Automotive Engineering

594.2k papers and 12.8M indexed citations i.

About

594.2k papers covering Automotive Engineering have received a total of 12.8M indexed citations since 1950. Papers on subfields are most often about the specific topic of Advanced Battery Technologies Research, Additive Manufacturing and 3D Printing Technologies and Vehicle emissions and performance and also cover the fields of Electrical and Electronic Engineering, Mechanical Engineering and Control and Systems Engineering. Papers citing papers on subfields are usually about Electrical and Electronic Engineering, Mechanical Engineering and Biomedical Engineering. Some of the most active scholars covering Automotive Engineering are Michel Armand, John B. Goodenough, Kang Xu, Arumugam Manthiram, J. M. Tarascon, Yi Cui, Qiang Zhang, J.-M. Tarascon, M. Stanley Whittingham and J. R. Dahn.

In The Last Decade

Fields of papers citing papers about Automotive Engineering

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers covering Automotive Engineering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers covering Automotive Engineering.

Countries where authors publish papers about Automotive Engineering

Since Specialization

Citations

This map shows the geographic impact of research in Automotive Engineering. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers about Automotive Engineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Automotive Engineering more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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