Mapping covid-19 and transportation: a taxonomical study using bibliometric visualisation

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Global Knowledge Memory and Communication Pub Date : 2023-11-14 DOI:10.1108/gkmc-06-2023-0187
Haitham Nobanee, Ahmad Yuosef Alodat, Dipanwita Chakraborty
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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.
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绘制covid-19和交通:使用文献计量可视化的分类学研究
本研究的目的是评估新冠肺炎对交通影响的研究进展和学术贡献。设计/方法/方法利用SCOPUS数据库,对2020年至2022年733项关于COVID-19和交通运输的研究成果进行了分析。采用文献计量可视化技术,包括资助方、最常被引文献、最常被引期刊、最常被引国家、作者合著情况、作者共被引情况和关键词分析。本研究提供了多种研究结果,包括参与COVID-19和交通研究的有影响力的作者、主要国家、知名期刊、关键论文、资助机构和附属机构。该研究对该领域的进展进行了全面评估,在有限的相关文献的背景下解决了现有的差距。这些实际意义突出了使用文献计量可视化的分类学研究如何为与COVID-19和交通相关的研究、政策、实践和决策的各个方面提供信息。独创性/价值本研究使用文献计量可视化技术,全面概述了COVID-19和交通运输的现有文献和研究趋势。它的分类学方法对文献进行了系统的分类,增强了其独创性。全面的分析有助于理解研究景观,而可视化揭示了新的见解。总体而言,该研究的独特焦点、可视化技术、分类方法和综合分析为该领域的新见解提供了原创性和潜力。
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来源期刊
Global Knowledge Memory and Communication
Global Knowledge Memory and Communication INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.20
自引率
16.70%
发文量
77
期刊最新文献
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