Brieuc Conan‐Guez

10 papers and 215 indexed citations i.

About

Brieuc Conan‐Guez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Brieuc Conan‐Guez has authored 10 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Brieuc Conan‐Guez’s work include Neural Networks and Applications (9 papers), Face and Expression Recognition (5 papers) and Blind Source Separation Techniques (4 papers). Brieuc Conan‐Guez is often cited by papers focused on Neural Networks and Applications (9 papers), Face and Expression Recognition (5 papers) and Blind Source Separation Techniques (4 papers). Brieuc Conan‐Guez collaborates with scholars based in France and Belgium. Brieuc Conan‐Guez's co-authors include Fabrice Rossi, Michel Verleysen and François Fleuret and has published in prestigious journals such as Neurocomputing, Neural Networks and Neural Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Brieuc Conan‐Guez i

Fields of papers citing papers by Brieuc Conan‐Guez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brieuc Conan‐Guez. 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 Brieuc Conan‐Guez. The network helps show where Brieuc Conan‐Guez may publish in the future.

Countries citing papers authored by Brieuc Conan‐Guez

Since Specialization
Citations

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