Didier Chauveau

24 papers and 1.3k indexed citations i.

About

Didier Chauveau is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Didier Chauveau has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 4 papers in Mathematical Physics. Recurrent topics in Didier Chauveau’s work include Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Bayesian Inference (9 papers) and Markov Chains and Monte Carlo Methods (8 papers). Didier Chauveau is often cited by papers focused on Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Bayesian Inference (9 papers) and Markov Chains and Monte Carlo Methods (8 papers). Didier Chauveau collaborates with scholars based in France, United States and Syria. Didier Chauveau's co-authors include David R. Hunter, Tatiana Benaglia, Derek S. Young, Jean Diebolt, Gilles Celeux, Pierre Vandekerkhove, Laurent Bordes, Michael Levine, F.H. Ruymgaart and Franck Brignolas and has published in prestigious journals such as Journal of Experimental Botany, Biometrika and Geoderma.

In The Last Decade

Co-authorship network of co-authors of Didier Chauveau i

Fields of papers citing papers by Didier Chauveau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Didier Chauveau

Since Specialization
Citations

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