Lionel Revéret

31 papers and 883 indexed citations i.

About

Lionel Revéret is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Lionel Revéret has authored 31 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 11 papers in Control and Systems Engineering and 4 papers in Biomedical Engineering. Recurrent topics in Lionel Revéret’s work include Human Pose and Action Recognition (11 papers), Human Motion and Animation (10 papers) and Face recognition and analysis (5 papers). Lionel Revéret is often cited by papers focused on Human Pose and Action Recognition (11 papers), Human Motion and Animation (10 papers) and Face recognition and analysis (5 papers). Lionel Revéret collaborates with scholars based in France, United States and Canada. Lionel Revéret's co-authors include David Sander, Didier Grandjean, Andrej Karpathy, Michiel van de Panne, Stelian Coros, Ben Jones, Pierre Badin, Gérard Bailly, Michaël Andres and Etienne Olivier and has published in prestigious journals such as PLoS ONE, European Journal of Neuroscience and Journal of Experimental Biology.

In The Last Decade

Co-authorship network of co-authors of Lionel Revéret i

Fields of papers citing papers by Lionel Revéret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lionel Revéret. 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 Lionel Revéret. The network helps show where Lionel Revéret may publish in the future.

Countries citing papers authored by Lionel Revéret

Since Specialization
Citations

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