2026 Jean-Michel Marin: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	32	3101	2769	186	175	138	9458

Overview

Jean-Michel Marin is affiliated with the University of Montpellier in France. Their research primarily falls within the broad field of Biochemistry, Genetics and Molecular Biology, with a focus on Genetics, Molecular Biology, Artificial Intelligence, Ecology, Evolution, Behavior and Systematics, and Statistics and Probability.

The research topics addressed in their work include Genetic diversity and population structure, Evolution and Genetic Dynamics, Bayesian Methods and Mixture Models, Plant and animal studies, Genomics and Chromatin Dynamics, Algorithms and Data Compression, and Markov Chains and Monte Carlo Methods.

Their recent papers demonstrate a concentration on applying statistical and computational methods to population genetics and evolutionary biology. These papers are:

"Extending approximate Bayesian computation with supervised machine learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest," 2021, published in Molecular Ecology Resources
"A young age of subspecific divergence in the desert locust inferred by ABC random forest," 2020, published in Molecular Ecology
"Joint inference of adaptive and demographic history from temporal population genomic data," 2021, published in bioRxiv (Cold Spring Harbor Laboratory)
"TFscope: systematic analysis of the sequence features involved in the binding preferences of transcription factors," 2024, published in Genome biology
"Joint inference of adaptive and demographic history from temporal population genomic data," 2022, published in Peer Community Journal

Jean-Michel Marin frequently collaborates with several coauthors. Among the most frequent are Arnaud Estoup, Louis Raynal, Vitor Antonio Corrêa Pavinato, Stéphane De Mita, and Miguel Navascués.

The scientist publishes regularly in specific venues aligned with their research focus. The most common publication platforms include:

bioRxiv (Cold Spring Harbor Laboratory)
HAL (Le Centre pour la Communication Scientifique Directe)
arXiv (Cornell University)
Molecular Ecology Resources
Molecular Ecology

Best Publications

DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data

Jean-Marie Cornuet;Pierre Pudlo;Julien Veyssier;Alexandre Dehne-Garcia

1122
Citations
Inferring population history with DIY ABC

Jean-Marie Cornuet;Filipe Santos;Mark A. Beaumont;Christian P. Robert

1010
Citations
Approximate Bayesian Computational methods

Jean-Michel Marin;Pierre Pudlo;Christian P. Robert;Robin Ryder

990
Citations
Approximate Bayesian computational methods

Jean-Michel Marin;Pierre Pudlo;Christian P. Robert;Robin J. Ryder

968
Citations
Bayesian Modelling and Inference on Mixtures of Distributions

Jean-Michel Marin;Kerrie Mengersen;Christian P. Robert

782
Citations
Adaptive approximate Bayesian computation

Mark A. Beaumont;Jean-Marie Cornuet;Jean-Michel Marin;Christian P. Robert

712
Citations
Population Monte Carlo

Olivier Cappé;Arnaud Guillin;Jean-Michel Marin;Christian P. Robert

620
Citations
Bayesian Core A Practical Approach To Computational Bayesian Statistics

Jean-Michel Marin;Christian Robert

606
Citations
Bayesian Modelling and Inference on Mixtures of Distributions

Jean-Michel Marin;Kerrie Mengersen;Christian P. Robert

590
Citations
Reliable ABC model choice via random forests.

Pierre Pudlo;Jean-Michel Marin;Arnaud Estoup;Jean-Marie Cornuet

445
Citations
Lack of confidence in approximate Bayesian computation model choice

Christian P. Robert;Jean-Marie Cornuet;Jean-Michel Marin;Natesh S. Pillai

414
Citations
Lack of confidence in approximate Bayesian computation model choice

Christian P. Robert;Jean-Marie Cornuet;Jean-Michel Marin;Natesh S. Pillai

402
Citations
Adaptive importance sampling in general mixture classes

Olivier Cappé;Randal Douc;Arnaud Guillin;Jean-Michel Marin

365
Citations
Adaptive Multiple Importance Sampling

Jean-Marie Cornuet;Jean-Michel Marin;Antonietta Mira;Christian P. Robert

303
Citations
ABC random forests for Bayesian parameter inference.

Louis Raynal;Jean-Michel Marin;Pierre Pudlo;Mathieu Ribatet

200
Citations
Convergence of adaptive mixtures of importance sampling schemes

R. Douc;A. Guillin;Jean-Michel Marin;C. P. Robert

200
Citations
Deciphering the Routes of invasion of Drosophila suzukii by Means of ABC Random Forest.

Antoine Fraimout;Vincent Debat;Simon Fellous;Ruth A. Hufbauer;Ruth A. Hufbauer

170
Citations
Extending approximate Bayesian computation with supervised machine learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest

François-David Collin;Ghislain Durif;Louis Raynal;Eric Lombaert

168
Citations
ABC likelihood-free methods for model choice in Gibbs random fields

Aude Grelaud;Christian P. Robert;Jean-Michel Marin;François Rodolphe

166
Citations
Relevant statistics for Bayesian model choice

Jean-Michel Marin;Natesh S. Pillai;Christian P. Robert;Judith Rousseau

151
Citations
Estimation of demo-genetic model probabilities with Approximate Bayesian Computation using linear discriminant analysis on summary statistics.

Arnaud Estoup;Eric Lombaert;Jean‐Michel Marin;Thomas Guillemaud

136
Citations
Minimum variance importance sampling via Population Monte Carlo

Randal Douc;Arnaud Guillin;Jean-Michel Marin;Christian P. Robert

123
Citations
Bayesian Essentials with R

Jean-Michel Marin;Christian P. Robert

113
Citations
Mean-field variational approximate Bayesian inference for latent variable models

Guido Consonni;Jean-Michel Marin

88
Citations
Iterated importance sampling in missing data problems

Gilles Celeux;Jean-Michel Marin;Christian P. Robert

81
Citations
Adaptive Importance Sampling in General Mixture Classes

Olivier Cappé;Randal Douc;Arnaud Guillin;Jean-Michel Marin

17
Citations

Frequent Co-Authors

Christian P. Robert Paris Dauphine University

Arnaud Guillin University of Clermont Auvergne

Gilles Celeux French Institute for Research in Computer Science and Automation - INRIA

Kerrie Mengersen Queensland University of Technology

Olivier Cappé PSL University

Christophe Andrieu University of Bristol

D. M. Titterington University of Glasgow

Arnaud Doucet University of Oxford

Mark A. Beaumont University of Bristol

Thomas Guillemaud Université Côte d'Azur

External Links

Personal website of Jean-Michel Marin

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