Jean‐Marc Fellous
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 1%
- Statistical and Nonlinear Physics top 1%
- Co-authors
- Terrence J. SejnowskiLaurenz WiskottC. von der MalsburgPaul TiesingaMichael RudolphAlain DestexheXiao‐Jing WangJohn Lisman
- Topics
- Neural dynamics and brain function (43 papers)Neuroscience and Neuropharmacology Research (33 papers)Memory and Neural Mechanisms (33 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceComputer Vision and Pattern Recognition
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Jean‐Marc Fellous
88 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cognitive Neuroscience 3.5k
- Cellular and Molecular Neuroscience 2.3k
- Computer Vision and Pattern Recognition 2.2k
- Signal Processing 691
- Statistical and Nonlinear Physics 601
Countries citing papers authored by Jean‐Marc Fellous
This map shows the geographic impact of Jean‐Marc Fellous'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‐Marc Fellous with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Marc Fellous more than expected).
Fields of papers citing papers by Jean‐Marc Fellous
This network shows the impact of papers produced by Jean‐Marc Fellous. 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‐Marc Fellous. The network helps show where Jean‐Marc Fellous may publish in the future.
Co-authorship network of co-authors of Jean‐Marc Fellous
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Marc Fellous. A scholar is included among the top collaborators of Jean‐Marc Fellous 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‐Marc Fellous. Jean‐Marc Fellous is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 85 | |
| 6 | 36 | |
| 7 | 28 | |
| 8 | 14 | |
| 9 | 48 | |
| 10 | 11 | |
| 11 | 161 | |
| 12 | Who Needs Emotions: The Brain Meets the Robot (Series in Affective Science) | 13 |
| 13 | 106 | |
| 14 | 125 | |
| 15 | 232 | |
| 16 | 7 | |
| 17 | 28 | |
| 18 | Synchronization as a mechanism for attentional modulation | 3 |
| 19 | 1 | |
| 20 | 62 |
About Jean‐Marc Fellous
Jean‐Marc Fellous is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 90 papers that have together received 6.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (43 papers), Neuroscience and Neuropharmacology Research (33 papers) and Memory and Neural Mechanisms (33 papers). The work is most often cited by research in Cognitive Neuroscience (3.5k citations), Cellular and Molecular Neuroscience (2.3k citations) and Computer Vision and Pattern Recognition (2.2k citations). Jean‐Marc Fellous has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Terrence J. Sejnowski, Laurenz Wiskott, C. von der Malsburg, Paul Tiesinga, Michael Rudolph, Alain Destexhe, Xiao‐Jing Wang, John Lisman, Leslie A. Zebrowitz and Michael A. Arbib. Their work appears in journals such as Science, Journal of Personality and Social Psychology and Journal of Neuroscience.
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.