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Researcher · Université Gustave Eiffel · France

Nicolas Gonthier

Nicolas Gonthier publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, on topics such as Remote-Sensing Image Classification, Generative Adversarial Networks and Image Synthesis and Geographic Information Systems Studies.

ORCID 0000-0002-9236-5394 OpenAlex
World rank
#2,041,054
of 7,710,434 ranked researchers
Rank in France
#88,784
of 324,115
Works
41
Citations
321
Citations per work
7.8
h-index
11
i10-index 11Top 39% in Computer Vision and Pattern Recognition
Nicolas Gonthier

What does Nicolas Gonthier research?

Nicolas Gonthier's work is mostly in Computer Science (37%), Engineering (13%), Neuroscience (8%).

Physical Sciences: 22 works · 53.6% of their workComputer Science: 15 works · 36.8% of their workComputer Vision and Pattern Recognition: 12 works · 28.4% of their workArtificial Intelligence: 3 works · 8.4% of their workEngineering: 5 works · 12.6% of their workMedia Technology: 5 works · 12.6% of their workEnvironmental Science: 2 works · 4.2% of their workGlobal and Planetary Change: 2 works · 4.2% of their workEverything else: 13 works · 30.6% of their workLife Sciences: 3 works · 8.4% of their workNeuroscience: 3 works · 8.4% of their workCognitive Neuroscience: 3 works · 8.4% of their workSocial Sciences: 3 works · 7.4% of their workSocial Sciences: 3 works · 7.4% of their workGeography, Planning and Development: 3 works · 7.4% of their workTHEIR WORKNicolas Gonthier41works
Life Sciences8%Physical Sciences54%Social Sciences7%

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 Science1536.8%
    2. Engineering512.6%
    3. Environmental Science24.2%
  2. Everything else1330.6%
    1. Neuroscience38.4%
    1. Social Sciences37.4%
  1. 1Computer Vision and Pattern Recognition28% of their works
  2. 2Media Technology13% of their works
  3. 3Artificial Intelligence8% of their works
  4. 4Cognitive Neuroscience8% of their works
  5. 5Geography, Planning and Development7% of their works
  6. 6Global and Planetary Change4% of their works

Research topics

Which keywords describe Nicolas Gonthier's research?

The keywords of their largest research topics: Deep Learning, Remote Sensing, Hyperspectral, Image Analysis, Generative Adversarial Networks, Image Synthesis, Geospatial Crowdsourcing and Machine Learning.

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 Learning213 topics
  2. Remote Sensing142 topics
  3. Hyperspectral101 topic
  4. Image Analysis101 topic
  5. Generative Adversarial Networks81 topic
  6. Image Synthesis81 topic
  7. Geospatial Crowdsourcing71 topic
  8. Machine Learning72 topics
  9. Volunteered Geographic Information71 topic
  10. Aesthetic Perception51 topic
  11. Neuroaesthetics51 topic
  12. Phenology41 topic
  13. Vegetation Monitoring41 topic
  14. Computer Graphics31 topic
  15. Convolutional Neural Networks31 topic
  16. Expert Systems31 topic
  17. Image Recognition31 topic
  18. Visualization31 topic
  19. Wavelet Analysis31 topic

Where does Nicolas Gonthier work?

Nicolas Gonthier's main affiliation in the publication record is Université Gustave Eiffel, France.

How many publications and citations does Nicolas Gonthier have?

OpenAlex counts 41 works and 321 citations for Nicolas Gonthier, an h-index of 11, ranking #2,041,054 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.

Discussion

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