A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences

Kamran Shaukat; Talha Mahboob Alam; Ibrahim A. Hameed; Suhuai Luo; Jiaming Li; Gagandeep Kaur Aujla; Farhat Iqbal

Data in Brief (Dec 2020)

A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences

Kamran Shaukat,
Talha Mahboob Alam,
Ibrahim A. Hameed,
Suhuai Luo,
Jiaming Li,
Gagandeep Kaur Aujla,
Farhat Iqbal

Affiliations

Kamran Shaukat: School of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW 2308, Australia
Talha Mahboob Alam: Department of Computer Science, University of Engineering and Technology, Lahore 54890, Pakistan
Ibrahim A. Hameed: Department of ICT and Natural Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway; Corresponding author.
Suhuai Luo: School of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW 2308, Australia
Jiaming Li: Data61, Commonwealth Scientific and Industrial Research Organization, Clayton South, VIC 3169, Australia
Gagandeep Kaur Aujla: School of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW 2308, Australia
Farhat Iqbal: Department of Computer Science, University of Engineering and Technology, Lahore 54890, Pakistan

Journal volume & issue: Vol. 33
p. 106520

Abstract

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The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published articles discussing the effect of COVID and SARS on the social sciences from 2003 to 2020. This dataset collection and analysis highlight the significance and influential aspects, research streams, and themes in this domain. The analysis provides top journals, highly cited articles, mostly used keywords, top affiliation institutes, leading countries based on the citation, potential research streams, a thematic map, and future directions in this area of research. In the future, this dataset will be helpful for every researcher and policymakers to proceed as a starting point to identify the relevant research based on the analysis of 18 years of research in this domain.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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Abstract

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