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Researcher · IRT M2P · France

Lionel Daniel

Lionel Daniel publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Bayesian Modeling and Causal Inference, Face and Expression Recognition and Face recognition and analysis.

OpenAlex
World rank
#6,440,715
of 7,710,434 ranked researchers
Rank in France
#275,551
of 324,115
Works
15
Citations
78
Citations per work
5.2
h-index
4
i10-index 3Top 94% in Computer Vision and Pattern Recognition
Lionel Daniel

What does Lionel Daniel research?

Lionel Daniel's work is mostly in Computer Science (57%), Engineering (20%), Social Sciences (6%).

Physical Sciences: 12 works · 77.2% of their workComputer Science: 9 works · 57.2% of their workComputer Vision and Pattern Recognition: 4 works · 25.7% of their workArtificial Intelligence: 3 works · 22.9% of their workSignal Processing: 1 works · 8.6% of their workEngineering: 3 works · 20.0% of their workElectrical and Electronic Engineering: 2 works · 11.4% of their workAerospace Engineering: 1 works · 8.6% of their workEverything else: 3 works · 17.1% of their workSocial Sciences: 1 works · 5.7% of their workSocial Sciences: 1 works · 5.7% of their workSociology and Political Science: 1 works · 5.7% of their workTHEIR WORKLionel Daniel15works
Physical Sciences77%Social Sciences6%

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 Science957.2%
    2. Engineering320.0%
  2. Everything else317.1%
    1. Social Sciences15.7%
  1. 1Computer Vision and Pattern Recognition26% of their works
  2. 2Artificial Intelligence23% of their works
  3. 3Electrical and Electronic Engineering11% of their works
  4. 4Aerospace Engineering9% of their works
  5. 5Signal Processing9% of their works
  6. 6Sociology and Political Science6% of their works

Research topics

Which keywords describe Lionel Daniel's research?

The keywords of their largest research topics: Face Recognition, Bayesian Networks, Biometric Recognition, Causal Inference, Deep Learning, Dimensionality Reduction, Facial Landmark Detection and Feature Selection.

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. Face Recognition62 topics
  2. Bayesian Networks31 topic
  3. Biometric Recognition31 topic
  4. Causal Inference31 topic
  5. Deep Learning31 topic
  6. Dimensionality Reduction31 topic
  7. Facial Landmark Detection31 topic
  8. Feature Selection31 topic
  9. Security31 topic
  10. Air Force21 topic
  11. Answer Set Programming21 topic
  12. CMOS Image Sensors21 topic
  13. Culture21 topic
  14. High-Speed Imaging21 topic
  15. Islam21 topic
  16. Modal Logic21 topic
  17. Modernization21 topic

Where does Lionel Daniel work?

Lionel Daniel's main affiliation in the publication record is IRT M2P, France.

How many publications and citations does Lionel Daniel have?

OpenAlex counts 15 works and 78 citations for Lionel Daniel, an h-index of 4, ranking #6,440,715 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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