Rémi Flamary

3.6k citations
39 papers · 1.2k indexed · 1 hit paper · h-index 16

Rémi Flamary

36 papers receiving 1.2k citations

Hit Papers

Optimal Transport for Domain Adaptation5032016202620192022100200300400500

Peers

Rémi Flamary
Comparison fields: 5 of 117
  • Media Technology 198
  • Computer Vision and Pattern Recognition 412
  • Artificial Intelligence 535
  • Signal Processing 122
  • Computational Mathematics 6
Replace Nicolas Courty with:
Nicolas Courty France
Konstantinos Koutroumbas Greece
Fabrice Heitz France
Shinichi Nakajima Japan
Jyri Kivinen United Kingdom
Olivier Delalleau Canada
Tim Salimans United States
David K. Hammond United States
Genevieve Orr United States
Joseph F. Murray United States
Rémi Flamary relative to Nicolas Courty France Nicolas Courty's profile →
Citations per field
00.5×1.5×
Nicolas Courty · 1×
Citations per year

Countries citing papers authored by Rémi Flamary

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rémi Flamary Line = papers co-authored together Rémi Flamary links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20244
3 202310
4 20233
5 202115
6
Learning with minibatch Wasserstein : asymptotic and gradient properties
20200
7 202041
8 20196
9 201828
10
Optimal Transport for structured data.
20181
11
Optimal Transport for Domain Adaptationbreakdown →
2016503
12 201612
13 20157
14 20144
15 201427
16 201455
17 201246
18 201164
19 20119
20 201127

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.

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