Didier Chauveau

2.4k total citations · 1 hit paper
30 papers, 1.5k citations indexed

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 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 19 papers in Artificial Intelligence and 5 papers in Mathematical Physics. Recurrent topics in Didier Chauveau's 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). Didier Chauveau is often cited by papers focused on Bayesian Methods and Mixture Models (19 papers), Markov Chains and Monte Carlo Methods (9 papers) and Statistical Methods and Bayesian Inference (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, Laurent Bordes, F.H. Ruymgaart, Michael Levine, David J. Hunter and Alain Delaunay and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Experimental Botany and Biometrika.

In The Last Decade

Didier Chauveau

29 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

mixtools: AnRPackage for Analyzing Finite Mixture Models

2009 871 citations Tatiana Benaglia, Didier Chauveau et al. Journal of Statistical Software profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Didier Chauveau France	14	403	331	322	170	146	30	1.5k
Derek S. Young United States	14	270 0.7×	322 1.0×	259 0.8×	171 1.0×	77 0.5×	49	1.5k
Tarn Duong France	20	421 1.0×	391 1.2×	522 1.6×	270 1.6×	89 0.6×	39	2.2k
Dirk Eddelbuettel United States	13	496 1.2×	422 1.3×	305 0.9×	148 0.9×	62 0.4×	33	1.9k
Ian L. Dryden United Kingdom	27	368 0.9×	202 0.6×	266 0.8×	91 0.5×	69 0.5×	109	2.4k
Michael Fop Ireland	7	336 0.8×	131 0.4×	419 1.3×	203 1.2×	98 0.7×	20	2.0k
Tatiana Benaglia Brazil	10	194 0.5×	144 0.4×	253 0.8×	159 0.9×	68 0.5×	13	1.3k
J. T. Gene Hwang United States	19	268 0.7×	572 1.7×	469 1.5×	71 0.4×	132 0.9×	49	1.8k
Romain François France	5	235 0.6×	205 0.6×	185 0.6×	112 0.7×	54 0.4×	11	1.2k
Anja Struyf Belgium	21	187 0.5×	356 1.1×	123 0.4×	115 0.7×	78 0.5×	26	1.9k
R. A. Bailey United Kingdom	27	296 0.7×	413 1.2×	164 0.5×	90 0.5×	141 1.0×	145	2.4k

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).

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.

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

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20 of 20 papers shown

Gac, Anne‐Laure Le, Clément Lafon Placette, Didier Chauveau, et al.. (2018). Winter-dormant shoot apical meristem in poplar trees shows environmental epigenetic memory. Journal of Experimental Botany. 69(20). 4821–4837. 45 indexed citations

Placette, Clément Lafon, Anne‐Laure Le Gac, Didier Chauveau, et al.. (2017). Changes in the epigenome and transcriptome of the poplar shoot apical meristem in response to water availability affect preferentially hormone pathways. Journal of Experimental Botany. 69(3). 537–551. 44 indexed citations

Chauveau, Didier, et al.. (2016). Nonparametric mixture models with conditionally independent multivariate component densities. Computational Statistics & Data Analysis. 103. 1–16. 6 indexed citations

Bordes, Laurent & Didier Chauveau. (2016). Stochastic EM algorithms for parametric and semiparametric mixture models for right-censored lifetime data. Computational Statistics. 31(4). 1513–1538. 17 indexed citations

Chauveau, Didier, David R. Hunter, & Michael A. Levine. (2015). Semi-parametric estimation for conditional independence multivariate finite mixture models. Project Euclid (Cornell University). 9(none). 14 indexed citations

Bordes, Laurent & Didier Chauveau. (2014). Comments : EM-based likelihood inference for some lifetime distributions based on left truncated and right censored data and associated model discrimination. 48(2). 197–200. 4 indexed citations

Chauveau, Didier, Nicolas Saby, Thomas G. Orton, et al.. (2014). Large-scale simultaneous hypothesis testing in monitoring carbon content from French soil database — A semi-parametric mixture approach. Geoderma. 219-220. 117–124. 5 indexed citations

Chauveau, Didier, et al.. (2012). Smoothness of Metropolis-Hastings algorithm and application to entropy estimation. ESAIM Probability and Statistics. 17. 419–431. 1 indexed citations

Benaglia, Tatiana, Didier Chauveau, David J. Hunter, & Derek S. Young. (2009). mixtools: An R package for analyzing finite mixture models. HAL (Le Centre pour la Communication Scientifique Directe). 31 indexed citations

10.

Benaglia, Tatiana, Didier Chauveau, David R. Hunter, & Derek S. Young. (2009). mixtools: An R Package for Analyzing Mixture Models. SHILAP Revista de lepidopterología. 45 indexed citations

11.

Benaglia, Tatiana, Didier Chauveau, & David R. Hunter. (2009). An EM-Like Algorithm for Semi- and Nonparametric Estimation in Multivariate Mixtures. Journal of Computational and Graphical Statistics. 18(2). 505–526. 68 indexed citations

12.

Benaglia, Tatiana, Didier Chauveau, David R. Hunter, & Derek S. Young. (2009). mixtools: AnRPackage for Analyzing Finite Mixture Models. Journal of Statistical Software. 32(6). 871 indexed citations breakdown →

13.

Chauveau, Didier & Jean Diebolt. (2003). Estimation of the Asymptotic Variance in the CLT for Markov Chains. Stochastic Models. 19(4). 449–465. 4 indexed citations

14.

Chauveau, Didier, et al.. (2002). Bayesian analysis of the Logit model and comparison of two Metropolis–Hastings strategies. Computational Statistics & Data Analysis. 39(2). 137–152. 2 indexed citations

15.

Chauveau, Didier, et al.. (1999). Un algorithme de Hastings-Metropolis avec apprentissage séquentiel. Comptes Rendus de l Académie des Sciences - Series I - Mathematics. 329(2). 173–176. 4 indexed citations

16.

Chauveau, Didier & Jean Diebolt. (1999). An automated stopping rule for MCMC convergence assessment. Computational Statistics. 14(3). 419–442. 11 indexed citations

17.

Celeux, Gilles, Didier Chauveau, & Jean Diebolt. (1996). Stochastic versions of the em algorithm: an experimental study in the mixture case. Journal of Statistical Computation and Simulation. 55(4). 287–314. 115 indexed citations

18.

Chauveau, Didier. (1995). A stochastic EM algorithm for mixtures with censored data. Journal of Statistical Planning and Inference. 46(1). 1–25. 34 indexed citations

19.

Chauveau, Didier, et al.. (1994). Regularized Inversion of Noisy Laplace Transforms. Advances in Applied Mathematics. 15(2). 186–201. 34 indexed citations

20.

Chauveau, Didier. (1992). Algorithmes EM et SEM pour un mélange censuré de distributions de défaillances. Application à la fiabilité d'équipements électroniques en période de jeunesse. French digital mathematics library (Numdam). 40(2). 67–76. 1 indexed citations

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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