World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
9094
World Ranking
2145
National Ranking
130

Pierre Collet 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 Pierre Collet 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: 266 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Pierre Collet 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 Pierre Collet 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: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Pierre Collet is affiliated with the University of Strasbourg in France and has a research focus spanning biochemistry, genetics, molecular biology, and computer science. Their work integrates multiple disciplines, including artificial intelligence and statistical physics, with applications in bioinformatics and evolutionary studies.

Their main fields of study include:

  • Biochemistry, Genetics and Molecular Biology
  • Computer Science

Significant subfields of Collet's research involve:

  • Molecular Biology
  • Artificial Intelligence
  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Condensed Matter Physics

Key topics explored in their publications consist of:

  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies
  • Genetics, Bioinformatics, and Biomedical Research
  • Evolutionary Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research
  • RNA and protein synthesis mechanisms
  • Stochastic processes and statistical mechanics

Collet has contributed to multiple publication venues, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • BMC Bioinformatics
  • Research Square
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

Frequent collaborators in their research include:

  • Anne Jeannin-Girardon
  • Olivier Poch
  • Julie Thompson
  • Pierre Parrend
  • Nicolas Scalzitti

Recent papers authored or co-authored by Pierre Collet include:

  • A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms, 2020, BMC Genomics
  • Spliceator: multi-species splice site prediction using convolutional neural networks, 2021, BMC Bioinformatics
  • Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomes, 2020, BMC Bioinformatics
  • A Review on Complex System Engineering, 2020, Journal of Systems Science and Complexity
  • A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms, 2020, Research Square

In addition to journal articles, Collet has published in book form. One notable work is:

  • Complex Computational Ecosystems, 2023, Springer Science+Business Media

Best Publications

  • Iterated maps on the interval as dynamical systems

    Pierre Collet;Jean Pierre Eckmann

  • The dimension spectrum of some dynamical systems

    P. Collet;Joel Lebowitz;A. Porzio

  • Universal properties of maps on an interval

    P. Collet;J. P. Eckmann;O. E. Lanford

  • Instabilities and fronts in extended systems

    Pierre Collet;Jean‐Pierre Eckmann;Klaus Kirchgässner

  • Period doubling bifurcations for families of maps on ℝ n

    P. Collet;J. P. Eckmann;H. Koch

  • Positive Liapunov exponents and absolute continuity for maps of the interval

    P. Collet;J.-P. Eckmann

  • Statistics of closest return for some non-uniformly hyperbolic systems

    P. Collet

  • A global attracting set for the Kuramoto-Sivashinsky equation

    Pierre Collet;Jean-Pierre Eckmann;Henri Epstein;Joachim Stubbe

  • A Framework for Distributed Evolutionary Algorithms

    Maribel García Arenas;Pierre Collet;A. E. Eiben;Márk Jelasity

  • The time dependent amplitude equation for the Swift-Hohenberg problem

    P. Collet;J. P. Eckmann

  • A renormalization group analysis of the hierarchical model in statistical mechanics

    Pierre Collet;Jean Pierre Eckmann

  • An optimisation method for separating and rebuilding one-dimensional dispersive waves from multi-point measurements. Application to elastic or viscoelastic bars

    Marie-Noëlle Bussac;Pierre Collet;Gérard Gary;Ramzi Othman

  • Poisson approximation for the number of visits to balls in non-uniformly hyperbolic dynamical systems

    Jean-René Chazottes;P. Collet

  • Analyticity for the Kuramoto-Sivashinsky equation

    P. Collet;J.-P. Eckmann;H. Epstein;J. Stubbe;J. Stubbe

  • A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms

    Nicolas Scalzitti;Anne Jeannin-Girardon;Pierre Collet;Olivier Poch

  • Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA

    Ogier Maitre;Laurent A. Baumes;Nicolas Lachiche;Avelino Corma

  • Large deviations for multiplicative chaos

    P. Collet;F. Koukiou

  • Ergodic properties of the Lozi mappings

    P. Collet;Y. Levy

  • Polar IFS+Parisian Genetic ProgrammingeEfficient IFS Inverse Problem Solving

    Pierre Collet;Evelyne Lutton;Frédéric Raynal;Marc Schoenauer

  • Space-time behaviour in problems of hydrodynamic type: a case study

    P. Collet;Jean-Pierre Eckmann

  • On the abundance of aperiodic behaviour for maps on the interval

    P. Collet;J. P. Eckmann

Frequent Co-Authors

Jean-Pierre Eckmann
Jean-Pierre Eckmann University of Geneva
Marc Schoenauer
Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA
Jean-Philippe Steyer
Jean-Philippe Steyer INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Marco Tomassini
Marco Tomassini University of Lausanne
Sylvie Méléard
Sylvie Méléard École Polytechnique
Olivier Bernard
Olivier Bernard University of Paris-Saclay
Régis Ferrière
Régis Ferrière École Normale Supérieure
El-Ghazali Talbi
El-Ghazali Talbi University of Lille
Wolfgang Banzhaf
Wolfgang Banzhaf Michigan State University
Joel L. Lebowitz
Joel L. Lebowitz Rutgers, The State University of New Jersey

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