Manuel Clergue

594 citations
10 papers · 110 · h-index 5

Impact in

Papers in

    • Metaheuristic Optimization Algorithms Research 7
    • Evolutionary Algorithms and Applications 6
    • Fuzzy Logic and Control Systems 1
    • Algorithms and Data Compression 1
    • Machine Learning and Data Classification 1
    • Cellular Automata and Applications 2
    • Advanced Multi-Objective Optimization Algorithms 1

Manuel Clergue

7 papers receiving 106 citations

Peers

Manuel Clergue
Comparison fields: 5 of 29
  • Artificial Intelligence 94
  • Computational Theory and Mathematics 32
  • Genetics 22
  • Management Science and Operations Research 3
  • Molecular Biology 16
Replace Anita Pasotti with:
Anita Pasotti Italy
Yuto Nakashima Japan
Morgan Magnin France
Will Smart New Zealand
Christian Mouchet Switzerland
Victor Mitrana Spain
Soonho Kong United States
Michael Dom Germany
Robert Mercaş Germany
Felix Reidl Germany
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Citations per field
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Citations per year

Countries citing papers authored by Manuel Clergue

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Clergue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Manuel Clergue, 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 Manuel Clergue Line = papers co-authored together Manuel Clergue links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200572
2
Fitness Distance Correlation And Problem Difficulty For Genetic Programming
200215
3
Fitness Distance Correlation, as statistical measure of Genetic Algorithm difficulty, revisited.
19988
4 20116
5 20034
6 19973
7 20031
8 20181
9
How to use the scuba diving metaphor to solve problem with neutrality
20040
10 20230

About Manuel Clergue

Manuel Clergue is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Genetics and Sociology and Political Science, having authored 10 papers that have together received 110 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Evolutionary Algorithms and Applications (6 papers), Evolution and Genetic Dynamics (2 papers), Cellular Automata and Applications (2 papers), Fuzzy Logic and Control Systems (1 paper), Algorithms and Data Compression (1 paper), Machine Learning and Data Classification (1 paper) and Advanced Multi-Objective Optimization Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (94 citations), Computational Theory and Mathematics (32 citations), Genetics (22 citations), Management Science and Operations Research (3 citations) and Molecular Biology (16 citations). Manuel Clergue has collaborated with scholars based in France and Switzerland. Frequent co-authors include Philippe Collard, Leonardo Vanneschi, Marco Tomassini, David Simoncini, Sebástien Vérel, Olivier Michel, Jin‐Kao Hao and Enrico Formenti. Their work appears in journals such as Applied Soft Computing, Evolutionary Computation, International Journal of Artificial Intelligence Tools, HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).

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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