A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure
Corona pandemic has affected the whole world, and it is a highly researched area in biological sciences. As the current pandemic has affected countries socially and economically, the purpose of this bibliometric analysis is to provide a holistic review of the corona pandemic in the field of social s...
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Language: | English |
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IEEE
2020-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9139195/ |
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author | Adeel Nasir Kamran Shaukat Ibrahim A. Hameed Suhuai Luo Talha Mahboob Alam Farhat Iqbal |
author_facet | Adeel Nasir Kamran Shaukat Ibrahim A. Hameed Suhuai Luo Talha Mahboob Alam Farhat Iqbal |
author_sort | Adeel Nasir |
collection | DOAJ |
description | Corona pandemic has affected the whole world, and it is a highly researched area in biological sciences. As the current pandemic has affected countries socially and economically, the purpose of this bibliometric analysis is to provide a holistic review of the corona pandemic in the field of social sciences. This study aims to highlight significant, influential aspects, research streams, and themes. We have reviewed 395 journal articles related to coronavirus in the field of social sciences from 2003 to 2020. We have deployed `biblioshiny' a web-interface of the `bibliometrix 3.0' package of R-studio to conduct bibliometric analysis and visualization. In the field of social sciences, we have reported influential aspects of coronavirus literature. We have found that the `Morbidity and Mortality Weekly Report' is the top journal. The core article of coronavirus literature is `Guidelines for preventing health-care-associated pneumonia'. The most commonly used word, in titles, abstracts, author's keywords, and keywords plus, is `SARS'. Top affiliation is `The University of Hong Kong'. Hong Kong is a leading country based on citations, and the USA is on top based on total publications. We have used a conceptual framework to identify potential research streams and themes in coronavirus literature. Four research streams are found by deploying a co-occurrence network. These research streams are `Social and economic effects of epidemic disease', `Infectious disease calamities and control`, `Outbreak of COVID 19,' and `Infectious diseases and the role of international organizations'. Finally, a thematic map is used to provide a holistic understanding by dividing significant themes into basic or transversal, emerging or declining, motor, highly developed, but isolated themes. These themes and subthemes have proposed future directions and critical areas of research. |
first_indexed | 2024-12-19T02:21:11Z |
format | Article |
id | doaj.art-7a977c5195c544888b4406c57d648171 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-19T02:21:11Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-7a977c5195c544888b4406c57d6481712022-12-21T20:40:12ZengIEEEIEEE Access2169-35362020-01-01813337713340210.1109/ACCESS.2020.30087339139195A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual StructureAdeel Nasir0https://orcid.org/0000-0002-4065-3159Kamran Shaukat1https://orcid.org/0000-0001-7412-6106Ibrahim A. Hameed2https://orcid.org/0000-0003-1252-260XSuhuai Luo3https://orcid.org/0000-0002-6185-6035Talha Mahboob Alam4https://orcid.org/0000-0001-7228-0046Farhat Iqbal5https://orcid.org/0000-0002-0546-6999Department of Management Sciences, Lahore College for Women University, Lahore, PakistanSchool of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW, AustraliaDepartment of ICT and Natural Sciences, Norwegian University of Science and Technology, Trondheim, NorwaySchool of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW, AustraliaDepartment of Computer Science, University of Engineering and Technology, Lahore, PakistanPunjab University College of Information Technology, University of the Punjab, Lahore, PakistanCorona pandemic has affected the whole world, and it is a highly researched area in biological sciences. As the current pandemic has affected countries socially and economically, the purpose of this bibliometric analysis is to provide a holistic review of the corona pandemic in the field of social sciences. This study aims to highlight significant, influential aspects, research streams, and themes. We have reviewed 395 journal articles related to coronavirus in the field of social sciences from 2003 to 2020. We have deployed `biblioshiny' a web-interface of the `bibliometrix 3.0' package of R-studio to conduct bibliometric analysis and visualization. In the field of social sciences, we have reported influential aspects of coronavirus literature. We have found that the `Morbidity and Mortality Weekly Report' is the top journal. The core article of coronavirus literature is `Guidelines for preventing health-care-associated pneumonia'. The most commonly used word, in titles, abstracts, author's keywords, and keywords plus, is `SARS'. Top affiliation is `The University of Hong Kong'. Hong Kong is a leading country based on citations, and the USA is on top based on total publications. We have used a conceptual framework to identify potential research streams and themes in coronavirus literature. Four research streams are found by deploying a co-occurrence network. These research streams are `Social and economic effects of epidemic disease', `Infectious disease calamities and control`, `Outbreak of COVID 19,' and `Infectious diseases and the role of international organizations'. Finally, a thematic map is used to provide a holistic understanding by dividing significant themes into basic or transversal, emerging or declining, motor, highly developed, but isolated themes. These themes and subthemes have proposed future directions and critical areas of research.https://ieeexplore.ieee.org/document/9139195/Bibliometric analysisbiblioshinyconceptual structureCOVID surveycoronavirusCOVID-19 |
spellingShingle | Adeel Nasir Kamran Shaukat Ibrahim A. Hameed Suhuai Luo Talha Mahboob Alam Farhat Iqbal A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure IEEE Access Bibliometric analysis biblioshiny conceptual structure COVID survey coronavirus COVID-19 |
title | A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure |
title_full | A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure |
title_fullStr | A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure |
title_full_unstemmed | A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure |
title_short | A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure |
title_sort | bibliometric analysis of corona pandemic in social sciences a review of influential aspects and conceptual structure |
topic | Bibliometric analysis biblioshiny conceptual structure COVID survey coronavirus COVID-19 |
url | https://ieeexplore.ieee.org/document/9139195/ |
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