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Researcher · Institut national de recherche en sciences et technologies du numérique · France

Rémi Gribonval

Rémi Gribonval publishes mostly in Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, on topics such as Sparse and Compressive Sensing Techniques, Blind Source Separation Techniques and Speech and Audio Processing.

ORCID 0000-0002-9450-8125 OpenAlex
World rank
#459,652
of 7,710,434 ranked researchers
Rank in France
#24,409
of 324,115
Works
483
Citations
16k
Citations per work
32.8
h-index
55
i10-index 159Top 0.4% in Signal Processing
Rémi Gribonval

What does Rémi Gribonval research?

Rémi Gribonval's work is mostly in Computer Science (48%), Engineering (23%).

Physical Sciences: 341 works · 70.7% of their workComputer Science: 232 works · 48.1% of their workSignal Processing: 117 works · 24.2% of their workComputer Vision and Pattern Recognition: 60 works · 12.5% of their workArtificial Intelligence: 55 works · 11.4% of their workEngineering: 109 works · 22.6% of their workComputational Mechanics: 77 works · 15.9% of their workBiomedical Engineering: 18 works · 3.7% of their workElectrical and Electronic Engineering: 14 works · 3.0% of their workEverything else: 142 works · 29.3% of their workTHEIR WORKRémi Gribonval483works
Physical Sciences71%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science23248.1%
    2. Engineering10922.6%
  2. Everything else14229.3%
  1. 1Signal Processing24% of their works
  2. 2Computational Mechanics16% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Artificial Intelligence11% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe Rémi Gribonval's research?

The keywords of their largest research topics: Sparse Representation, Deep Learning, Compressed Sensing, Signal Recovery, Neural Networks, Blind Separation, Independent Component Analysis and Convolutional Neural Networks.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 20 words, with their numbers
  1. Sparse Representation3032 topics
  2. Deep Learning2734 topics
  3. Compressed Sensing1691 topic
  4. Signal Recovery1691 topic
  5. Neural Networks1462 topics
  6. Blind Separation1341 topic
  7. Independent Component Analysis1341 topic
  8. Convolutional Neural Networks1272 topics
  9. Audio-Visual Speech Recognition1221 topic
  10. Speech Enhancement1221 topic
  11. Image Denoising841 topic
  12. Sparse Representations841 topic
  13. Audio Signal Classification431 topic
  14. Music Information Retrieval431 topic
  15. Adaptive Filtering301 topic
  16. Non-Gaussian Signal Processing301 topic
  17. Frames251 topic
  18. Wavelets251 topic
  19. Backpropagation Learning241 topic
  20. Self-Organizing Maps241 topic

Where does Rémi Gribonval work?

Rémi Gribonval's main affiliation in the publication record is Institut national de recherche en sciences et technologies du numérique, France.

How many publications and citations does Rémi Gribonval have?

OpenAlex counts 483 works and 15,863 citations for Rémi Gribonval, an h-index of 55, ranking #459,652 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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