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Researcher · La Rochelle Université · France

François Helt

François Helt publishes mostly in Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Industrial and Manufacturing Engineering, on topics such as Color Science and Applications, Advanced Vision and Imaging and Image and Video Quality Assessment.

ORCID 0000-0002-6208-0734 OpenAlex
World rank
#7,012,585
of 7,710,434 ranked researchers
Rank in France
#297,239
of 324,115
Works
20
Citations
58
Citations per work
2.9
h-index
4
i10-index 1Top 94% in Computer Vision and Pattern Recognition
François Helt

What does François Helt research?

François Helt's work is mostly in Computer Science (46%), Physics and Astronomy (17%), Earth and Planetary Sciences (7%).

Physical Sciences: 16 works · 77.8% of their workComputer Science: 9 works · 46.3% of their workComputer Vision and Pattern Recognition: 8 works · 40.7% of their workComputer Graphics and Computer-Aided Design: 1 works · 5.6% of their workPhysics and Astronomy: 3 works · 16.7% of their workAtomic and Molecular Physics, and Optics: 3 works · 16.7% of their workEarth and Planetary Sciences: 1 works · 7.4% of their workGeology: 1 works · 7.4% of their workEngineering: 1 works · 7.4% of their workIndustrial and Manufacturing Engineering: 1 works · 7.4% of their workEverything else: 4 works · 18.5% of their workLife Sciences: 1 works · 3.7% of their workNeuroscience: 1 works · 3.7% of their workCognitive Neuroscience: 1 works · 3.7% of their workTHEIR WORKFrançois Helt20works
Life Sciences4%Physical Sciences78%

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 Science946.3%
    2. Physics and Astronomy316.7%
    3. Earth and Planetary Sciences17.4%
    4. Engineering17.4%
  2. Everything else418.5%
    1. Neuroscience13.7%
  1. 1Computer Vision and Pattern Recognition41% of their works
  2. 2Atomic and Molecular Physics, and Optics17% of their works
  3. 3Industrial and Manufacturing Engineering7% of their works
  4. 4Geology7% of their works
  5. 5Computer Graphics and Computer-Aided Design6% of their works
  6. 6Cognitive Neuroscience4% of their works

Research topics

Which keywords describe François Helt's research?

The keywords of their largest research topics: Deep Learning, Color Constancy, Colorimetry, Depth Estimation, Stereo Vision, Fabric Defect Detection, Image Quality Assessment and Machine Vision.

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 17 words, with their numbers
  1. Deep Learning144 topics
  2. Color Constancy91 topic
  3. Colorimetry91 topic
  4. Depth Estimation61 topic
  5. Stereo Vision61 topic
  6. Fabric Defect Detection41 topic
  7. Image Quality Assessment41 topic
  8. Machine Vision41 topic
  9. Perceptual Quality41 topic
  10. Photogrammetry41 topic
  11. UAV41 topic
  12. Computer Graphics31 topic
  13. Contrast Enhancement31 topic
  14. Dehazing31 topic
  15. Image Denoising31 topic
  16. Sparse Representations31 topic
  17. Visualization31 topic

Where does François Helt work?

François Helt's main affiliation in the publication record is La Rochelle Université, France.

How many publications and citations does François Helt have?

OpenAlex counts 20 works and 58 citations for François Helt, an h-index of 4, ranking #7,012,585 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.

Discussion

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