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Mathematics
Russia
2026

D-Index & Metrics

Mathematics

D-Index
49
Citations
13173
World Ranking
1125
National Ranking
9

Ivan V. Oseledets publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Ivan V. Oseledets sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 251 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Ivan V. Oseledets D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Ivan V. Oseledets sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 49 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mathematics in Russia Leader Award
  • 2025 - Research.com Mathematics in Russia Leader Award

Overview

Ivan V. Oseledets is affiliated with the Skolkovo Institute of Science and Technology in the Russian Federation. Their research primarily focuses on areas within Computer Science, with a total of 263 publications contributing to the field.

Their main subfields of study include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering

In terms of specific research topics, Ivan V. Oseledets has made contributions in:

  • Tensor decomposition and applications
  • Neural Networks and Applications
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Model Reduction and Neural Networks
  • Matrix Theory and Algorithms
  • Remote Sensing in Agriculture

Their recent papers include a variety of subjects and publication venues:

  • "eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI," 2022, Doklady Mathematics
  • "Hyperbolic Vision Transformers: Combining Improvements in Metric Learning," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Microstructure synthesis using style-based generative adversarial networks," 2020, Physical review. E
  • "Spectral Neural Operators," 2023, Doklady Mathematics
  • "Synergy between Artificial Intelligence and Hyperspectral Imagining-A Review," 2024, Technologies

Ivan V. Oseledets frequently publishes in the following venues:

  • arXiv (Cornell University)
  • IEEE Access
  • Computational Mathematics and Mathematical Physics
  • SSRN Electronic Journal
  • Doklady Mathematics

The scientist collaborates extensively with several co-authors, including:

  • Andrzej Cichocki
  • Anh Huy Phan
  • Andrei Chertkov
  • Alexandr Katrutsa
  • Svetlana Illarionova

Best Publications

  • Tensor-Train Decomposition

    I. V. Oseledets

  • Unifying time evolution and optimization with matrix product states

    Jutho Haegeman;Christian Lubich;Ivan Oseledets;Ivan Oseledets;Bart Vandereycken

  • TT-cross approximation for multidimensional arrays

    Ivan Oseledets;Eugene Tyrtyshnikov

  • Breaking the Curse of Dimensionality, Or How to Use SVD in Many Dimensions

    I. V. Oseledets;E. E. Tyrtyshnikov

  • Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

    Vadim Lebedev;Vadim Lebedev;Yaroslav Ganin;Maksim Rakhuba;Maksim Rakhuba;Ivan Oseledets

  • Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1.

    Andrzej Cichocki;Namgil Lee;Ivan V. Oseledets;Anh Huy Phan

  • Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

    Andrzej Cichocki;Namgil Lee;Ivan Oseledets;Anh-Huy Phan

  • How to find a good submatrix

    S. Goreinov;I. Oseledets;D. Savostyanov;E. Tyrtyshnikov

  • Time Integration of Tensor Trains

    Christian Lubich;Ivan V. Oseledets;Bart Vandereycken

  • Approximation of 2d˟2d Matrices Using Tensor Decomposition

    Unknown

  • Neural networks for topology optimization

    Ivan Sosnovik;Ivan V. Oseledets

  • Hyperbolic Image Embeddings

    Valentin Khrulkov;Leyla Mirvakhabova;Evgeniya Ustinova;Ivan Oseledets

  • Tucker Dimensionality Reduction of Three-Dimensional Arrays in Linear Time

    I. V. Oseledets;D. V. Savostianov;E. E. Tyrtyshnikov

  • Solution of Linear Systems and Matrix Inversion in the TT-Format

    Ivan V. Oseledets;Sergey V. Dolgov

  • Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives

    A. Cichocki;A-H. Phan;Q. Zhao;N. Lee

  • A projector-splitting integrator for dynamical low-rank approximation

    Christian Lubich;Ivan V. Oseledets;Ivan V. Oseledets

  • Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

    Andrzej Cichocki;Namgil Lee;Ivan Oseledets

  • Fast adaptive interpolation of multi-dimensional arrays in tensor train format

    Dmitry Savostyanov;Ivan Oseledets

  • Constructive Representation of Functions in Low-Rank Tensor Formats

    I. V. Oseledets

  • Fast Solution of Parabolic Problems in the Tensor Train/Quantized Tensor Train Format with Initial Application to the Fokker--Planck Equation

    Sergey V. Dolgov;Boris N. Khoromskij;Ivan V. Oseledets

  • Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition

    Zheng Zhang;Xiu Yang;Ivan V. Oseledets;George Em Karniadakis

  • Tensor methods and recommender systems

    Evgeny Frolov;Ivan V. Oseledets;Ivan V. Oseledets

  • Exponential Machines

    Alexander Novikov;Mikhail Trofimov;Ivan Oseledets

  • Art of singular vectors and universal adversarial perturbations

    Valentin Khrulkov;Ivan Oseledets

Frequent Co-Authors

Eugene E. Tyrtyshnikov
Eugene E. Tyrtyshnikov Russian Academy of Sciences
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Boris N. Khoromskij
Boris N. Khoromskij Max Planck Institute for Mathematics in the Sciences
Denis Zorin
Denis Zorin New York University
Christian Lubich
Christian Lubich University of Tübingen
Pavel Serdyukov
Pavel Serdyukov Yandex (Russia)
Victor Lempitsky
Victor Lempitsky Samsung (South Korea)
Alexander M. Bronstein
Alexander M. Bronstein Technion – Israel Institute of Technology
Danilo P. Mandic
Danilo P. Mandic Imperial College London

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