Bibliometric Analysis of COVID-19 Research in Information Systems: A Proposed Model
A new coronavirus, eventually identified as COVID-19, triggered an outbreak in Wuhan, China, at the end of 2019. It has since spread around the world. This has also resulted in an increase in the number of publications pertaining to COVID-19. However, not much research has examined COVID-19 in infor...
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Online Access: | http://ir.unimas.my/id/eprint/36951/1/Syahrul%20nizam%20junaini.pdf http://ir.unimas.my/id/eprint/36951/ https://sites.google.com/view/scored2021/ |
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my.unimas.ir.369512022-02-25T07:43:42Z http://ir.unimas.my/id/eprint/36951/ Bibliometric Analysis of COVID-19 Research in Information Systems: A Proposed Model Shirley Sylvia, Sulai Syahrul Nizam, Junaini QA75 Electronic computers. Computer science QA76 Computer software A new coronavirus, eventually identified as COVID-19, triggered an outbreak in Wuhan, China, at the end of 2019. It has since spread around the world. This has also resulted in an increase in the number of publications pertaining to COVID-19. However, not much research has examined COVID-19 in information systems using bibliometrics. The purpose of this work is to develop a model for visualising COVID-19 research in information systems using bibliometric data. We did a brief survey of the literature in this study, followed by an analysis of related work. We anticipate that our proposed model will aid future researchers who wish to undertake bibliometric visualisations utilising it. 2021-11-23 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/36951/1/Syahrul%20nizam%20junaini.pdf Shirley Sylvia, Sulai and Syahrul Nizam, Junaini (2021) Bibliometric Analysis of COVID-19 Research in Information Systems: A Proposed Model. In: 19th IEEE Student Conference on Research and Development (SCOReD), 23-25 Nov 2021, Kota Kinabalu. https://sites.google.com/view/scored2021/ |
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QA75 Electronic computers. Computer science QA76 Computer software Shirley Sylvia, Sulai Syahrul Nizam, Junaini Bibliometric Analysis of COVID-19 Research in Information Systems: A Proposed Model |
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A new coronavirus, eventually identified as COVID-19, triggered an outbreak in Wuhan, China, at the end of 2019. It has since spread around the world. This has also resulted in an increase in the number of publications pertaining to COVID-19. However, not much research has examined COVID-19 in information systems using bibliometrics. The purpose of this work is to develop a model for visualising COVID-19 research in information systems using bibliometric data. We did a brief survey of the literature in this study, followed by an analysis of related work. We anticipate that our proposed model will aid future researchers who wish to undertake bibliometric visualisations utilising it. |
format |
Proceeding |
author |
Shirley Sylvia, Sulai Syahrul Nizam, Junaini |
author_facet |
Shirley Sylvia, Sulai Syahrul Nizam, Junaini |
author_sort |
Shirley Sylvia, Sulai |
title |
Bibliometric Analysis of COVID-19 Research in Information Systems: A Proposed Model |
title_short |
Bibliometric Analysis of COVID-19 Research in Information Systems: A Proposed Model |
title_full |
Bibliometric Analysis of COVID-19 Research in Information Systems: A Proposed Model |
title_fullStr |
Bibliometric Analysis of COVID-19 Research in Information Systems: A Proposed Model |
title_full_unstemmed |
Bibliometric Analysis of COVID-19 Research in Information Systems: A Proposed Model |
title_sort |
bibliometric analysis of covid-19 research in information systems: a proposed model |
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2021 |
url |
http://ir.unimas.my/id/eprint/36951/1/Syahrul%20nizam%20junaini.pdf http://ir.unimas.my/id/eprint/36951/ https://sites.google.com/view/scored2021/ |
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13.18916 |