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

被引：16

作者：

Shaukat, Kamran ^{[1
]}

Alam, Talha Mahboob ^{[2
]}

Hameed, Ibrahim A. ^{[3
]}

Luo, Suhuai ^{[1
]}

Li, Jiaming ^{[4
]}

Aujla, Gagandeep Kaur ^{[1
]}

Iqbal, Farhat ^{[2
]}

机构：

[1] Univ Newcastle, Sch Elect Engn & Comp, Callaghan, NSW 2308, Australia

[2] Univ Engn & Technol, Dept Comp Sci, Lahore 54890, Pakistan

[3] Norwegian Univ Sci & Technol, Dept ICT & Nat Sci, N-7491 Trondheim, Norway

[4] Data61, Commonwealth Sci & Ind Res Org, Clayton, Vic 3169, Australia

来源：

DATA IN BRIEF | 2020年 / 33卷

关键词：

Coronavirus; COVID-19; SARS; Pandemic; Social sciences; SARS-CoV-2; DISEASE;

D O I：

10.1016/j.dib.2020.106520

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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. (C) 2020 The Author(s). Published by Elsevier Inc.

引用

页数：7

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