Hugues Bersini
- Artificial Intelligence top 1%
- Neural Networks and Applications 31
- Fuzzy Logic and Control Systems 14
- Evolutionary Algorithms and Applications 13
- Astronomy and Astrophysics top 5%
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- Artificial Immune Systems Applications 15
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- Bioinformatics and Genomic Networks 14
- Gene Regulatory Network Analysis 13
- Gene expression and cancer classification 12
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- ECG Monitoring and Analysis 12
Hugues Bersini
147 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 187
- Artificial Intelligence 1.1k
- Computational Theory and Mathematics 315
- Astronomy and Astrophysics 319
- Statistical and Nonlinear Physics 216
- Control and Systems Engineering 398
Countries citing papers authored by Hugues Bersini
This map shows the geographic impact of Hugues Bersini'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 Hugues Bersini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugues Bersini more than expected).
Fields of papers citing papers by Hugues Bersini
This network shows the impact of papers produced by Hugues Bersini. 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 Hugues Bersini. The network helps show where Hugues Bersini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hugues Bersini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 8 | |
| 8 | Comment définir la vie ? Les réponses de la biologie, de l'intelligence artificielle et de la philosophie des sciences | 2007 | 1 |
| 9 | Emergent phenomena only belong to biology | 2007 | 1 |
| 10 | An interpretative recurrent neural network to improve pattern storing capabilities: dynamical considerations | 2006 | 0 |
| 11 | Learning cycles brings chaos in continuous hopfield networks | 2005 | 5 |
| 12 | Phase synchronization and chaotic dynamics in Hebbian learned artificial recurrent neural networks | 2005 | 1 |
| 13 | Chemical crossover | 2000 | 0 |
| 14 | Lazy Learning Meets the Recursive Least Squares Algorithm | 1998 | 81 |
| 15 | Identification of a sensor model with hybrid neuro-fuzzy methods | 1997 | 2 |
| 16 | Results of the First International Contest on Evolutionary Optimisation | 1996 | 22 |
| 17 | In Search of a Good Evolution-Optimization Crossover. | 1992 | 12 |
| 18 | In search of a good optimization-evolution crossover | 1992 | 7 |
| 19 | The Immune Recruitment Mechanism: A Selective Evolutionary Strategy | 1991 | 71 |
| 20 | Animat's I | 1991 | 2 |
About Hugues Bersini
Hugues Bersini is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 160 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (31 papers), Artificial Immune Systems Applications (15 papers), Fuzzy Logic and Control Systems (14 papers), Bioinformatics and Genomic Networks (14 papers), Evolutionary Algorithms and Applications (13 papers), Gene Regulatory Network Analysis (13 papers), ECG Monitoring and Analysis (12 papers) and Gene expression and cancer classification (12 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computational Theory and Mathematics (315 citations) and Astronomy and Astrophysics (319 citations). Hugues Bersini has collaborated with scholars based in Belgium, France and Japan. Frequent co-authors include Gianluca Bontempi, Mauro Birattari, Colin Molter, Raphaël Plasson, Stijn Meganck, Ann Nowé, Alain Coletta, Jonatan Taminau, David Steenhoff and Robin Duqué. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.
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.