Philippe Collard

1.1k citations
75 papers · 902 · h-index 16

Impact in

Papers in

Philippe Collard

71 papers receiving 864 citations

Peers

Philippe Collard
Comparison fields: 5 of 45
  • Artificial Intelligence 710
  • Computational Theory and Mathematics 65
  • Industrial and Manufacturing Engineering 24
  • Statistical and Nonlinear Physics 25
  • Biomedical Engineering 67
Replace Lisa B. Soros with:
Lisa B. Soros United States
Sevan Gregory Ficici United States
Vesselin K. Vassilev United Kingdom
Thilo Mahnig Cuba
Chengyue Gong United States
Jan Paredis Netherlands
Christine Zarges United Kingdom
Shin Ando Japan
Scott Davies United States
Martin S. Krejca Germany
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Citations per field
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Citations per year

Countries citing papers authored by Philippe Collard

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Collard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Philippe Collard, 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 Philippe Collard Line = papers co-authored together Philippe Collard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005105
2 200369
3 200463
4 200651
5 200343
6 200341
7 200736
8 200728
9
Fitness distance correlation and problem difficulty for genetic programming.
200227
10 200727
11 200224
12 200623
13
DGA: an efficient genetic algorithm
199421
14 200319
15 199717
16 200216
17 200816
18 200315
19
Fitness Distance Correlation, as statistical measure of Genetic Algorithm difficulty, revisited.
199814
20 200414

About Philippe Collard

Philippe Collard is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Sociology and Political Science and Human-Computer Interaction, having authored 75 papers that have together received 902 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (37 papers), Metaheuristic Optimization Algorithms Research (34 papers), Opinion Dynamics and Social Influence (6 papers), Urban, Neighborhood, and Segregation Studies (4 papers), Complex Network Analysis Techniques (4 papers), Cellular Automata and Applications (4 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Artificial Intelligence (710 citations), Computational Theory and Mathematics (65 citations), Industrial and Manufacturing Engineering (24 citations), Statistical and Nonlinear Physics (25 citations) and Biomedical Engineering (67 citations). Philippe Collard has collaborated with scholars based in France, Switzerland and Italy. Frequent co-authors include Manuel Clergue, Leonardo Vanneschi, Marco Tomassini, Sebástien Vérel, Alessio Gaspar, Yuri Pirola, Michael Defoin Platel, Thierry Baccino, David Simoncini and Giancarlo Mauri. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science, Artificial Life, Evolutionary Computation and Complex Systems.

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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