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Researcher · Supélec · France

Olivier Pietquin

Olivier Pietquin publishes mostly in Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition, on topics such as Reinforcement Learning in Robotics, Speech and dialogue systems and Topic Modeling.

ORCID 0000-0002-5386-465X OpenAlex
World rank
#1,831,301
of 7,710,434 ranked researchers
Rank in France
#80,417
of 324,115
Works
377
Citations
7.8k
Citations per work
20.6
h-index
38
i10-index 115Top 2.5% in Artificial Intelligence
Olivier Pietquin

What does Olivier Pietquin research?

Olivier Pietquin's work is mostly in Computer Science (61%), Decision Sciences (8%), Medicine (4%).

Physical Sciences: 241 works · 63.9% of their workComputer Science: 228 works · 60.6% of their workArtificial Intelligence: 202 works · 53.6% of their workComputer Vision and Pattern Recognition: 15 works · 4.0% of their workComputational Theory and Mathematics: 11 works · 3.0% of their workEngineering: 12 works · 3.3% of their workControl and Systems Engineering: 12 works · 3.3% of their workEverything else: 95 works · 25.1% of their workSocial Sciences: 28 works · 7.5% of their workDecision Sciences: 28 works · 7.5% of their workManagement Science and Operations Research: 28 works · 7.5% of their workHealth Sciences: 13 works · 3.5% of their workMedicine: 13 works · 3.5% of their workRadiology, Nuclear Medicine and Imaging: 13 works · 3.5% of their workTHEIR WORKOlivier Pietquin377works
Physical Sciences64%Health Sciences4%Social Sciences8%

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 Science22860.6%
    2. Engineering123.3%
  2. Everything else9525.1%
    1. Decision Sciences287.5%
    1. Medicine133.5%
  1. 1Artificial Intelligence54% of their works
  2. 2Management Science and Operations Research8% of their works
  3. 3Computer Vision and Pattern Recognition4% of their works
  4. 4Radiology, Nuclear Medicine and Imaging4% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Computational Theory and Mathematics3% of their works

Research topics

Which keywords describe Olivier Pietquin's research?

The keywords of their largest research topics: Reinforcement Learning, Neural Networks, Multi-Agent Systems, Deep Learning, Robotics, Markov Decision Processes, Spoken Dialogue Systems and Machine Translation.

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. Reinforcement Learning2333 topics
  2. Neural Networks2083 topics
  3. Multi-Agent Systems1622 topics
  4. Deep Learning1211 topic
  5. Robotics1211 topic
  6. Markov Decision Processes881 topic
  7. Spoken Dialogue Systems881 topic
  8. Machine Translation631 topic
  9. Word Representation631 topic
  10. Online Learning622 topics
  11. Agent-Based Modeling411 topic
  12. Argumentation Frameworks411 topic
  13. Bandit Optimization381 topic
  14. Bayesian Optimization381 topic
  15. Neural Machine Translation281 topic
  16. Statistical Machine Translation281 topic
  17. Acoustic Modeling241 topic
  18. Adaptive Dynamic Programming241 topic
  19. Deep Neural Networks241 topic
  20. Optimal Control241 topic

Where does Olivier Pietquin work?

Olivier Pietquin's main affiliation in the publication record is Supélec, France.

How many publications and citations does Olivier Pietquin have?

OpenAlex counts 377 works and 7,783 citations for Olivier Pietquin, an h-index of 38, ranking #1,831,301 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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