Isabelle Guyon
Impact in
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Advanced Clustering Algorithms Research
- Bayesian Methods and Mixture Models
- Signal Processing top 5%
Papers in
-
- Neural Networks and Applications 6
- Fuzzy Logic and Control Systems 3
- Bayesian Modeling and Causal Inference 1
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- Mobile Crowdsensing and Crowdsourcing 1
- Co-authors
- Asa Ben‐HurAndré ElisseeffL. PersonnazGérard DreyfusRobert C. WilliamsonUlrike von LuxburgDouglas P. HardinAlexander Statnikov
- Journals
- Energy and AI (1 paper)Europhysics Letters (EPL) (1 paper)Physical review. A, General physics (2 papers)PubMed (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Isabelle Guyon
14 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 661
- Signal Processing 125
- Statistical and Nonlinear Physics 118
- Computer Vision and Pattern Recognition 177
- Cognitive Neuroscience 139
Countries citing papers authored by Isabelle Guyon
This map shows the geographic impact of Isabelle Guyon'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 Isabelle Guyon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle Guyon more than expected).
Fields of papers citing papers by Isabelle Guyon
This network shows the impact of papers produced by Isabelle Guyon. 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 Isabelle Guyon. The network helps show where Isabelle Guyon may publish in the future.
Co-authors
The 25 scholars most cited alongside Isabelle Guyon, 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 | 0 | |
| 2 | 2020 | 6 | |
| 3 | Clustering: Science or Art? | 2011 | 69 |
| 4 | 2011 | 10 | |
| 5 | 2011 | 69 | |
| 6 | Clustering: Science or Art? | 2009 | 46 |
| 7 | Proceedings of the 2011 International Conference on KDD Cup 2011 - Volume 18 | 2009 | 5 |
| 8 | Causality: Objectives and assessment | 2008 | 36 |
| 9 | 2003 | 182 | |
| 10 | 2001 | 364 | |
| 11 | Neural Network Implementation of Admission Control | 1990 | 6 |
| 12 | 1988 | 55 | |
| 13 | 1987 | 38 | |
| 14 | High Order Neural Networks for Efficient Associative Memory Design | 1987 | 6 |
| 15 | 1986 | 210 |
About Isabelle Guyon
Isabelle Guyon is a scholar working on Artificial Intelligence, Computer Science Applications, Cognitive Neuroscience, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Fuzzy Logic and Control Systems (3 papers), Neural dynamics and brain function (2 papers), Advanced Memory and Neural Computing (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Mobile Crowdsensing and Crowdsourcing (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Artificial Intelligence (661 citations), Signal Processing (125 citations), Statistical and Nonlinear Physics (118 citations), Computer Vision and Pattern Recognition (177 citations) and Cognitive Neuroscience (139 citations). Isabelle Guyon has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Asa Ben‐Hur, André Elisseeff, L. Personnaz, Gérard Dreyfus, Robert C. Williamson, Ulrike von Luxburg, Douglas P. Hardin, Alexander Statnikov, Constantin Aliferis and Jean‐Pierre Nadal. Their work appears in journals such as Energy and AI, Europhysics Letters (EPL), Physical review. A, General physics, PubMed and Neural Information Processing 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.