Benoı̂t Cadre

29 papers and 521 indexed citations i.

About

Benoı̂t Cadre is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Benoı̂t Cadre has authored 29 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 6 papers in Applied Mathematics. Recurrent topics in Benoı̂t Cadre’s work include Statistical Methods and Inference (17 papers), Bayesian Methods and Mixture Models (11 papers) and Advanced Statistical Methods and Models (8 papers). Benoı̂t Cadre is often cited by papers focused on Statistical Methods and Inference (17 papers), Bayesian Methods and Mixture Models (11 papers) and Advanced Statistical Methods and Models (8 papers). Benoı̂t Cadre collaborates with scholars based in France, United States and China. Benoı̂t Cadre's co-authors include Gérard Biau, Gérard Biau, Christophe Abraham, Bruno Pelletier, Pierre Jacob, Pierre Pudlo, Ali Gannoun, David Y. Mason, Alain Berlinet and Luc Devroye and has published in prestigious journals such as The Annals of Statistics, Journal of Mathematical Analysis and Applications and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Benoı̂t Cadre i

Fields of papers citing papers by Benoı̂t Cadre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benoı̂t Cadre

Since Specialization
Citations

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