Science Explorer Back to mapMap
Discussion
Researcher · École Polytechnique · France

Éric Moulines

Éric Moulines publishes mostly in Artificial Intelligence, Statistics and Probability and Signal Processing, on topics such as Markov Chains and Monte Carlo Methods, Statistical Methods and Inference and Bayesian Methods and Mixture Models.

ORCID 0000-0002-2058-0693 OpenAlex
World rank
#395,417
of 7,710,434 ranked researchers
Rank in France
#21,561
of 324,115
Works
584
Citations
23k
Citations per work
40.2
h-index
61
i10-index 176Top 0.5% in Artificial Intelligence
Éric Moulines

What does Éric Moulines research?

Éric Moulines's work is mostly in Computer Science (36%), Mathematics (17%), Engineering (10%).

Physical Sciences: 366 works · 62.7% of their workComputer Science: 209 works · 35.8% of their workArtificial Intelligence: 138 works · 23.7% of their workSignal Processing: 47 works · 8.0% of their workComputer Networks and Communications: 24 works · 4.1% of their workMathematics: 99 works · 17.0% of their workStatistics and Probability: 99 works · 17.0% of their workEngineering: 58 works · 9.9% of their workElectrical and Electronic Engineering: 33 works · 5.7% of their workControl and Systems Engineering: 25 works · 4.2% of their workEverything else: 218 works · 37.3% of their workTHEIR WORKÉric Moulines584works
Physical Sciences63%

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 Science20935.8%
    2. Mathematics9917.0%
    3. Engineering589.9%
  2. Everything else21837.3%
  1. 1Artificial Intelligence24% of their works
  2. 2Statistics and Probability17% of their works
  3. 3Signal Processing8% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Control and Systems Engineering4% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Éric Moulines's research?

The keywords of their largest research topics: Model Selection, Approximation Algorithms, Bayesian Inference, Deep Learning, Bayesian Monte Carlo, Markov Chain, Variational Inference and Neural Networks.

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 22 words, with their numbers
  1. Model Selection2312 topics
  2. Approximation Algorithms1892 topics
  3. Bayesian Inference1723 topics
  4. Deep Learning1523 topics
  5. Bayesian Monte Carlo1331 topic
  6. Markov Chain1331 topic
  7. Variational Inference1202 topics
  8. Neural Networks1062 topics
  9. Regularization981 topic
  10. Variable Selection981 topic
  11. Clustering741 topic
  12. Mixture Models741 topic
  13. Random Projections561 topic
  14. Stochastic Gradient Descent561 topic
  15. Nonlinear Estimation521 topic
  16. Particle Filters521 topic
  17. Audio-Visual Speech Recognition501 topic
  18. Speech Enhancement501 topic
  19. Blind Separation471 topic
  20. Independent Component Analysis471 topic
  21. Gaussian Processes461 topic
  22. Machine Learning461 topic

Where does Éric Moulines work?

Éric Moulines's main affiliation in the publication record is École Polytechnique, France.

How many publications and citations does Éric Moulines have?

OpenAlex counts 584 works and 23,461 citations for Éric Moulines, an h-index of 61, ranking #395,417 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

Ask a question or share a note about Éric Moulines. Posts are plain text and can be reported.