Rémi Flamary
- Media Technology top 2%
- Remote-Sensing Image Classification 6
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- Face and Expression Recognition 4
- Image and Signal Denoising Methods 3
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning 3
- Signal Processing top 5%
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- Sparse and Compressive Sensing Techniques 7
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- Adaptive optics and wavefront sensing 4
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- Solar and Space Plasma Dynamics 3
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- Remote Sensing and Land Use 3
- Co-authors
- Alain RakotomamonjyNicolas CourtyDevis TuiaStéphane CanuGilles GassoCédric RichardMauro Dalla MuraJosiane Mothe
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Monthly Notices of the Royal Astronomical Society (1 paper)
- Partner nations
- FranceSwitzerlandItaly
In The Last Decade
Rémi Flamary
36 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Media Technology 198
- Computer Vision and Pattern Recognition 412
- Artificial Intelligence 535
- Signal Processing 122
- Computational Mathematics 6
Countries citing papers authored by Rémi Flamary
This map shows the geographic impact of Rémi Flamary'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 Rémi Flamary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémi Flamary more than expected).
Fields of papers citing papers by Rémi Flamary
This network shows the impact of papers produced by Rémi Flamary. 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 Rémi Flamary. The network helps show where Rémi Flamary may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rémi Flamary, 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 | 4 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 15 | |
| 6 | Learning with minibatch Wasserstein : asymptotic and gradient properties | 2020 | 0 |
| 7 | 2020 | 41 | |
| 8 | 2019 | 6 | |
| 9 | 2018 | 28 | |
| 10 | Optimal Transport for structured data. | 2018 | 1 |
| 11 | Optimal Transport for Domain Adaptationbreakdown → | 2016 | 503 |
| 12 | 2016 | 12 | |
| 13 | 2015 | 7 | |
| 14 | 2014 | 4 | |
| 15 | 2014 | 27 | |
| 16 | 2014 | 55 | |
| 17 | 2012 | 46 | |
| 18 | 2011 | 64 | |
| 19 | 2011 | 9 | |
| 20 | 2011 | 27 |
About Rémi Flamary
Rémi Flamary is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Statistics and Probability, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (7 papers), Remote-Sensing Image Classification (6 papers), Adaptive optics and wavefront sensing (4 papers), Face and Expression Recognition (4 papers), Solar and Space Plasma Dynamics (3 papers), Remote Sensing and Land Use (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Media Technology (198 citations), Computer Vision and Pattern Recognition (412 citations) and Artificial Intelligence (535 citations). Rémi Flamary has collaborated with scholars based in France, Switzerland and Italy. Frequent co-authors include Alain Rakotomamonjy, Nicolas Courty, Devis Tuia, Stéphane Canu, Gilles Gasso, Cédric Richard, Mauro Dalla Mura, Josiane Mothe, Sébastien Dejean and Michele Volpi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Monthly Notices of the Royal Astronomical Society.
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.