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 4
- Photoreceptor and optogenetics research 3
- Neurobiology and Insect Physiology Research 3
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- Neural dynamics and brain function 6
- Visual perception and processing mechanisms 2
- Co-authors
- Olivier Marre (6 shared papers)Serge Picaud (3 shared papers)Pierre Yger (2 shared papers)Jens Duebel (2 shared papers)Florian Jetter (1 shared paper)Marcel Stimberg (1 shared paper)Günther Zeck (1 shared paper)Christophe Gardella (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Nature Communications (1 paper)eLife (1 paper)Nature (1 paper)Physical Review Letters (1 paper)
- Partner nations
- FranceUnited StatesFinland
In The Last Decade
Stéphane Deny
11 papers receiving 404 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 266
- Cellular and Molecular Neuroscience 235
- Statistical and Nonlinear Physics 26
- Biophysics 12
- Neurology 15
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 | 221 | |
| 2 | 2021 | 60 | |
| 3 | 2015 | 46 | |
| 4 | 2017 | 27 | |
| 5 | 2020 | 25 | |
| 6 | 2018 | 8 | |
| 7 | 2018 | 7 | |
| 8 | 2023 | 4 | |
| 9 | Barlow Twins: Self-Supervised Learning via Redundancy Reduction | 2021 | 3 |
| 10 | Learning stable representations in a changing world with on-line t-SNE: proof of concept in the songbird | 2016 | 3 |
| 11 | 2021 | 2 | |
| 12 | 2025 | 0 |
About Stéphane Deny
Stéphane Deny is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Developmental Biology and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 406 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (4 papers), Photoreceptor and optogenetics research (3 papers), Retinal Development and Disorders (3 papers), Neurobiology and Insect Physiology Research (3 papers), Visual perception and processing mechanisms (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Animal Vocal Communication and Behavior (1 paper). The work is most often cited by research in Cognitive Neuroscience (266 citations), Cellular and Molecular Neuroscience (235 citations), Statistical and Nonlinear Physics (26 citations), Biophysics (12 citations) and Neurology (15 citations). Stéphane Deny has collaborated with scholars based in France, United States and Finland. Frequent co-authors include Olivier Marre, Serge Picaud, Pierre Yger, Jens Duebel, Florian Jetter, Marcel Stimberg, Günther Zeck, Christophe Gardella, Baptiste Lefebvre and Elric Esposito. Their work appears in journals such as PLoS Computational Biology, Nature Communications, eLife, Nature and Physical Review Letters.
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.