Benoît Frénay‬

61 papers and 1.6k indexed citations i.

About

Benoît Frénay‬ is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Benoît Frénay‬ has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Benoît Frénay‬’s work include Neural Networks and Applications (12 papers), Face and Expression Recognition (10 papers) and Machine Learning and Data Classification (10 papers). Benoît Frénay‬ is often cited by papers focused on Neural Networks and Applications (12 papers), Face and Expression Recognition (10 papers) and Machine Learning and Data Classification (10 papers). Benoît Frénay‬ collaborates with scholars based in Belgium, The Netherlands and France. Benoît Frénay‬'s co-authors include Michel Verleysen, Adrien Bibal, Gauthier Doquire, Ata Kabán, Alexandre de Streel, Amaury Lendasse, Yoan Miché, Pierre Frankhauser, Isabelle Thomas and Mark van Heeswijk and has published in prestigious journals such as ACM Computing Surveys, Pattern Recognition and IEEE Transactions on Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Benoît Frénay‬ i

Fields of papers citing papers by Benoît Frénay‬

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benoît Frénay‬

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025