Didier Aubert

31 papers and 1.1k indexed citations i.

About

Didier Aubert is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Media Technology. According to data from OpenAlex, Didier Aubert has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 10 papers in Automotive Engineering and 5 papers in Media Technology. Recurrent topics in Didier Aubert’s work include Advanced Vision and Imaging (14 papers), Image Enhancement Techniques (12 papers) and Autonomous Vehicle Technology and Safety (10 papers). Didier Aubert is often cited by papers focused on Advanced Vision and Imaging (14 papers), Image Enhancement Techniques (12 papers) and Autonomous Vehicle Technology and Safety (10 papers). Didier Aubert collaborates with scholars based in France and United States. Didier Aubert's co-authors include Nicolas Hautière, Jean‐Philippe Tarel, Éric Dumont, Raphaël Labayrade, Dominique Gruyer, A. Cord, Mathias Perrollaz, Anne Spalanzani, Houssam Halmaoui and Sébastien Glaser and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and Autonomous Robots.

In The Last Decade

Co-authorship network of co-authors of Didier Aubert i

Fields of papers citing papers by Didier Aubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Didier Aubert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Didier Aubert. The network helps show where Didier Aubert may publish in the future.

Countries citing papers authored by Didier Aubert

Since Specialization
Citations

This map shows the geographic impact of Didier Aubert's research. 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 Didier Aubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Aubert 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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2025