2026 Pierre Collet: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	39	2144	1893	130	123	266	9094

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

2886
Citations
The dimension spectrum of some dynamical systems

P. Collet;Joel Lebowitz;A. Porzio

318
Citations
Universal properties of maps on an interval

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

311
Citations
Instabilities and fronts in extended systems

Pierre Collet;Jean‐Pierre Eckmann;Klaus Kirchgässner

310
Citations
Period doubling bifurcations for families of maps on ℝ n

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

204
Citations
Positive Liapunov exponents and absolute continuity for maps of the interval

P. Collet;J.-P. Eckmann

203
Citations
Statistics of closest return for some non-uniformly hyperbolic systems

P. Collet

201
Citations
A global attracting set for the Kuramoto-Sivashinsky equation

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

197
Citations
A Framework for Distributed Evolutionary Algorithms

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

189
Citations
The time dependent amplitude equation for the Swift-Hohenberg problem

P. Collet;J. P. Eckmann

184
Citations
A renormalization group analysis of the hierarchical model in statistical mechanics

Pierre Collet;Jean Pierre Eckmann

182
Citations
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

140
Citations
Poisson approximation for the number of visits to balls in non-uniformly hyperbolic dynamical systems

Jean-René Chazottes;P. Collet

121
Citations
Analyticity for the Kuramoto-Sivashinsky equation

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

114
Citations
A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms

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

111
Citations
Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA

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

110
Citations
Large deviations for multiplicative chaos

P. Collet;F. Koukiou

106
Citations
Ergodic properties of the Lozi mappings

P. Collet;Y. Levy

96
Citations
Polar IFS+Parisian Genetic ProgrammingeEfficient IFS Inverse Problem Solving

Pierre Collet;Evelyne Lutton;Frédéric Raynal;Marc Schoenauer

93
Citations
Space-time behaviour in problems of hydrodynamic type: a case study

P. Collet;Jean-Pierre Eckmann

88
Citations
On the abundance of aperiodic behaviour for maps on the interval

P. Collet;J. P. Eckmann

83
Citations

Frequent Co-Authors

Jean-Pierre Eckmann University of Geneva

Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA

Jean-Philippe Steyer INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

Marco Tomassini University of Lausanne

Olivier Bernard University of Paris-Saclay

Sylvie Méléard École Polytechnique

Avelino Corma Universitat Politècnica de València

El-Ghazali Talbi University of Lille

Wolfgang Banzhaf Michigan State University

Joel L. Lebowitz Rutgers, The State University of New Jersey

External Links

Wikipedia of Pierre Collet Personal website of Pierre Collet Google Scholar page

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