World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
13903
World Ranking
5778
National Ranking
2627

Gregory Shakhnarovich 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 Gregory Shakhnarovich 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: 249 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: 559 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: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 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: 88 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Gregory Shakhnarovich 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 Gregory Shakhnarovich sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Gregory Shakhnarovich is affiliated with the Toyota Technological Institute at Chicago in the United States. Their research primarily focuses on computer science, with a particular emphasis on subfields such as computer vision and pattern recognition, artificial intelligence, computer graphics and computer-aided design, biophysics, and human-computer interaction.

The scientist's recent publications demonstrate involvement in diverse topics and venues. Recent papers include Analysis of diversity-accuracy tradeoff in image captioning (2020, arXiv), Classification Confidence Estimation with Test-Time Data-Augmentation (2020, arXiv), NeRFuser: Large-Scale Scene Representation by NeRF Fusion (2023, arXiv), Self-Supervised Video Transformers for Isolated Sign Language Recognition (2023, arXiv), and Deformable Style Transfer (2020, Lecture notes in computer science).

The research topics covered by their publications include:

  • Topic Modeling
  • Generative Adversarial Networks and Image Synthesis
  • Computer Graphics and Visualization Techniques
  • Image Enhancement Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning

The scientist has frequently published in venues such as:

  • arXiv (Cornell University), with seven publications
  • Lecture notes in computer science, with one publication

Collaboration is evident through frequent coauthors, including:

  • Matthew R. Walter
  • Jiading Fang
  • Shengjie Lin
  • Igor Vasiljevic
  • Vitor Guizilini

The body of work reflects interdisciplinary considerations, with some research intersecting biophysics and human-computer interaction alongside core areas of artificial intelligence and computer vision. This diversity indicates a broad application of machine learning and computer graphics methodologies in the scientist's research portfolio.

Best Publications

  • Learning Representations for Automatic Colorization

    Gustav Larsson;Michael Maire;Gregory Shakhnarovich

  • FractalNet: Ultra-Deep Neural Networks without Residuals.

    Gustav Larsson;Michael Maire;Gregory Shakhnarovich

  • Locality-Sensitive Hashing Using Stable Distributions

    Gregory Shakhnarovich;Trevor Darrell;Piotr Indyk

  • Nearest-neighbor methods in learning and vision : theory and practice

    Gregory Shakhnarovich;Piotr Indyk;Trevor Darrell

  • Feedforward semantic segmentation with zoom-out features

    Mohammadreza Mostajabi;Payman Yadollahpour;Gregory Shakhnarovich

  • Colorization as a Proxy Task for Visual Understanding

    Gustav Larsson;Michael Maire;Gregory Shakhnarovich

  • Recurrent Back-Projection Network for Video Super-Resolution

    Muhammad Haris;Gregory Shakhnarovich;Norimichi Ukita

  • Face Recognition from Long-Term Observations

    Gregory Shakhnarovich;John W. Fisher;Trevor Darrell

  • Face recognition with image sets using manifold density divergence

    O. Arandjelovic;G. Shakhnarovich;J. Fisher;R. Cipolla

  • A unified learning framework for real time face detection and classification

    G. Shakhnarovich;P.A. Viola;B. Moghaddam

  • Integrated face and gait recognition from multiple views

    G. Shakhnarovich;L. Lee;T. Darrell

  • Diverse M-best solutions in markov random fields

    Dhruv Batra;Payman Yadollahpour;Abner Guzman-Rivera;Gregory Shakhnarovich

  • Face Recognition in Subspaces

    Gregory Shakhnarovich;Baback Moghaddam

  • Decoding Complete Reach and Grasp Actions from Local Primary Motor Cortex Populations

    Carlos E. Vargas-Irwin;Gregory Shakhnarovich;Payman Yadollahpour;John M. K. Mislow

  • Style Transfer by Relaxed Optimal Transport and Self-Similarity

    Nicholas Kolkin;Jason Salavon;Gregory Shakhnarovich

  • Examining the Impact of Blur on Recognition by Convolutional Networks

    Igor Vasiljevic;Ayan Chakrabarti;Gregory Shakhnarovich

  • Learning task-specific similarity

    Gregory Shakhnarovich

  • Discriminability Objective for Training Descriptive Captions

    Ruotian Luo;Gregory Shakhnarovich;Scott Cohen;Brian Price

  • Learning silhouette features for control of human motion

    Liu Ren;Gregory Shakhnarovich;Jessica K. Hodgins;Hanspeter Pfister

  • Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)

    Gregory Shakhnarovich;Trevor Darrell;Piotr Indyk

  • Discriminability objective for training descriptive captions

    Ruotian Luo;Brian Price;Scott Cohen;Gregory Shakhnarovich

  • Inferring 3D Structure with a Statistical Image-Based Shape Model

    Kristen Grauman;Gregory Shakhnarovich;Trevor Darrell

Frequent Co-Authors

Trevor Darrell
Trevor Darrell University of California, Berkeley
Karen Livescu
Karen Livescu Toyota Technological Institute at Chicago
Michael Maire
Michael Maire University of Chicago
Kristen Grauman
Kristen Grauman The University of Texas at Austin
Subhransu Maji
Subhransu Maji University of Massachusetts Amherst
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Paul A. Viola
Paul A. Viola Microsoft (United States)
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems

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