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Researcher · Météo-France · France

Olivier Bousquet

Olivier Bousquet publishes mostly in Artificial Intelligence, Atmospheric Science and Computer Vision and Pattern Recognition, on topics such as Meteorological Phenomena and Simulations, Machine Learning and Algorithms and Climate variability and models.

ORCID 0000-0002-2567-2079 OpenAlex
World rank
#946,375
of 7,710,434 ranked researchers
Rank in France
#44,900
of 324,115
Works
309
Citations
21k
Citations per work
67.1
h-index
54
i10-index 133Top 0.8% in Artificial Intelligence
Olivier Bousquet

What does Olivier Bousquet research?

Olivier Bousquet's work is mostly in Computer Science (32%), Earth and Planetary Sciences (17%), Environmental Science (6%).

Physical Sciences: 173 works · 56.0% of their workComputer Science: 100 works · 32.4% of their workArtificial Intelligence: 68 works · 21.9% of their workComputer Vision and Pattern Recognition: 23 works · 7.6% of their workSignal Processing: 9 works · 2.9% of their workEarth and Planetary Sciences: 53 works · 17.3% of their workAtmospheric Science: 41 works · 13.3% of their workOceanography: 12 works · 4.0% of their workEnvironmental Science: 19 works · 6.3% of their workGlobal and Planetary Change: 19 works · 6.3% of their workEverything else: 136 works · 44.0% of their workTHEIR WORKOlivier Bousquet309works
Physical Sciences56%

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 Science10032.4%
    2. Earth and Planetary Sciences5317.3%
    3. Environmental Science196.3%
  2. Everything else13644.0%
  1. 1Artificial Intelligence22% of their works
  2. 2Atmospheric Science13% of their works
  3. 3Computer Vision and Pattern Recognition8% of their works
  4. 4Global and Planetary Change6% of their works
  5. 5Oceanography4% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Olivier Bousquet's research?

The keywords of their largest research topics: Deep Learning, Climate Change, Global Warming, Tropical Cyclones, Data Assimilation, Ensemble Kalman Filter, Active Learning 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 20 words, with their numbers
  1. Deep Learning592 topics
  2. Climate Change572 topics
  3. Global Warming572 topics
  4. Tropical Cyclones482 topics
  5. Data Assimilation471 topic
  6. Ensemble Kalman Filter471 topic
  7. Active Learning331 topic
  8. Machine Learning331 topic
  9. Climate Modeling301 topic
  10. Extreme Events301 topic
  11. Precipitation281 topic
  12. Satellite281 topic
  13. Hurricanes271 topic
  14. Storm Surge271 topic
  15. Neural Networks261 topic
  16. Self-Organizing Maps261 topic
  17. Hyperparameter Optimization211 topic
  18. Noisy Labels211 topic
  19. Ocean Waves211 topic
  20. Wind Stress211 topic

Where does Olivier Bousquet work?

Olivier Bousquet's main affiliation in the publication record is Météo-France, France.

How many publications and citations does Olivier Bousquet have?

OpenAlex counts 309 works and 20,729 citations for Olivier Bousquet, an h-index of 54, ranking #946,375 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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