A Bibliometric Analysis of Internet of Things (IoT) Research Trends on Electric Cars

This study focuses on analyzing articles related to the use of IoT technology in electric cars. This study aims to identify and analyze scientific literature on this topic in the past and present. This study uses a bibliometric analysis approach based on articles published in journals and conferences indexed by Scopus. Bibliometric analysis is used to analyze the number of publications, the most published articles, keyword analysis, and research trends on IoT technology in electric cars. Research trends are analyzed using VOSviewer to describe the relationship between keywords. The results show that 51 documents, consisting of 20 journal articles and 31 conference articles, were published between 2016 and 2024. Research related to the implementation of IoT in electric cars has developed every year, and an increase in the number of publications marks this. The keywords with the highest frequency on this topic include the Internet of Things, electric vehicles, charging (batteries), electric cars, and digital storage. Other topics related to the application of IoT in electric cars, such as autonomous driving and intelligent systems, provide a clear picture of research trends in this area. Other topics include supporting technologies such as artificial intelligence, machine learning, and blockchain, which increase the security and efficiency of IoT -based systems.