Quentin Barthélemy
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 12
- Neural dynamics and brain function 7
- Signal Processing top 10%
- Blind Source Separation Techniques 8
- Human-Computer Interaction top 10%
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- Attention Deficit Hyperactivity Disorder 2
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- Image and Signal Denoising Methods 3
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- Sparse and Compressive Sensing Techniques 5
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- Neuroscience and Neural Engineering 3
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- Anomaly Detection Techniques and Applications 3
- Co-authors
- Sylvain ChevallierÉric MonacelliLouis MayaudMarco CongedoJérôme I. MarsJérôme MarsKarim DjouaniYskandar Hamam
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- FranceUnited StatesSouth Africa
In The Last Decade
Quentin Barthélemy
24 papers receiving 390 citations
Peers
Comparison fields: 5 of 67
- Cognitive Neuroscience 248
- Signal Processing 94
- Human-Computer Interaction 26
- Psychiatry and Mental health 52
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by Quentin Barthélemy
This map shows the geographic impact of Quentin Barthélemy'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 Quentin Barthélemy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quentin Barthélemy more than expected).
Fields of papers citing papers by Quentin Barthélemy
This network shows the impact of papers produced by Quentin Barthélemy. 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 Quentin Barthélemy. The network helps show where Quentin Barthélemy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Quentin Barthélemy, 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 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 34 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 23 | |
| 11 | 2019 | 40 | |
| 12 | 2019 | 20 | |
| 13 | 2019 | 27 | |
| 14 | 2018 | 13 | |
| 15 | 2017 | 20 | |
| 16 | 2016 | 7 | |
| 17 | 2015 | 26 | |
| 18 | Multivariate Temporal Dictionary Learning for EEG | 2013 | 25 |
| 19 | 2013 | 5 | |
| 20 | 2012 | 31 |
About Quentin Barthélemy
Quentin Barthélemy is a scholar working on Signal Processing, Cognitive Neuroscience and Computational Mechanics, having authored 25 papers that have together received 403 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Blind Source Separation Techniques (8 papers), Neural dynamics and brain function (7 papers), Sparse and Compressive Sensing Techniques (5 papers), Image and Signal Denoising Methods (3 papers), Neuroscience and Neural Engineering (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Attention Deficit Hyperactivity Disorder (2 papers). The work is most often cited by research in Cognitive Neuroscience (248 citations), Signal Processing (94 citations) and Human-Computer Interaction (26 citations). Quentin Barthélemy has collaborated with scholars based in France, United States and South Africa. Frequent co-authors include Sylvain Chevallier, Éric Monacelli, Louis Mayaud, Marco Congedo, Jérôme I. Mars, Jérôme Mars, Karim Djouani, Yskandar Hamam, Cédric Gouy‐Pailler and Richard Delorme. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Image Processing.
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.