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Researcher · Skolkovo Institute of Science and Technology · Russia

Ivan Valer'evich Oseledets

Ivan Valer'evich Oseledets publishes mostly in Artificial Intelligence, Computational Mathematics and Computer Vision and Pattern Recognition, on topics such as Tensor decomposition and applications, Matrix Theory and Algorithms and Model Reduction and Neural Networks.

ORCID 0000-0003-2071-2163 OpenAlex
World rank
#653,226
of 7,710,434 ranked researchers
Rank in Russia
#1,412
of 179,717
Works
455
Citations
11k
Citations per work
24.3
h-index
40
i10-index 127Top 2.1% in Artificial Intelligence
Ivan Valer'evich Oseledets

What does Ivan Valer'evich Oseledets research?

Ivan Valer'evich Oseledets's work is mostly in Computer Science (37%), Mathematics (11%), Engineering (6%).

Physical Sciences: 264 works · 58.0% of their workComputer Science: 167 works · 36.8% of their workArtificial Intelligence: 82 works · 18.1% of their workComputer Vision and Pattern Recognition: 45 works · 9.8% of their workComputational Theory and Mathematics: 40 works · 8.9% of their workMathematics: 49 works · 10.7% of their workComputational Mathematics: 49 works · 10.7% of their workEngineering: 27 works · 6.0% of their workComputational Mechanics: 27 works · 6.0% of their workPhysics and Astronomy: 20 works · 4.5% of their workStatistical and Nonlinear Physics: 20 works · 4.5% of their workEverything else: 191 works · 42.0% of their workTHEIR WORKIvan Valer'evichOseledets455works
Physical Sciences58%

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 Science16736.8%
    2. Mathematics4910.7%
    3. Engineering276.0%
    4. Physics and Astronomy204.5%
  2. Everything else19142.0%
  1. 1Artificial Intelligence18% of their works
  2. 2Computational Mathematics11% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Computational Theory and Mathematics9% of their works
  5. 5Computational Mechanics6% of their works
  6. 6Statistical and Nonlinear Physics4% of their works

Research topics

Which keywords describe Ivan Valer'evich Oseledets's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Multilinear Algebra, Tensor Decomposition, Matrix Computations, Numerical Linear Algebra, Neural Networks and Model Reduction.

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. Machine Learning2103 topics
  2. Deep Learning1394 topics
  3. Multilinear Algebra1331 topic
  4. Tensor Decomposition1331 topic
  5. Matrix Computations761 topic
  6. Numerical Linear Algebra761 topic
  7. Neural Networks642 topics
  8. Model Reduction471 topic
  9. Partial Differential Equations471 topic
  10. Backpropagation Learning341 topic
  11. Self-Organizing Maps341 topic
  12. Compressed Sensing311 topic
  13. Sparse Representation311 topic
  14. Adversarial Examples301 topic
  15. Electromagnetic Scattering301 topic
  16. Integral Equation Methods301 topic
  17. Robustness301 topic
  18. Convolutional Neural Networks281 topic
  19. Image Recognition281 topic

Where does Ivan Valer'evich Oseledets work?

Ivan Valer'evich Oseledets's main affiliation in the publication record is Skolkovo Institute of Science and Technology, Russia.

How many publications and citations does Ivan Valer'evich Oseledets have?

OpenAlex counts 455 works and 11,075 citations for Ivan Valer'evich Oseledets, an h-index of 40, ranking #653,226 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.

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