LAPSE:2023.20410
Published Article

LAPSE:2023.20410
Employing Bibliometric Analysis to Identify the Current State of the Art and Future Prospects of Electric Vehicles
March 17, 2023
Abstract
Electric vehicles (EVs) are rapidly becoming a sustainable and viable mode of future transportation due to their multitude of advantages, such as reduced CO2 emissions, local air pollutants, and vehicular noise. This study aims to identify and analyze the scientific literature using bibliometric analysis to determine the main topics of authors, their sources, and the most-cited articles, countries, journals, and institutes in the literature on EVs. This bibliometric analysis included scientific work that was published from 2011 to 2022 to provide a thorough analysis of EVs, which will assist researchers and policymakers in understanding the most current global EV advancements. This analysis extracted all bibliometric information about EVs from the Scopus database, collecting 17,150 articles published between 2011 and 2022. The data were sorted for analysis by publication year, document type, author, institute, country, cited author, keyword, and keyword co-occurrence of the EVs. The VOSviewer software was employed to examine the sorted data due to its excellent analysis and visualization capabilities. We used VOSviewer to graphically represent the density, co-occurrence, trends, and linkage of the aforementioned data comprehensibly. The publishing patterns of EVs indicate that the research field is evolving, with a yearly increase in the number of publications. The analysis showed that China, the United States, and the United Kingdom are leading in EV research and large-scale applications. Furthermore, China is the leading country in terms of research institutions and authors involved in EVs. The journal Energies is the most prominent publication periodical. Keyword analysis revealed that during the past decade, EV research has concentrated on battery-management systems, energy storage, charging infrastructure, environmental concerns, etc. The bibliometric study offered pertinent details on the main themes explored concerning EVs and current technological developments.
Electric vehicles (EVs) are rapidly becoming a sustainable and viable mode of future transportation due to their multitude of advantages, such as reduced CO2 emissions, local air pollutants, and vehicular noise. This study aims to identify and analyze the scientific literature using bibliometric analysis to determine the main topics of authors, their sources, and the most-cited articles, countries, journals, and institutes in the literature on EVs. This bibliometric analysis included scientific work that was published from 2011 to 2022 to provide a thorough analysis of EVs, which will assist researchers and policymakers in understanding the most current global EV advancements. This analysis extracted all bibliometric information about EVs from the Scopus database, collecting 17,150 articles published between 2011 and 2022. The data were sorted for analysis by publication year, document type, author, institute, country, cited author, keyword, and keyword co-occurrence of the EVs. The VOSviewer software was employed to examine the sorted data due to its excellent analysis and visualization capabilities. We used VOSviewer to graphically represent the density, co-occurrence, trends, and linkage of the aforementioned data comprehensibly. The publishing patterns of EVs indicate that the research field is evolving, with a yearly increase in the number of publications. The analysis showed that China, the United States, and the United Kingdom are leading in EV research and large-scale applications. Furthermore, China is the leading country in terms of research institutions and authors involved in EVs. The journal Energies is the most prominent publication periodical. Keyword analysis revealed that during the past decade, EV research has concentrated on battery-management systems, energy storage, charging infrastructure, environmental concerns, etc. The bibliometric study offered pertinent details on the main themes explored concerning EVs and current technological developments.
Record ID
Keywords
bibliometric analysis, climate change, CO2 emissions, electric vehicles, future mobility, Scopus database, VOSviewer
Subject
Suggested Citation
Ullah I, Safdar M, Zheng J, Severino A, Jamal A. Employing Bibliometric Analysis to Identify the Current State of the Art and Future Prospects of Electric Vehicles. (2023). LAPSE:2023.20410
Author Affiliations
Ullah I: Transportation Engineering College, Dalian Maritime University, Dalian 116026, China; Department of Business and Administration, ILMA University, Karachi 75190, Pakistan [ORCID]
Safdar M: Intelligent Transportation Systems Research Center, Wuhan University of Technology, 1040 Heping Avenue, Wuchang District, Wuhan 430063, China; National Engineering Research Center for Water Transport Safety, Wuhan 430063, China; Engineering Research Cente [ORCID]
Zheng J: Transportation Engineering College, Dalian Maritime University, Dalian 116026, China
Severino A: Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy [ORCID]
Jamal A: Transportation and Traffic Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31451, Saudi Arabia [ORCID]
Safdar M: Intelligent Transportation Systems Research Center, Wuhan University of Technology, 1040 Heping Avenue, Wuchang District, Wuhan 430063, China; National Engineering Research Center for Water Transport Safety, Wuhan 430063, China; Engineering Research Cente [ORCID]
Zheng J: Transportation Engineering College, Dalian Maritime University, Dalian 116026, China
Severino A: Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy [ORCID]
Jamal A: Transportation and Traffic Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31451, Saudi Arabia [ORCID]
Journal Name
Energies
Volume
16
Issue
5
First Page
2344
Year
2023
Publication Date
2023-02-28
ISSN
1996-1073
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Original Submission
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PII: en16052344, Publication Type: Journal Article
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LAPSE:2023.20410
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https://doi.org/10.3390/en16052344
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Mar 17, 2023
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