Jean‐Pierre Nadal
- Artificial Intelligence top 0.5%
- Cognitive Neuroscience top 1%
- Statistical and Nonlinear Physics top 0.5%
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Néstor PargaMarc MézardNicolas BrunelG. ToulouseVincent HakimStanislas DehaeneGuillaume DeffuantJ. Vannimenus
- Topics
- Neural Networks and Applications (46 papers)Neural dynamics and brain function (28 papers)Blind Source Separation Techniques (15 papers)
In The Last Decade
Jean‐Pierre Nadal
102 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 1.5k
- Cognitive Neuroscience 1.3k
- Statistical and Nonlinear Physics 813
- Electrical and Electronic Engineering 453
- Cellular and Molecular Neuroscience 426
Countries citing papers authored by Jean‐Pierre Nadal
This map shows the geographic impact of Jean‐Pierre Nadal'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 Jean‐Pierre Nadal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Pierre Nadal more than expected).
Fields of papers citing papers by Jean‐Pierre Nadal
This network shows the impact of papers produced by Jean‐Pierre Nadal. 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 Jean‐Pierre Nadal. The network helps show where Jean‐Pierre Nadal may publish in the future.
Co-authorship network of co-authors of Jean‐Pierre Nadal
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Nadal. A scholar is included among the top collaborators of Jean‐Pierre Nadal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Pierre Nadal. Jean‐Pierre Nadal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 30 | |
| 4 | 33 | |
| 5 | 6 | |
| 6 | 28 | |
| 7 | Modélisation des systèmes complexes | 2 |
| 8 | 124 | |
| 9 | 1 | |
| 10 | 197 | |
| 11 | Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors | 35 |
| 12 | 8 | |
| 13 | 18 | |
| 14 | Unsupervised and Supervised Clustering: The Mutual Information between Parameters and Observations | 2 |
| 15 | 5 | |
| 16 | I.C.A.: conditions on cumulants and information theoretic approach. | 1 |
| 17 | Optimal tuning curves for neurons spiking as a Poisson process. | 1 |
| 18 | Self-similarity Properties of Natural Images | 14 |
| 19 | Unlimited accuracy in layered networks | 2 |
| 20 | Basins of attraction in a perceptron-like neural network | 22 |
About Jean‐Pierre Nadal
Jean‐Pierre Nadal is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Signal Processing, having authored 107 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (46 papers), Neural dynamics and brain function (28 papers) and Blind Source Separation Techniques (15 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Statistical and Nonlinear Physics (813 citations) and Artificial Intelligence (1.5k citations). Jean‐Pierre Nadal has collaborated with scholars based in France, Spain and Italy. Frequent co-authors include Néstor Parga, Marc Mézard, Nicolas Brunel, G. Toulouse, Vincent Hakim, Stanislas Dehaene, Guillaume Deffuant, Nicolas Brunel, J. Vannimenus and Gérard Weisbuch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Neuron.
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.