World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
42378
World Ranking
4935
National Ranking
34

Vladimir Kolmogorov publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Vladimir Kolmogorov sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 250 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 560 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 121 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Vladimir Kolmogorov D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Vladimir Kolmogorov sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Vladimir Kolmogorov is affiliated with the Institute of Science and Technology Austria in Austria. Their research spans multiple areas within computer science and mathematics, with a focus on computational theory and mathematics. The primary fields of study include computer science and mathematics, with significant contributions to the subfields of computational theory and mathematics, artificial intelligence, numerical analysis, computer vision and pattern recognition, and statistics and probability.

Their main topics of work cover:

  • Advanced Optimization Algorithms Research
  • Bayesian Methods and Mixture Models
  • Complexity and Algorithms in Graphs
  • Advanced Graph Theory Research
  • Advanced Combinatorial Mathematics
  • Advanced Algebra and Logic
  • Computational Geometry and Mesh Generation

Vladimir Kolmogorov has produced a range of recent publications, including:

  • Parameter Estimation for Gibbs Distributions, 2024, ACM Transactions on Algorithms
  • One-sided Frank-Wolfe algorithms for saddle problems, 2021, arXiv (Cornell University)
  • Generalized minimum 0-extension problem and discrete convexity, 2021, arXiv (Cornell University)
  • A New Notion of Commutativity for the Algorithmic Lovász Local Lemma, 2021, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • A new notion of commutativity for the algorithmic Lovász Local Lemma, 2020, arXiv (Cornell University)

Their work has been published in several venues, notably:

  • arXiv (Cornell University)
  • ACM Transactions on Algorithms
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Mathematical Programming
  • SIAM Journal on Optimization

Frequent coauthors collaborating with Vladimir Kolmogorov include:

  • David G. Harris
  • Martin Dvorak
  • Fotis Iliopoulos
  • Simone Naldi
  • Jeferson Zapata

Best Publications

  • "GrabCut": interactive foreground extraction using iterated graph cuts

    Carsten Rother;Vladimir Kolmogorov;Andrew Blake

  • An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision

    Y. Boykov;V. Kolmogorov

  • What energy functions can be minimized via graph cuts

    V. Kolmogorov;R. Zabin

  • What energy functions can be minimized via graph cuts?

    Unknown

  • Convergent Tree-Reweighted Message Passing for Energy Minimization

    V. Kolmogorov

  • Computing visual correspondence with occlusions using graph cuts

    V. Kolmogorov;R. Zabih

  • A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors

    R. Szeliski;R. Zabih;D. Scharstein;O. Veksler

  • Multi-camera Scene Reconstruction via Graph Cuts

    Vladimir Kolmogorov;Ramin Zabih

  • Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs

    C. Rother;T. Minka;A. Blake;V. Kolmogorov

  • Optimizing Binary MRFs via Extended Roof Duality

    C. Rother;V. Kolmogorov;V. Lempitsky;M. Szummer

  • Blossom V: a new implementation of a minimum cost perfect matching algorithm

    Vladimir Kolmogorov

  • Minimizing Nonsubmodular Functions with Graph Cuts-A Review

    V. Kolmogorov;C. Rother

  • Graph cut based image segmentation with connectivity priors

    S. Vicente;V. Kolmogorov;C. Rother

  • A comparative study of energy minimization methods for markov random fields

    Richard Szeliski;Ramin Zabih;Daniel Scharstein;Olga Veksler

  • Feature Correspondence Via Graph Matching: Models and Global Optimization

    Lorenzo Torresani;Vladimir Kolmogorov;Carsten Rother

  • Bilayer Segmentation of Live Video

    A. Criminisi;G. Cross;A. Blake;V. Kolmogorov

  • Object cosegmentation

    Sara Vicente;Carsten Rother;Vladimir Kolmogorov

  • Proofs of Space

    Stefan Dziembowski;Sebastian Faust;Vladimir Kolmogorov;Krzysztof Z Pietrzak

  • Bi-layer segmentation of binocular stereo video

    V. Kolmogorov;A. Criminisi;A. Blake;G. Cross

  • What metrics can be approximated by geo-cuts, or global optimization of length/area and flux

    V. Kolmogorov;Y. Boykov

  • Spatially coherent clustering using graph cuts

    R. Zabih;V. Kolmogorov

  • GrabCut: Interactive Foreground Extraction Using Iterated Graph Cuts

    Unknown

Frequent Co-Authors

Carsten Rother
Carsten Rother Heidelberg University
Andrew Blake
Andrew Blake University of Cambridge
Ramin Zabih
Ramin Zabih Cornell University
Antonio Criminisi
Antonio Criminisi Microsoft (United States)
Yuri Boykov
Yuri Boykov University of Waterloo
Christoph H. Lampert
Christoph H. Lampert Institute of Science and Technology Austria
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Thomas Pock
Thomas Pock Graz University of Technology
Krzysztof Pietrzak
Krzysztof Pietrzak Institute of Science and Technology Austria

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