Bibliometric Analysis on Applications of Digital Twins in Autonomous Vehicles

Abstract

This paper presents a bibliometric analysis of the research literature on potential applications of digital twins in autonomous vehicles, aiming to identify its main features, the current research trends and their evolution and potential gaps for future studies. The set of publications under study is collected through the most popular scientific databases by performing targeted queries and after removing erroneous entries. Different types of analysis (trend analysis, co-occurrence analysis and citation analysis) are performed and the results obtained are presented through graphs and tables, discussed to extract useful conclusions and widened to propose future extensions and suggestions for the involved stakeholders.