Jean‐Claude Fort
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 5%
- Psychiatry and Mental health top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Gilles PagèsM. Patrick CottrellMarie CottrellJérémie ParienteMichèle PuelJean-Albert LotteriePierre CelsisJean‐François Démonet
- Topics
- Neural Networks and Applications (16 papers)Statistical Methods and Inference (6 papers)Image and Signal Denoising Methods (4 papers)
In The Last Decade
Jean‐Claude Fort
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 505
- Cognitive Neuroscience 222
- Computer Vision and Pattern Recognition 197
- Psychiatry and Mental health 184
- Management Science and Operations Research 135
Countries citing papers authored by Jean‐Claude Fort
This map shows the geographic impact of Jean‐Claude Fort'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‐Claude Fort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Claude Fort more than expected).
Fields of papers citing papers by Jean‐Claude Fort
This network shows the impact of papers produced by Jean‐Claude Fort. 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‐Claude Fort. The network helps show where Jean‐Claude Fort may publish in the future.
Co-authorship network of co-authors of Jean‐Claude Fort
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Claude Fort. A scholar is included among the top collaborators of Jean‐Claude Fort 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‐Claude Fort. Jean‐Claude Fort is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 313 | |
| 6 | 28 | |
| 7 | 33 | |
| 8 | 12 | |
| 9 | 18 | |
| 10 | 11 | |
| 11 | Almost sure convergence of the one-dimensional Kohonen algorithm. | 7 |
| 12 | 17 | |
| 13 | 27 | |
| 14 | 1 | |
| 15 | A non linear Kohonen algorithm. | 5 |
| 16 | Two or three things that we know about the Kohonen algorithm. | 38 |
| 17 | 8 | |
| 18 | 88 | |
| 19 | Etude d'un processus d'auto-organisation | 40 |
| 20 | 157 |
About Jean‐Claude Fort
Jean‐Claude Fort is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (16 papers), Statistical Methods and Inference (6 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Artificial Intelligence (505 citations), Signal Processing (133 citations) and Statistics and Probability (101 citations). Jean‐Claude Fort has collaborated with scholars based in France, Belgium and Canada. Frequent co-authors include Gilles Pagès, M. Patrick Cottrell, Marie Cottrell, Jérémie Pariente, Michèle Puel, Jean-Albert Lotterie, Pierre Celsis, Jean‐François Démonet, Florent Aubry and I. Berry. Their work appears in journals such as Brain, IEEE Transactions on Automatic Control and Neurocomputing.
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.