Stéphane Deny

1.7k total citations
12 papers, 406 citations indexed

About

Stéphane Deny is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Stéphane Deny has authored 12 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Stéphane Deny's work include Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (4 papers) and Photoreceptor and optogenetics research (3 papers). Stéphane Deny is often cited by papers focused on Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (4 papers) and Photoreceptor and optogenetics research (3 papers). Stéphane Deny collaborates with scholars based in France, United States and Austria. Stéphane Deny's co-authors include Olivier Marre, Serge Picaud, Pierre Yger, Jens Duebel, Marcel Stimberg, Günther Zeck, Elric Esposito, Christophe Gardella, Florian Jetter and Baptiste Lefebvre and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Stéphane Deny

11 papers receiving 404 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stéphane Deny France 7 266 235 110 61 29 12 406
Alex H. Williams United States 9 324 1.2× 253 1.1× 110 1.0× 44 0.7× 57 2.0× 18 512
David C. Sterratt United Kingdom 8 158 0.6× 157 0.7× 118 1.1× 57 0.9× 30 1.0× 18 366
Guy Eyal Israel 6 371 1.4× 335 1.4× 102 0.9× 64 1.0× 20 0.7× 6 528
Cian O’Donnell United Kingdom 11 322 1.2× 304 1.3× 120 1.1× 57 0.9× 24 0.8× 23 480
Stephen Carcieri United States 8 253 1.0× 251 1.1× 123 1.1× 34 0.6× 30 1.0× 8 431
Srikanth Ramaswamy Switzerland 14 423 1.6× 350 1.5× 146 1.3× 84 1.4× 27 0.9× 25 636
Haroon Anwar United States 8 281 1.1× 140 0.6× 45 0.4× 42 0.7× 18 0.6× 14 379
Michael Krumin United Kingdom 9 445 1.7× 316 1.3× 95 0.9× 30 0.5× 25 0.9× 10 545
Rodrigo F. Oliveira Brazil 13 246 0.9× 223 0.9× 191 1.7× 40 0.7× 20 0.7× 31 538
Etay Hay Canada 8 332 1.2× 249 1.1× 58 0.5× 75 1.2× 11 0.4× 15 391

Countries citing papers authored by Stéphane Deny

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Stéphane Deny

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Deny. A scholar is included among the top collaborators of Stéphane Deny 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 Stéphane Deny. Stéphane Deny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Deny, Stéphane, et al.. (2023). Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 160–168. 4 indexed citations
3.
Deny, Stéphane, et al.. (2021). Predicting synchronous firing of large neural populations from sequential recordings. PLoS Computational Biology. 17(1). e1008501–e1008501. 2 indexed citations
4.
Žbontar, Jure, Jing Li, Ishan Misra, Yann LeCun, & Stéphane Deny. (2021). Barlow Twins: Self-Supervised Learning via Redundancy Reduction. International Conference on Machine Learning. 12310–12320. 3 indexed citations
5.
Mann, Kevin, Stéphane Deny, Surya Ganguli, & Thomas R. Clandinin. (2021). Coupling of activity, metabolism and behaviour across the Drosophila brain. Nature. 593(7858). 244–248. 60 indexed citations
6.
Ferrari, Ulisse, Stéphane Deny, Abhishek Sengupta, et al.. (2020). Towards optogenetic vision restoration with high resolution. PLoS Computational Biology. 16(7). e1007857–e1007857. 25 indexed citations
7.
Yger, Pierre, Elric Esposito, Baptiste Lefebvre, et al.. (2018). A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo. eLife. 7. 221 indexed citations
8.
Ocko, Samuel A., Jack Lindsey, Surya Ganguli, & Stéphane Deny. (2018). The emergence of multiple retinal cell types through efficient coding of natural movies. bioRxiv (Cold Spring Harbor Laboratory). 31. 9389–9400. 8 indexed citations
9.
Ferrari, Ulisse, Stéphane Deny, Matthew Chalk, et al.. (2018). Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons. Physical review. E. 98(4). 7 indexed citations
10.
Deny, Stéphane, Ulisse Ferrari, Émilie Macé, et al.. (2017). Multiplexed computations in retinal ganglion cells of a single type. Nature Communications. 8(1). 1964–1964. 27 indexed citations
11.
Deny, Stéphane, Emily L. Mackevicius, Tatsuo S. Okubo, et al.. (2016). Learning stable representations in a changing world with on-line t-SNE: proof of concept in the songbird. 3 indexed citations
12.
Mora, Thierry, Stéphane Deny, & Olivier Marre. (2015). Dynamical Criticality in the Collective Activity of a Population of Retinal Neurons. Physical Review Letters. 114(7). 78105–78105. 46 indexed citations

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.

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