Charles Bouveyron

60 papers and 1.3k indexed citations i.

About

Charles Bouveyron is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Charles Bouveyron has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 14 papers in Signal Processing and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Charles Bouveyron’s work include Bayesian Methods and Mixture Models (31 papers), Advanced Clustering Algorithms Research (20 papers) and Spectroscopy and Chemometric Analyses (8 papers). Charles Bouveyron is often cited by papers focused on Bayesian Methods and Mixture Models (31 papers), Advanced Clustering Algorithms Research (20 papers) and Spectroscopy and Chemometric Analyses (8 papers). Charles Bouveyron collaborates with scholars based in France, Italy and Canada. Charles Bouveyron's co-authors include Stéphane Girard, Julien Jacques, C. Schmid, Pierre Latouche, Laurent Bergé, Cordelia Schmid, Étienne Côme, Julie Delon, Laurence Chèze and Gilles Celeux and has published in prestigious journals such as Scientific Reports, Astronomy and Astrophysics and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Charles Bouveyron i

Fields of papers citing papers by Charles Bouveyron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Charles Bouveyron

Since Specialization
Citations

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