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Researcher · ENSAE Paris · France

Yann Issartel

Yann Issartel publishes mostly in Artificial Intelligence, Management Science and Operations Research and Statistics and Probability, on topics such as Bayesian Methods and Mixture Models, Machine Learning and Algorithms and Statistical Methods and Inference.

OpenAlex
World rank
#5,615,088
of 7,710,434 ranked researchers
Rank in France
#238,099
of 324,115
Works
15
Citations
13
Citations per work
0.9
h-index
2
i10-index 0Top 98% in Artificial Intelligence
Yann Issartel

What does Yann Issartel research?

Yann Issartel's work is mostly in Computer Science (31%), Decision Sciences (19%), Mathematics (17%).

Physical Sciences: 9 works · 61.8% of their workComputer Science: 5 works · 30.9% of their workArtificial Intelligence: 3 works · 19.0% of their workComputer Networks and Communications: 2 works · 11.9% of their workMathematics: 3 works · 16.7% of their workStatistics and Probability: 3 works · 16.7% of their workEngineering: 1 works · 7.1% of their workElectrical and Electronic Engineering: 1 works · 7.1% of their workPhysics and Astronomy: 1 works · 7.1% of their workStatistical and Nonlinear Physics: 1 works · 7.1% of their workEverything else: 3 works · 19.2% of their workSocial Sciences: 3 works · 19.0% of their workDecision Sciences: 3 works · 19.0% of their workManagement Science and Operations Research: 3 works · 19.0% of their workTHEIR WORKYann Issartel15works
Physical Sciences62%Social Sciences19%

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 Science530.9%
    2. Mathematics316.7%
    3. Engineering17.1%
    4. Physics and Astronomy17.1%
  2. Everything else319.2%
    1. Decision Sciences319.0%
  1. 1Artificial Intelligence19% of their works
  2. 2Management Science and Operations Research19% of their works
  3. 3Statistics and Probability17% of their works
  4. 4Computer Networks and Communications12% of their works
  5. 5Electrical and Electronic Engineering7% of their works
  6. 6Statistical and Nonlinear Physics7% of their works

Research topics

Which keywords describe Yann Issartel's research?

The keywords of their largest research topics: Machine Learning, Active Learning, Bandit Optimization, Bayesian Optimization, Clustering, Community Structure, Mixture Models and Network Dynamics.

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 17 words, with their numbers
  1. Machine Learning52 topics
  2. Active Learning31 topic
  3. Bandit Optimization31 topic
  4. Bayesian Optimization31 topic
  5. Clustering31 topic
  6. Community Structure31 topic
  7. Mixture Models31 topic
  8. Network Dynamics31 topic
  9. Regularization31 topic
  10. Semi-Supervised Learning31 topic
  11. Variable Selection31 topic
  12. Algorithmic Information Theory21 topic
  13. Computability21 topic
  14. Differential Privacy21 topic
  15. Federated Learning21 topic
  16. Ferroelectricity21 topic
  17. Hafnium Oxide21 topic

Where does Yann Issartel work?

Yann Issartel's main affiliation in the publication record is ENSAE Paris, France.

How many publications and citations does Yann Issartel have?

OpenAlex counts 15 works and 13 citations for Yann Issartel, an h-index of 2, ranking #5,615,088 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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