Florian Yger
Impact in
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Human-Computer Interaction top 1%
- Gaze Tracking and Assistive Technology
Papers in
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- Blind Source Separation Techniques 6
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- EEG and Brain-Computer Interfaces 11
- Neural dynamics and brain function 10
- Functional Brain Connectivity Studies 4
- Co-authors
- Fabien LotteAlain RakotomamonjyMarco CongedoLaurent BougrainMaureen ClercAndrzej CichockiMaxime BérarBenjamin Négrevergne
In The Last Decade
Florian Yger
25 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cognitive Neuroscience 1.6k
- Human-Computer Interaction 310
- Cellular and Molecular Neuroscience 602
- Signal Processing 345
- Experimental and Cognitive Psychology 101
Countries citing papers authored by Florian Yger
This map shows the geographic impact of Florian 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 Florian Yger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Yger more than expected).
Fields of papers citing papers by Florian Yger
This network shows the impact of papers produced by Florian 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 Florian Yger. The network helps show where Florian Yger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Florian 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality | 2023 | 0 |
| 5 | 2023 | 8 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 4 | |
| 11 | Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. | 2019 | 3 |
| 12 | A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update Hit paper breakdown → | 2018 | 1334 |
| 13 | Recognizing Art Style Automatically in Painting with Deep Learning | 2017 | 58 |
| 14 | 2017 | 88 | |
| 15 | 2016 | 39 | |
| 16 | 2016 | 3 | |
| 17 | Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices | 2015 | 6 |
| 18 | 2015 | 8 | |
| 19 | 2011 | 27 | |
| 20 | 2010 | 0 |
About Florian Yger
Florian Yger is a scholar working on Signal Processing, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Algebra and Number Theory and Artificial Intelligence, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (10 papers), Blind Source Separation Techniques (6 papers), Anomaly Detection Techniques and Applications (5 papers), Face and Expression Recognition (4 papers), Functional Brain Connectivity Studies (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Human-Computer Interaction (310 citations), Cellular and Molecular Neuroscience (602 citations), Signal Processing (345 citations) and Experimental and Cognitive Psychology (101 citations). Florian Yger has collaborated with scholars based in France, Japan and Australia. Frequent co-authors include Fabien Lotte, Alain Rakotomamonjy, Marco Congedo, Laurent Bougrain, Maureen Clerc, Andrzej Cichocki, Maxime Bérar, Benjamin Négrevergne, Masashi Sugiyama and Fabrice Soncin. Their work appears in journals such as Machine Learning, Journal of Neural Engineering, Applied Network Science, Pattern Recognition and IEEE Transactions on Neural Systems and Rehabilitation Engineering.
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.