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Researcher · University of French Polynesia · French Polynesia

Sébastien Chabrier

Sébastien Chabrier publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, on topics such as Image Retrieval and Classification Techniques, Medical Image Segmentation Techniques and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0003-2658-5433 OpenAlex
World rank
#3,820,264
of 7,710,434 ranked researchers
Rank in French Polynesia
#89
of 203
Works
56
Citations
591
Citations per work
10.6
h-index
13
i10-index 13Top 30% in Computer Vision and Pattern Recognition
Sébastien Chabrier

What does Sébastien Chabrier research?

Sébastien Chabrier's work is mostly in Computer Science (43%), Engineering (7%), Arts and Humanities (5%).

Physical Sciences: 32 works · 57.2% of their workComputer Science: 24 works · 42.8% of their workComputer Vision and Pattern Recognition: 20 works · 36.6% of their workArtificial Intelligence: 3 works · 6.2% of their workEngineering: 4 works · 6.9% of their workMedia Technology: 4 works · 6.9% of their workEnvironmental Science: 2 works · 4.1% of their workEcology: 2 works · 4.1% of their workMaterials Science: 2 works · 3.4% of their workBiomaterials: 2 works · 3.4% of their workEverything else: 21 works · 38.0% of their workSocial Sciences: 3 works · 4.8% of their workArts and Humanities: 3 works · 4.8% of their workArcheology: 3 works · 4.8% of their workTHEIR WORKSébastienChabrier56works
Physical Sciences57%Social Sciences5%

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 Science2442.8%
    2. Engineering46.9%
    3. Environmental Science24.1%
    4. Materials Science23.4%
  2. Everything else2138.0%
    1. Arts and Humanities34.8%
  1. 1Computer Vision and Pattern Recognition37% of their works
  2. 2Media Technology7% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Archeology5% of their works
  5. 5Ecology4% of their works
  6. 6Biomaterials3% of their works

Research topics

Which keywords describe Sébastien Chabrier's research?

The keywords of their largest research topics: Deep Learning, Content-Based Image Retrieval, Shape Matching, Image Segmentation, Medical Image Analysis, Hyperspectral, Remote Sensing and Feature Matching.

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 19 words, with their numbers
  1. Deep Learning313 topics
  2. Content-Based Image Retrieval191 topic
  3. Shape Matching191 topic
  4. Image Segmentation181 topic
  5. Medical Image Analysis181 topic
  6. Hyperspectral102 topics
  7. Remote Sensing102 topics
  8. Feature Matching91 topic
  9. Local Descriptors91 topic
  10. Image Fusion61 topic
  11. Multispectral61 topic
  12. Bioinspired Materials51 topic
  13. Biomineralization51 topic
  14. Raman Spectroscopy51 topic
  15. X-Ray Fluorescence51 topic
  16. Camouflage41 topic
  17. Cephalopods41 topic
  18. Classification41 topic
  19. Image Analysis41 topic

Where does Sébastien Chabrier work?

Sébastien Chabrier's main affiliation in the publication record is University of French Polynesia, French Polynesia.

How many publications and citations does Sébastien Chabrier have?

OpenAlex counts 56 works and 591 citations for Sébastien Chabrier, an h-index of 13, ranking #3,820,264 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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