sources. The number of authors per publication is 5.65. A bulk of the research (more than 68%) appeared in the form of articles. More than 43% of the publications appeared in 2020 and more than 44% in 2021. Saudi Arabia appears the most-cited country, followed by Qatar. Journal of Infection and Public Health published the most number of papers, whereas New England Journal of Medicine is the most-cited one. Memish, Z.A. wrote the maximum number of papers. The top source, according to the H-index, is the Journal of Virology. Furthermore, the two most prolific universities are King Saud University and King Abdulaziz University, both from Saudi Arabia. The research uncovered deep learning as a niche theme used in recent publications. The research landscape continues to alter as the pandemic keeps on evolving.
Cover iJOE Vol. 17 No. 13 (2021)

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Published

2021-12-06

How to Cite

Qamar, A. M., Khan, R. U., & Alsuhibany, S. A. (2021). A Bibliometric Analysis of Coronavirus Research in Gulf Cooperation Council Countries. International Journal of Online and Biomedical Engineering (iJOE), 17(13), pp. 99–119. https://doi.org/10.3991/ijoe.v17i13.27367

Issue

Vol. 17 No. 13 (2021)

Section

Papers

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Copyright (c) 2021 Ali Mustafa Qamar, Rehan Ullah Khan2, Suliman Alsuhibany

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