Benoît Favre

41 papers and 519 indexed citations i.

About

Benoît Favre is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Benoît Favre has authored 41 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Benoît Favre’s work include Topic Modeling (30 papers), Natural Language Processing Techniques (25 papers) and Speech and dialogue systems (15 papers). Benoît Favre is often cited by papers focused on Topic Modeling (30 papers), Natural Language Processing Techniques (25 papers) and Speech and dialogue systems (15 papers). Benoît Favre collaborates with scholars based in France, United States and Germany. Benoît Favre's co-authors include Dilek Hakkani‐Tür, Korbinian Riedhammer, Mickaël Rouvier, Dan Gillick, Daniel Gillick, Stéphane Hugonnet, Peter Rohner, Didier Pittet, Luci Corrêa and Hugo Sax and has published in prestigious journals such as IEEE Signal Processing Magazine, Infection Control and Hospital Epidemiology and American Journal of Primatology.

In The Last Decade

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

Fields of papers citing papers by Benoît Favre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benoît Favre

Since Specialization
Citations

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