World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
40266
World Ranking
6273
National Ranking
250

Yuri Boykov 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 Yuri Boykov 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Yuri Boykov 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 Yuri Boykov 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Yuri Boykov is affiliated with the University of Waterloo in Canada and has a research focus primarily in the field of Computer Science.

Their work covers various subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Endocrinology, Diabetes and Metabolism
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics

Yuri Boykov's research topics involve:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Medical Image Segmentation Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Visual Attention and Saliency Detection
  • Human Pose and Action Recognition

Their recent papers include:

  • "Image Segmentation Using Deep Learning: A Survey," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation," 2020, arXiv (Cornell University)
  • "Sparse Non-Local CRF With Applications," 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Sparse Non-local CRF," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Confluent Vessel Trees with Accurate Bifurcations," 2021, arXiv (Cornell University)

The venues where Yuri Boykov frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

The scientist collaborates regularly with several researchers, including:

  • Zhongwen Zhang
  • Dmitrii Marin
  • Shervin Minaee
  • Fatih Porikli
  • Antonio Plaza

Best Publications

  • Fast approximate energy minimization via graph cuts

    Y. Boykov;O. Veksler;R. Zabih

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

    Y. Boykov;V. Kolmogorov

  • Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images

    Y.Y. Boykov;M.-P. Jolly

  • Image Segmentation Using Deep Learning: A Survey.

    Shervin Minaee;Yuri Y. Boykov;Fatih Porikli;Antonio J Plaza

  • Graph Cuts and Efficient N-D Image Segmentation

    Yuri Boykov;Gareth Funka-Lea

  • Fast Approximate Energy Minimization with Label Costs

    Andrew Delong;Anton Osokin;Hossam N. Isack;Yuri Boykov

  • Markov random fields with efficient approximations

    Y. Boykov;O. Veksler;R. Zabih

  • Superpixels and supervoxels in an energy optimization framework

    Olga Veksler;Yuri Boykov;Paria Mehrani

  • Fast approximate energy minimization via graph cuts

    Y. Boykov;O. Veksler;R. Zabih

  • Energy-Based Geometric Multi-model Fitting

    Hossam Isack;Yuri Boykov

  • Interactive Organ Segmentation Using Graph Cuts

    Yuri Boykov;Marie-Pierre Jolly

  • Normalized Cut Loss for Weakly-Supervised CNN Segmentation

    Meng Tang;Abdelaziz Djelouah;Federico Perazzi;Yuri Boykov

  • Graph Cuts in Vision and Graphics: Theories and Applications

    Yuri Boykov;Olga Veksler

  • Constrained-CNN losses for weakly supervised segmentation.

    Hoel Kervadec;Jose Dolz;Meng Tang;Eric Granger

  • On Regularized Losses for Weakly-supervised CNN Segmentation

    Meng Tang;Federico Perazzi;Abdelaziz Djelouah;Ismail Ben Ayed

  • GrabCut in One Cut

    Meng Tang;Lena Gorelick;Olga Veksler;Yuri Boykov

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

    V. Kolmogorov;Y. Boykov

  • A variable window approach to early vision

    Yu. Boykov;O. Veksler;R. Zabih

  • A continuous max-flow approach to potts model

    Jing Yuan;Egil Bae;Xue-Cheng Tai;Yuri Boykov

  • Applications of parametric maxflow in computer vision

    V. Kolmogorov;Y. Boykov;C. Rother

  • for Optimal Boundary & Region Segmentation of Objects in N-D Images

    Yuri Y. Boykov;Marie-Pierre Jolly

Frequent Co-Authors

Olga Veksler
Olga Veksler University of Waterloo
Ismail Ben Ayed
Ismail Ben Ayed École de Technologie Supérieure
Victor Lempitsky
Victor Lempitsky Samsung (South Korea)
Vladimir Kolmogorov
Vladimir Kolmogorov Institute of Science and Technology Austria
Daniel Cremers
Daniel Cremers Technical University of Munich
Ramin Zabih
Ramin Zabih Cornell University
Fredrik Kahl
Fredrik Kahl Chalmers University of Technology
Xue-Cheng Tai
Xue-Cheng Tai NORCE Research
Milan Sonka
Milan Sonka University of Iowa

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a variety of rewarding careers, and pursuing related online degrees can further expand your opportunities. For those interested in business technology leadership, an online EMBA can build on your technical background and prepare you for executive roles in IT management.

Alternatively, fields like information management and digital archiving are ideal for tech-minded individuals. Earning a library science degree online offers specialized knowledge in data curation and digital resource management.

Affordability is a top concern for many students. Fortunately, there are numerous affordable master degree online programs, making it easier to advance your education in computer science or related fields without overspending.

For those aiming for the highest leadership roles, pursuing a PhD in leadership online can blend your technical and managerial skills for career advancement in academia, research, or senior organizational positions.

Best Scientists Citing Yuri Boykov

Trending Scientists

Recently Published Articles