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Researcher · ENSAE Paris · France

Boris Muzellec

Boris Muzellec publishes mostly in Artificial Intelligence, Statistics and Probability and Applied Mathematics, on topics such as Markov Chains and Monte Carlo Methods, Privacy-Preserving Technologies in Data and Statistical Methods and Inference.

ORCID 0000-0002-1035-7017 OpenAlex
World rank
#4,849,987
of 7,710,434 ranked researchers
Rank in France
#204,374
of 324,115
Works
30
Citations
815
Citations per work
27.2
h-index
11
i10-index 14Top 37% in Artificial Intelligence
Boris Muzellec

What does Boris Muzellec research?

Boris Muzellec's work is mostly in Computer Science (31%), Mathematics (29%), Biochemistry, Genetics and Molecular Biology (6%).

Physical Sciences: 20 works · 65.2% of their workComputer Science: 9 works · 31.4% of their workArtificial Intelligence: 8 works · 26.7% of their workComputer Vision and Pattern Recognition: 1 works · 4.7% of their workMathematics: 9 works · 29.1% of their workStatistics and Probability: 7 works · 22.1% of their workApplied Mathematics: 2 works · 7.0% of their workPhysics and Astronomy: 1 works · 4.7% of their workStatistical and Nonlinear Physics: 1 works · 4.7% of their workEverything else: 9 works · 29.0% of their workLife Sciences: 2 works · 5.8% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 5.8% of their workMolecular Biology: 2 works · 5.8% of their workTHEIR WORKBoris Muzellec30works
Life Sciences6%Physical Sciences65%

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 Science931.4%
    2. Mathematics929.1%
    3. Physics and Astronomy14.7%
  2. Everything else929.0%
    1. Biochemistry, Genetics and Molecular Biology25.8%
  1. 1Artificial Intelligence27% of their works
  2. 2Statistics and Probability22% of their works
  3. 3Applied Mathematics7% of their works
  4. 4Molecular Biology6% of their works
  5. 5Computer Vision and Pattern Recognition5% of their works
  6. 6Statistical and Nonlinear Physics5% of their works

Research topics

Which keywords describe Boris Muzellec's research?

The keywords of their largest research topics: Model Selection, Approximation Algorithms, Bayesian Monte Carlo, Markov Chain, Differential Privacy, Federated Learning, Convex Optimization and Regularization.

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. Model Selection182 topics
  2. Approximation Algorithms152 topics
  3. Bayesian Monte Carlo111 topic
  4. Markov Chain111 topic
  5. Differential Privacy81 topic
  6. Federated Learning81 topic
  7. Convex Optimization72 topics
  8. Regularization71 topic
  9. Variable Selection71 topic
  10. Optimal Transport41 topic
  11. Random Projections41 topic
  12. Ricci Curvature41 topic
  13. Sensitivity Analysis41 topic
  14. Stochastic Gradient Descent41 topic
  15. Uncertainty Quantification41 topic
  16. Compressed Sensing31 topic
  17. Sparse Representation31 topic
  18. Cancer21 topic
  19. Long Noncoding RNAs21 topic

Where does Boris Muzellec work?

Boris Muzellec's main affiliation in the publication record is ENSAE Paris, France.

How many publications and citations does Boris Muzellec have?

OpenAlex counts 30 works and 815 citations for Boris Muzellec, an h-index of 11, ranking #4,849,987 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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