Didier Chauveau
- Artificial Intelligence top 5%
- Statistics and Probability top 1%
- Molecular Biology
- Ecology top 10%
- Plant Science
- Co-authors
- David R. HunterTatiana BenagliaDerek S. YoungJean DieboltGilles CeleuxLaurent BordesF.H. RuymgaartMichael Levine
- Topics
- Bayesian Methods and Mixture Models (19 papers)Markov Chains and Monte Carlo Methods (9 papers)Statistical Methods and Bayesian Inference (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Experimental BotanyBiometrika
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Didier Chauveau
29 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Artificial Intelligence 403
- Statistics and Probability 331
- Molecular Biology 322
- Ecology 170
- Plant Science 146
Countries citing papers authored by Didier Chauveau
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).
Fields of papers citing papers by Didier Chauveau
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.
Co-authorship network of co-authors of Didier Chauveau
This figure shows the co-authorship network connecting the top 25 collaborators of Didier Chauveau. A scholar is included among the top collaborators of Didier Chauveau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Didier Chauveau. Didier Chauveau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 44 | |
| 3 | 17 | |
| 4 | 6 | |
| 5 | Comments : EM-based likelihood inference for some lifetime distributions based on left truncated and right censored data and associated model discrimination | 4 |
| 6 | 5 | |
| 7 | 13 | |
| 8 | mixtools: An R Package for Analyzing Mixture Models | 45 |
| 9 | mixtools: An R package for analyzing finite mixture models | 31 |
| 10 | 68 | |
| 11 | mixtools: AnRPackage for Analyzing Finite Mixture Modelsbreakdown → | 871 |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | Improving Convergence of the Hastings- Metropolis Algorithm with an Adaptive | 2 |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 115 | |
| 19 | 34 | |
| 20 | Algorithmes EM et SEM pour un mélange censuré de distributions de défaillances. Application à la fiabilité d'équipements électroniques en période de jeunesse | 1 |
About Didier Chauveau
Didier Chauveau is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (19 papers), Markov Chains and Monte Carlo Methods (9 papers) and Statistical Methods and Bayesian Inference (8 papers). The work is most often cited by research in Statistics and Probability (331 citations), Computational Mathematics (16 citations) and Artificial Intelligence (403 citations). Didier Chauveau has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include David R. Hunter, Tatiana Benaglia, Derek S. Young, Jean Diebolt, Gilles Celeux, Laurent Bordes, F.H. Ruymgaart, Michael Levine, David J. Hunter and Stéphane Maury. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Experimental Botany and Biometrika.
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.