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Researcher · University of California, Berkeley · United States

Michel Loève

Michel Loève publishes mostly in Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, on topics such as Bayesian Modeling and Causal Inference, Markov Chains and Monte Carlo Methods and Statistical Mechanics and Entropy.

OpenAlex
World rank
#1,569,490
of 7,710,434 ranked researchers
Rank in United States
#489,322
of 1,627,098
Works
47
Citations
7.8k
Citations per work
165.1
h-index
12
i10-index 15Top 43% in Statistics and Probability
Michel Loève

What does Michel Loève research?

Michel Loève's work is mostly in Mathematics (30%), Computer Science (11%), Decision Sciences (9%).

Physical Sciences: 22 works · 47.1% of their workMathematics: 14 works · 30.4% of their workStatistics and Probability: 9 works · 19.6% of their workMathematical Physics: 3 works · 5.9% of their workGeometry and Topology: 2 works · 4.9% of their workComputer Science: 5 works · 10.8% of their workArtificial Intelligence: 5 works · 10.8% of their workPhysics and Astronomy: 3 works · 5.9% of their workStatistical and Nonlinear Physics: 3 works · 5.9% of their workEverything else: 21 works · 44.1% of their workSocial Sciences: 4 works · 8.8% of their workDecision Sciences: 4 works · 8.8% of their workManagement Science and Operations Research: 4 works · 8.8% of their workTHEIR WORKMichel Loève47works
Physical Sciences47%Social Sciences9%

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. Mathematics1430.4%
    2. Computer Science510.8%
    3. Physics and Astronomy35.9%
  2. Everything else2144.1%
    1. Decision Sciences48.8%
  1. 1Statistics and Probability20% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Management Science and Operations Research9% of their works
  4. 4Mathematical Physics6% of their works
  5. 5Statistical and Nonlinear Physics6% of their works
  6. 6Geometry and Topology5% of their works

Research topics

Which keywords describe Michel Loève's research?

The keywords of their largest research topics: Bayesian Monte Carlo, Bayesian Networks, Causal Inference, Markov Chain, Long-Range Interactions, Nonextensive Statistical Mechanics, Generalized Exponential and Insurance.

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 16 words, with their numbers
  1. Bayesian Monte Carlo61 topic
  2. Bayesian Networks61 topic
  3. Causal Inference61 topic
  4. Markov Chain61 topic
  5. Long-Range Interactions51 topic
  6. Nonextensive Statistical Mechanics51 topic
  7. Generalized Exponential41 topic
  8. Insurance41 topic
  9. Probability Theory41 topic
  10. Risk41 topic
  11. Skew Distributions41 topic
  12. Statistical Modeling41 topic
  13. Data Science31 topic
  14. Model Theory31 topic
  15. Statistics Anxiety31 topic
  16. Topological Dynamics31 topic

Where does Michel Loève work?

Michel Loève's main affiliation in the publication record is University of California, Berkeley, United States.

How many publications and citations does Michel Loève have?

OpenAlex counts 47 works and 7,760 citations for Michel Loève, an h-index of 12, ranking #1,569,490 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.

Discussion

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