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Researcher · ENSAE Paris · France

Meyer Scetbon

Meyer Scetbon publishes mostly in Artificial Intelligence, Statistics and Probability and Computational Mechanics, on topics such as Sparse and Compressive Sensing Techniques, Statistical Methods and Inference and Statistical Mechanics and Entropy.

ORCID 0000-0002-1419-8578 OpenAlex
World rank
#4,789,006
of 7,710,434 ranked researchers
Rank in France
#201,779
of 324,115
Works
34
Citations
83
Citations per work
2.4
h-index
5
i10-index 1Top 82% in Artificial Intelligence
Meyer Scetbon

What does Meyer Scetbon research?

Meyer Scetbon's work is mostly in Computer Science (38%), Mathematics (12%), Engineering (10%).

Physical Sciences: 22 works · 65.6% of their workComputer Science: 13 works · 37.8% of their workArtificial Intelligence: 8 works · 23.3% of their workComputer Vision and Pattern Recognition: 3 works · 7.8% of their workComputational Theory and Mathematics: 2 works · 6.7% of their workMathematics: 4 works · 12.2% of their workStatistics and Probability: 4 works · 12.2% of their workEngineering: 3 works · 10.0% of their workComputational Mechanics: 3 works · 10.0% of their workPhysics and Astronomy: 2 works · 5.6% of their workStatistical and Nonlinear Physics: 2 works · 5.6% of their workEverything else: 12 works · 34.4% of their workTHEIR WORKMeyer Scetbon34works
Physical Sciences66%

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 Science1337.8%
    2. Mathematics412.2%
    3. Engineering310.0%
    4. Physics and Astronomy25.6%
  2. Everything else1234.4%
  1. 1Artificial Intelligence23% of their works
  2. 2Statistics and Probability12% of their works
  3. 3Computational Mechanics10% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Computational Theory and Mathematics7% of their works
  6. 6Statistical and Nonlinear Physics6% of their works

Research topics

Which keywords describe Meyer Scetbon's research?

The keywords of their largest research topics: Model Selection, Machine Learning, Compressed Sensing, Sparse Representation, Regularization, Variable Selection, Deep Learning and Long-Range Interactions.

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 Selection102 topics
  2. Machine Learning93 topics
  3. Compressed Sensing81 topic
  4. Sparse Representation81 topic
  5. Regularization71 topic
  6. Variable Selection71 topic
  7. Deep Learning62 topics
  8. Long-Range Interactions41 topic
  9. Nonextensive Statistical Mechanics41 topic
  10. Adversarial Examples31 topic
  11. Bayesian Monte Carlo31 topic
  12. Fault Detection31 topic
  13. Gaussian Processes31 topic
  14. Hyperparameter Optimization31 topic
  15. Markov Chain31 topic
  16. Noisy Labels31 topic
  17. Process Monitoring31 topic
  18. Robustness31 topic
  19. Variational Inference31 topic

Where does Meyer Scetbon work?

Meyer Scetbon's main affiliation in the publication record is ENSAE Paris, France.

How many publications and citations does Meyer Scetbon have?

OpenAlex counts 34 works and 83 citations for Meyer Scetbon, an h-index of 5, ranking #4,789,006 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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