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Nicolas Vayatis

Nicolas Vayatis publishes mostly in Artificial Intelligence, Statistics and Probability and Computer Networks and Communications, on topics such as Machine Learning and Algorithms, Imbalanced Data Classification Techniques and Face and Expression Recognition.

World rank
#459,018
of 1,633,909 ranked researchers
Rank in France
#27,389
of 96,116
Works
60
Citations
237
Citations per work
4.0

What does Nicolas Vayatis research?

Artificial Intelligence: 27.2%Statistics and Probability: 9.9%Computer Networks and Communications: 6.2%Information Systems: 3.7%other fields: 53.0%27%top field
Artificial Intelligence27.2%Statistics and Probability9.9%Computer Networks and Communications6.2%Information Systems3.7%other fields53.0%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence27% of their works
  2. 2Statistics and Probability10% of their works
  3. 3Computer Networks and Communications6% of their works
  4. 4Information Systems4% of their works
  5. 5Computer Vision and Pattern Recognition4% of their works
  6. 6Physical Therapy, Sports Therapy and Rehabilitation4% of their works

Research topics

Which keywords describe Nicolas Vayatis's research?

The keywords of their largest research topics: Deep Learning, Ensemble Methods, Active Learning, High-Dimensional Data, Machine Learning, Classification, Dimensionality Reduction and Face Recognition.

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 19 words, with their numbers
  1. Deep Learning72 topics
  2. Ensemble Methods62 topics
  3. Active Learning51 topic
  4. High-Dimensional Data52 topics
  5. Machine Learning51 topic
  6. Classification31 topic
  7. Dimensionality Reduction31 topic
  8. Face Recognition31 topic
  9. Fall Risk31 topic
  10. Gait Speed31 topic
  11. Imbalanced Data31 topic
  12. Regularization31 topic
  13. Variable Selection31 topic
  14. Anomaly Detection21 topic
  15. Bayesian Networks21 topic
  16. Causal Inference21 topic
  17. Clustering21 topic
  18. Mixture Models21 topic
  19. Unsupervised21 topic

Where does Nicolas Vayatis work?

Nicolas Vayatis's main affiliation in the publication record is École Normale Supérieure Paris-Saclay, France.

How many publications and citations does Nicolas Vayatis have?

Science Explorer counts 60 works and 237 citations for Nicolas Vayatis, ranking #459,018 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.