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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
136
Citations
104884
World Ranking
84
National Ranking
53

Richard Szeliski 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 Richard Szeliski 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: 402 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Richard Szeliski 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 Richard Szeliski 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: 136 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2015 - Member of the National Academy of Engineering For contributions to computer vision, computer graphics, and interactive image and video rendering.
  • 2008 - ACM Fellow For contributions to computational photography.

Overview

Richard Szeliski is affiliated with the University of Washington in the United States. Their research primarily spans the fields of Computer Science, Engineering, and Earth and Planetary Sciences.

The scientist's work covers several subfields including Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Aerospace Engineering, Geology, and Computational Mechanics.

Main research topics in their work include:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization
  • 3D Surveying and Cultural Heritage
  • 3D Shape Modeling and Analysis
  • Image Processing Techniques and Applications

Szeliski has published numerous scientific papers. Notable recent papers include:

  • "Consistent video depth estimation", 2020, ACM Transactions on Graphics
  • "Passthrough+", 2020, Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • "Feature Query Networks: Neural Surface Description for Camera Pose Refinement", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Consistent Video Depth Estimation", 2020, arXiv (Cornell University)
  • "MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes", 2023, arXiv (Cornell University)

The frequent coauthors collaborating with Szeliski include:

  • Jonathan T. Barron
  • Peter Hedman
  • Christian Reiser
  • Dor Verbin
  • Pratul P. Srinivasan

The scientist has contributed to book publications, including:

  • Computer Vision, published by Springer International Publishing in 2022

Frequent publication venues for Szeliski include:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Awards received by Richard Szeliski are:

  • Member of the National Academy of Engineering, 2015, for contributions to computer vision, computer graphics, and interactive image and video rendering
  • ACM Fellow, 2008, for contributions to computational photography

Best Publications

  • Computer Vision: Algorithms and Applications

    Richard Szeliski

  • A taxonomy and evaluation of dense two-frame stereo correspondence algorithms

    D. Scharstein;R. Szeliski;R. Zabih

  • Photo tourism: exploring photo collections in 3D

    Noah Snavely;Steven M. Seitz;Richard Szeliski

  • The lumigraph

    Steven J. Gortler;Radek Grzeszczuk;Richard Szeliski;Michael F. Cohen

  • A Database and Evaluation Methodology for Optical Flow

    Simon Baker;Daniel Scharstein;J. P. Lewis;Stefan Roth

  • A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms

    S.M. Seitz;B. Curless;J. Diebel;D. Scharstein

  • Modeling the World from Internet Photo Collections

    Noah Snavely;Steven M. Seitz;Richard Szeliski

  • Building Rome in a day

    Sameer Agarwal;Yasutaka Furukawa;Noah Snavely;Ian Simon

  • Building Rome in a day

    Sameer Agarwal;Noah Snavely;Ian Simon;Steven M. Seitz

  • Image Alignment and Stitching: A Tutorial

    Richard Szeliski

  • High-accuracy stereo depth maps using structured light

    D. Scharstein;R. Szeliski

  • High-quality video view interpolation using a layered representation

    C. Lawrence Zitnick;Sing Bing Kang;Matthew Uyttendaele;Simon Winder

  • Layered depth images

    Jonathan Shade;Steven Gortler;Li-wei He;Richard Szeliski

  • Edge-preserving decompositions for multi-scale tone and detail manipulation

    Zeev Farbman;Raanan Fattal;Dani Lischinski;Richard Szeliski

  • A Database and Evaluation Methodology for Optical Flow

    S. Baker;D. Scharstein;J.P. Lewis;S. Roth

  • Digital photography with flash and no-flash image pairs

    Georg Petschnigg;Richard Szeliski;Maneesh Agrawala;Michael Cohen

  • Video mosaics for virtual environments

    R. Szeliski

  • Creating full view panoramic image mosaics and environment maps

    Richard Szeliski;Heung-Yeung Shum

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

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

  • Synthesizing realistic facial expressions from photographs

    Frédéric Pighin;Jamie Hecker;Dani Lischinski;Richard Szeliski

Frequent Co-Authors

Sing Bing Kang
Sing Bing Kang Zillow Group (United States)
Matthew T. Uyttendaele
Matthew T. Uyttendaele Microsoft (United States)
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Sudipta N. Sinha
Sudipta N. Sinha Microsoft (United States)
David Salesin
David Salesin Google (United States)
Steven M. Seitz
Steven M. Seitz University of Washington
Michael F. Cohen
Michael F. Cohen Facebook (United States)
Brian Curless
Brian Curless University of Washington
Gary W. Flake
Gary W. Flake Independent Scientist / Consultant, US
Steven M. Drucker
Steven M. Drucker Microsoft (United States)

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