World's Best Scientists 2026 revealed!
Jean-Michel Marin

Jean-Michel Marin

D-Index & Metrics

Mathematics

D-Index
32
Citations
9458
World Ranking
3102
National Ranking
186

Jean-Michel Marin publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Jean-Michel Marin sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 138 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Jean-Michel Marin D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Jean-Michel Marin sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 32 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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

  • Inferring population history with DIY ABC

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

  • Approximate Bayesian Computational methods

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

  • Approximate Bayesian computational methods

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

  • Bayesian Modelling and Inference on Mixtures of Distributions

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

  • Adaptive approximate Bayesian computation

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

  • Population Monte Carlo

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

  • Bayesian Core A Practical Approach To Computational Bayesian Statistics

    Jean-Michel Marin;Christian Robert

  • Bayesian Modelling and Inference on Mixtures of Distributions

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

  • Reliable ABC model choice via random forests.

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

  • Lack of confidence in approximate Bayesian computation model choice

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

  • Lack of confidence in approximate Bayesian computation model choice

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

  • Adaptive importance sampling in general mixture classes

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

  • Adaptive Multiple Importance Sampling

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

  • ABC random forests for Bayesian parameter inference.

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

  • Convergence of adaptive mixtures of importance sampling schemes

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

  • 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

  • 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

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

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

  • Relevant statistics for Bayesian model choice

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

  • 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

  • Minimum variance importance sampling via Population Monte Carlo

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

  • Bayesian Essentials with R

    Jean-Michel Marin;Christian P. Robert

  • Mean-field variational approximate Bayesian inference for latent variable models

    Guido Consonni;Jean-Michel Marin

  • Iterated importance sampling in missing data problems

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

  • Adaptive Importance Sampling in General Mixture Classes

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

Frequent Co-Authors

Christian P. Robert
Christian P. Robert Paris Dauphine University
Arnaud Guillin
Arnaud Guillin University of Clermont Auvergne
Gilles Celeux
Gilles Celeux French Institute for Research in Computer Science and Automation - INRIA
Arnaud Estoup
Arnaud Estoup University of Montpellier
Kerrie Mengersen
Kerrie Mengersen Queensland University of Technology
Olivier Cappé
Olivier Cappé PSL University
Christine N. Meynard
Christine N. Meynard Montpellier SupAgro
Ruth A. Hufbauer
Ruth A. Hufbauer Colorado State University
Mark A. Beaumont
Mark A. Beaumont University of Bristol
Thomas Guillemaud
Thomas Guillemaud Université Côte d'Azur

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