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Researcher · Université de Technologie de Compiègne · France

Paul Gaillard

Paul Gaillard publishes mostly in Computer Vision and Pattern Recognition, Mechanical Engineering and Cognitive Neuroscience, on topics such as Blind Source Separation Techniques, Non-Destructive Testing Techniques and EEG and Brain-Computer Interfaces.

OpenAlex
World rank
#5,829,493
of 7,710,434 ranked researchers
Rank in France
#247,748
of 324,115
Works
23
Citations
92
Citations per work
4.0
h-index
3
i10-index 3Top 97% in Computer Vision and Pattern Recognition
Paul Gaillard

What does Paul Gaillard research?

Paul Gaillard's work is mostly in Computer Science (21%), Engineering (17%), Neuroscience (10%).

Everything else: 11 works · 48.5% of their workPhysical Sciences: 9 works · 37.8% of their workComputer Science: 5 works · 20.6% of their workComputer Vision and Pattern Recognition: 2 works · 10.3% of their workSignal Processing: 2 works · 10.3% of their workEngineering: 4 works · 17.2% of their workMechanical Engineering: 2 works · 10.3% of their workBiomedical Engineering: 2 works · 6.9% of their workLife Sciences: 2 works · 10.3% of their workNeuroscience: 2 works · 10.3% of their workCognitive Neuroscience: 2 works · 10.3% of their workHealth Sciences: 1 works · 3.4% of their workMedicine: 1 works · 3.4% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 3.4% of their workTHEIR WORKPaul Gaillard23works
Life Sciences10%Physical Sciences38%Health Sciences3%

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. Everything else1148.5%
    1. Computer Science520.6%
    2. Engineering417.2%
    1. Neuroscience210.3%
    1. Medicine13.4%
  1. 1Computer Vision and Pattern Recognition10% of their works
  2. 2Mechanical Engineering10% of their works
  3. 3Cognitive Neuroscience10% of their works
  4. 4Signal Processing10% of their works
  5. 5Biomedical Engineering7% of their works
  6. 6Radiology, Nuclear Medicine and Imaging3% of their works

Research topics

Which keywords describe Paul Gaillard's research?

The keywords of their largest research topics: Machine Learning, Blind Separation, Eddy Current Testing, Independent Component Analysis, Non-Destructive Evaluation, Brain-Computer Interfaces, CMOS and Content-Based Image Retrieval.

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. Machine Learning52 topics
  2. Blind Separation31 topic
  3. Eddy Current Testing31 topic
  4. Independent Component Analysis31 topic
  5. Non-Destructive Evaluation31 topic
  6. Brain-Computer Interfaces21 topic
  7. CMOS21 topic
  8. Content-Based Image Retrieval21 topic
  9. Cortical Networks21 topic
  10. EEG Analysis21 topic
  11. Low-Power21 topic
  12. Neuronal Oscillations21 topic
  13. Residual Stress21 topic
  14. Shape Matching21 topic
  15. Welding21 topic
  16. Biomedical Ontologies11 topic
  17. Text Mining11 topic

Where does Paul Gaillard work?

Paul Gaillard's main affiliation in the publication record is Université de Technologie de Compiègne, France.

How many publications and citations does Paul Gaillard have?

OpenAlex counts 23 works and 92 citations for Paul Gaillard, an h-index of 3, ranking #5,829,493 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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