Cédric Gouy‐Pailler
- Signal Processing top 5%
- Blind Source Separation Techniques 6
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 8
- Neural dynamics and brain function 6
- Human-Computer Interaction top 10%
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data 8
- Cryptography and Data Security 6
- Internet Traffic Analysis and Secure E-voting 3
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- Spectroscopy and Chemometric Analyses 3
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- Transplantation: Methods and Outcomes 3
- Co-authors
- Marco CongedoChristian JuttenClemens BrunnerG. PfurtschellerReza SameniRenaud SirdeyAurélien MayoueSophie Achard
- Journals
- IEEE Transactions on Biomedical Engineering (1 paper)Clinical Neurophysiology (1 paper)Machine Learning (2 papers)
- Partner nations
- FranceUnited KingdomAustria
In The Last Decade
Cédric Gouy‐Pailler
28 papers receiving 378 citations
Peers
Comparison fields: 5 of 66
- Signal Processing 152
- Cognitive Neuroscience 216
- Human-Computer Interaction 28
- Artificial Intelligence 104
- Cellular and Molecular Neuroscience 45
Countries citing papers authored by Cédric Gouy‐Pailler
This map shows the geographic impact of Cédric Gouy‐Pailler'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 Cédric Gouy‐Pailler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cédric Gouy‐Pailler more than expected).
Fields of papers citing papers by Cédric Gouy‐Pailler
This network shows the impact of papers produced by Cédric Gouy‐Pailler. 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 Cédric Gouy‐Pailler. The network helps show where Cédric Gouy‐Pailler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cédric Gouy‐Pailler, 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 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 45 | |
| 8 | 2020 | 3 | |
| 9 | Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. | 2019 | 3 |
| 10 | 2018 | 6 | |
| 11 | 2016 | 7 | |
| 12 | 2014 | 17 | |
| 13 | 2014 | 32 | |
| 14 | Multivariate Temporal Dictionary Learning for EEG | 2013 | 25 |
| 15 | 2011 | 3 | |
| 16 | Non-stationary brain source separation for multi-class motor imagery | 2010 | 2 |
| 17 | 2010 | 1 | |
| 18 | 2009 | 83 | |
| 19 | 2008 | 93 | |
| 20 | 2007 | 9 |
About Cédric Gouy‐Pailler
Cédric Gouy‐Pailler is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence, having authored 29 papers that have together received 387 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Privacy-Preserving Technologies in Data (8 papers), Neural dynamics and brain function (6 papers), Blind Source Separation Techniques (6 papers), Cryptography and Data Security (6 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Transplantation: Methods and Outcomes (3 papers). The work is most often cited by research in Signal Processing (152 citations), Cognitive Neuroscience (216 citations) and Human-Computer Interaction (28 citations). Cédric Gouy‐Pailler has collaborated with scholars based in France, United Kingdom and Austria. Frequent co-authors include Marco Congedo, Christian Jutten, Clemens Brunner, G. Pfurtscheller, Reza Sameni, Renaud Sirdey, Aurélien Mayoue, Sophie Achard, Antoine Souloumiac and Quentin Barthélemy. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Clinical Neurophysiology and Machine Learning.
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.