Pierre Yger
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 22
- Functional Brain Connectivity Studies 7
- EEG and Brain-Computer Interfaces 4
- Visual perception and processing mechanisms 3
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- Neuroscience and Neural Engineering 14
- Photoreceptor and optogenetics research 4
- Co-authors
- Christian BarillotPierrick CoupéOlivier MarreBaptiste LefebvreMatthieu GilsonMarcel StimbergYves FrégnacSamuel Garcia
- Journals
- Journal of Neuroscience (4 papers)Journal of Computational Neuroscience (4 papers)BMC Neuroscience (2 papers)Frontiers in Neuroinformatics (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Pierre Yger
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Cognitive Neuroscience 650
- Cellular and Molecular Neuroscience 470
- Media Technology 86
- Computer Vision and Pattern Recognition 167
- Computational Mathematics 4
Countries citing papers authored by Pierre Yger
This map shows the geographic impact of Pierre Yger'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 Pierre Yger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Yger more than expected).
Fields of papers citing papers by Pierre Yger
This network shows the impact of papers produced by Pierre Yger. 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 Pierre Yger. The network helps show where Pierre Yger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pierre Yger, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 36 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 25 | |
| 9 | 2018 | 221 | |
| 10 | 2017 | 27 | |
| 11 | 2016 | 2 | |
| 12 | 2016 | 46 | |
| 13 | 2016 | 3 | |
| 14 | 2015 | 19 | |
| 15 | 2015 | 57 | |
| 16 | 2014 | 94 | |
| 17 | 2014 | 1 | |
| 18 | 2012 | 22 | |
| 19 | 2009 | 24 | |
| 20 | 2006 | 138 |
About Pierre Yger
Pierre Yger is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Media Technology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (22 papers), Neuroscience and Neural Engineering (14 papers), Advanced Memory and Neural Computing (13 papers), Functional Brain Connectivity Studies (7 papers), Photoreceptor and optogenetics research (4 papers), Retinal Development and Disorders (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Visual perception and processing mechanisms (3 papers). The work is most often cited by research in Cognitive Neuroscience (650 citations), Cellular and Molecular Neuroscience (470 citations), Media Technology (86 citations), Computer Vision and Pattern Recognition (167 citations) and Computational Mathematics (4 citations). Pierre Yger has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Christian Barillot, Pierrick Coupé, Olivier Marre, Baptiste Lefebvre, Matthieu Gilson, Marcel Stimberg, Yves Frégnac, Samuel Garcia, Stéphane Deny and Serge Picaud. Their work appears in journals such as Journal of Neuroscience, Journal of Computational Neuroscience, BMC Neuroscience, Frontiers in Neuroinformatics and PLoS Computational Biology.
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.