Pierre Collet

7.9k citations
193 papers · 3.6k · h-index 32

Impact in

Papers in

    • Mathematical Dynamics and Fractals 40
    • Stochastic processes and statistical mechanics 28
    • Evolutionary Algorithms and Applications 17
    • Metaheuristic Optimization Algorithms Research 14

Pierre Collet

188 papers receiving 3.4k citations

Peers

Pierre Collet
Comparison fields: 5 of 153
  • Mathematical Physics 1.4k
  • Statistical and Nonlinear Physics 1.2k
  • Computer Networks and Communications 780
  • Geometry and Topology 259
  • Condensed Matter Physics 337
Replace Ian Melbourne with:
Ian Melbourne United Kingdom
Yakov G. Sinai United States
Andrzej Lasota Poland
Philippe Martin France
Mathew D. Penrose United Kingdom
Ronald F. Boisvert United States
Leonid Bunimovich United States
Robert M. Corless Canada
Maury Bramson United States
Felipe Cucker Hong Kong
Pierre Collet relative to Ian Melbourne United Kingdom Ian Melbourne's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pierre Collet

Since Specialization
Citations

This map shows the geographic impact of Pierre Collet'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 Pierre Collet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Collet more than expected).

Fields of papers citing papers by Pierre Collet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre Collet. 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 Pierre Collet. The network helps show where Pierre Collet may publish in the future.

Co-authors

The 25 scholars most cited alongside Pierre Collet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pierre Collet Line = papers co-authored together Pierre Collet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009230
2 1987170
3 1980153
4 1990143
5 1993120
6 2012119
7 1990100
8 198198
9 198386
10 200981
11 200276
12 200170
13 202061
14 199361
15 199060
16 200952
17 199249
18 201247
19 198444
20 202143

About Pierre Collet

Pierre Collet is a scholar working on Mathematical Physics, Artificial Intelligence, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Computer Networks and Communications, having authored 193 papers that have together received 3.6k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (40 papers), Stochastic processes and statistical mechanics (28 papers), Quantum chaos and dynamical systems (22 papers), Evolutionary Algorithms and Applications (17 papers), Nonlinear Dynamics and Pattern Formation (17 papers), Metaheuristic Optimization Algorithms Research (14 papers), Theoretical and Computational Physics (14 papers) and Chaos control and synchronization (11 papers). The work is most often cited by research in Mathematical Physics (1.4k citations), Statistical and Nonlinear Physics (1.2k citations), Computer Networks and Communications (780 citations), Geometry and Topology (259 citations) and Condensed Matter Physics (337 citations). Pierre Collet has collaborated with scholars based in France, Switzerland and Chile. Frequent co-authors include Jean‐Pierre Eckmann, Jaime San Martı́n, Servet Martı́nez, Henri Epstein, Anna Porzio, Oscar E. Lanford, B. Schmitt, Hans Koch, Jean-René Chazottes and Évelyne Lutton. Their work appears in journals such as Communications in Mathematical Physics, Journal of Statistical Physics, Nonlinearity, Probability Theory and Related Fields and Genetic Programming and Evolvable Machines.

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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