Mapping covid-19 and transportation: a taxonomical study using bibliometric visualisation
Global Knowledge, Memory and Communication
ISSN: 2514-9342
Article publication date: 14 November 2023
Abstract
Purpose
The purpose of this study is to evaluate the progress and scholarly contributions concerning the effects of COVID-19 on transportation.
Design/methodology/approach
Using the SCOPUS database, an analysis was conducted on the output of 733 studies concerning COVID-19 and transportation from 2020 to 2022. Bibliometric visualization techniques were performed, which included funding sponsors, top-cited documents, top journals, top countries, co-authorship of authors, co-citation of authors and keyword analysis.
Findings
This study presents diverse findings encompassing influential authors, predominant countries, prominent journals, pivotal papers, funding institutions and affiliations engaged in COVID-19 and transportation research. The research offers a comprehensive assessment of the field’s advancement, addressing existing gaps within the context of limited pertinent literature.
Practical implications
These practical implications highlight how the taxonomical study using bibliometric visualization can inform various aspects of research, policy, practice and decision-making related to COVID-19 and transportation.
Originality/value
The study uses bibliometric visualization techniques to provide a comprehensive overview of existing literature and research trends in COVID-19 and transportation. Its taxonomical approach categorizes the literature systematically, enhancing its originality. The comprehensive analysis contributes to understanding the research landscape, while visualization uncovers new insights. Overall, the study’s unique focus, visualization techniques, taxonomical approach and comprehensive analysis offer originality and potential for new insights in this field.
Keywords
Acknowledgements
The authors would like to thank the editor and reviewers for their feedback. The authors would like also to thank Editage for their extensive support in editing this paper.
Conflict of interest: The authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership or other equity interest; and expert testimony or patent-licensing arrangements) or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.
Funding: This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.
Citation
Nobanee, H., Alodat, A.Y. and Chakraborty, D. (2023), "Mapping covid-19 and transportation: a taxonomical study using bibliometric visualisation", Global Knowledge, Memory and Communication, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/GKMC-06-2023-0187
Publisher
:Emerald Publishing Limited
Copyright © 2023, Emerald Publishing Limited