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Researcher · Walt Disney (United States) · United States

Fabrice Rousselle

Fabrice Rousselle publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics, on topics such as Computer Graphics and Visualization Techniques, Advanced Vision and Imaging and Image and Signal Denoising Methods.

ORCID 0009-0003-2978-2130 OpenAlex
World rank
#351,938
of 7,710,434 ranked researchers
Rank in United States
#126,161
of 1,627,098
Works
45
Citations
1.6k
Citations per work
34.8
h-index
17
i10-index 22Top 18% in Computer Vision and Pattern Recognition
Fabrice Rousselle

What does Fabrice Rousselle research?

Fabrice Rousselle's work is mostly in Computer Science (69%), Engineering (16%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 38 works · 84.7% of their workComputer Science: 31 works · 68.6% of their workComputer Vision and Pattern Recognition: 21 works · 46.0% of their workComputer Graphics and Computer-Aided Design: 10 works · 22.6% of their workEngineering: 7 works · 16.1% of their workComputational Mechanics: 5 works · 12.1% of their workMedia Technology: 1 works · 2.4% of their workAerospace Engineering: 1 works · 1.6% of their workEverything else: 6 works · 13.7% of their workLife Sciences: 1 works · 1.6% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 1.6% of their workBiophysics: 1 works · 1.6% of their workTHEIR WORKFabrice Rousselle45works
Life Sciences2%Physical Sciences85%

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 Science3168.6%
    2. Engineering716.1%
  2. Everything else613.7%
    1. Biochemistry, Genetics and Molecular Biology11.6%
  1. 1Computer Vision and Pattern Recognition46% of their works
  2. 2Computer Graphics and Computer-Aided Design23% of their works
  3. 3Computational Mechanics12% of their works
  4. 4Media Technology2% of their works
  5. 5Biophysics2% of their works
  6. 6Aerospace Engineering2% of their works

Research topics

Which keywords describe Fabrice Rousselle's research?

The keywords of their largest research topics: Deep Learning, Computer Graphics, Unsupervised Learning, Visualization, Convolutional Networks, Depth Estimation, Stereo Vision and Generative Adversarial 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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 23 words, with their numbers
  1. Deep Learning435 topics
  2. Computer Graphics281 topic
  3. Unsupervised Learning282 topics
  4. Visualization281 topic
  5. Convolutional Networks242 topics
  6. Depth Estimation181 topic
  7. Stereo Vision181 topic
  8. Generative Adversarial Networks162 topics
  9. Neural Networks162 topics
  10. Wavelet Transform152 topics
  11. 3D Reconstruction121 topic
  12. Image Denoising121 topic
  13. Point Clouds121 topic
  14. Sparse Representations121 topic
  15. Image Inpainting101 topic
  16. Image Synthesis101 topic
  17. Sparse Representation92 topics
  18. Image61 topic
  19. Super-Resolution61 topic
  20. Contrast Enhancement31 topic
  21. Dehazing31 topic
  22. Image Fusion31 topic
  23. Multispectral31 topic

Where does Fabrice Rousselle work?

Fabrice Rousselle's main affiliation in the publication record is Walt Disney (United States), United States.

How many publications and citations does Fabrice Rousselle have?

OpenAlex counts 45 works and 1,565 citations for Fabrice Rousselle, an h-index of 17, ranking #351,938 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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