Stéphane Deny
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
Papers in
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- Neuroscience and Neural Engineering 5
- Neurobiology and Insect Physiology Research 3
- Photoreceptor and optogenetics research 3
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- Neural dynamics and brain function 6
- Visual perception and processing mechanisms 2
- Co-authors
- Olivier Marre (7 shared papers)Serge A. Picaud (3 shared papers)Pierre Yger (2 shared papers)Jens Duebel (2 shared papers)Thierry Mora (2 shared papers)Baptiste Lefebvre (1 shared paper)Günther M. Zeck (1 shared paper)Elric Esposito (1 shared paper)
- Journals
- PLoS Computational Biology (3 papers)Physical Review Letters (1 paper)eLife (1 paper)Nature (1 paper)Physical review. E (1 paper)
- Partner nations
- FranceUnited StatesAustria
In The Last Decade
Stéphane Deny
11 papers receiving 428 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 263
- Cellular and Molecular Neuroscience 224
- Statistical and Nonlinear Physics 33
- Neurology 17
- Biophysics 11
Countries citing papers authored by Stéphane Deny
This map shows the geographic impact of Stéphane Deny'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 Stéphane Deny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Deny more than expected).
Fields of papers citing papers by Stéphane Deny
This network shows the impact of papers produced by Stéphane Deny. 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 Stéphane Deny. The network helps show where Stéphane Deny may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphane Deny, 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 | 2018 | 229 | |
| 2 | 2021 | 68 | |
| 3 | 2015 | 56 | |
| 4 | 2017 | 29 | |
| 5 | 2020 | 26 | |
| 6 | 2018 | 8 | |
| 7 | Barlow Twins: Self-Supervised Learning via Redundancy Reduction | 2021 | 4 |
| 8 | 2023 | 4 | |
| 9 | 2021 | 3 | |
| 10 | Learning stable representations in a changing world with on-line t-SNE: proof of concept in the songbird | 2016 | 3 |
| 11 | 2025 | 1 | |
| 12 | 2018 | 0 |
About Stéphane Deny
Stéphane Deny is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Biology, Biophysics and Media Technology, having authored 12 papers that have together received 431 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (5 papers), Neurobiology and Insect Physiology Research (3 papers), Photoreceptor and optogenetics research (3 papers), Retinal Development and Disorders (2 papers), Visual perception and processing mechanisms (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Animal Vocal Communication and Behavior (1 paper). The work is most often cited by research in Cognitive Neuroscience (263 citations), Cellular and Molecular Neuroscience (224 citations), Statistical and Nonlinear Physics (33 citations), Neurology (17 citations) and Biophysics (11 citations). Stéphane Deny has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Olivier Marre, Serge A. Picaud, Pierre Yger, Jens Duebel, Thierry Mora, Baptiste Lefebvre, Günther M. Zeck, Elric Esposito, Marcel Stimberg and Florian Jetter. Their work appears in journals such as PLoS Computational Biology, Physical Review Letters, eLife, Nature and Physical review. E.
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.