World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
81
Citations
24508
World Ranking
1032
National Ranking
550

Gordon Wetzstein 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 Gordon Wetzstein 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: 300 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Gordon Wetzstein 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 Gordon Wetzstein 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: 81 D-Index — 93rd percentile

93% 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

  • 2018 - Fellow of Alfred P. Sloan Foundation

Overview

Gordon Wetzstein was affiliated with Stanford University in the United States. Their research spanned multiple areas within computer science and engineering, with a particular focus on computer vision, computer graphics, optics, and advanced imaging technologies. Their scholarly output included over 360 publications across related fields.

The main fields of study for Wetzstein included:

  • Computer Science
  • Engineering

Within these fields, they specialized in subfields such as:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Media Technology
  • Computational Mechanics
  • Atomic and Molecular Physics, and Optics

Wetzstein's research topics focused on areas including:

  • Computer Graphics and Visualization Techniques
  • Advanced Vision and Imaging
  • Advanced Optical Imaging Technologies
  • 3D Shape Modeling and Analysis
  • Generative Adversarial Networks and Image Synthesis
  • Virtual Reality Applications and Impacts
  • Advanced Optical Sensing Technologies

Among their recent papers were:

  • Efficient Geometry-aware 3D Generative Adversarial Networks, 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Inference in artificial intelligence with deep optics and photonics, 2020, published in Nature
  • Neural holography with camera-in-the-loop training, 2020, published in ACM Transactions on Graphics
  • Toward the next-generation VR/AR optics: a review of holographic near-eye displays from a human-centric perspective, 2020, published in Optica
  • Advances in Neural Rendering, 2022, published in Computer Graphics Forum

Wetzstein collaborated frequently with various researchers, including:

  • Leonidas Guibas
  • David B. Lindell
  • Yifan Peng
  • Suyeon Choi
  • Julien Martel

Their work was often published in venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Optica
  • Computer Graphics Forum
  • Optics Express

Gordon Wetzstein received recognition including the Alfred P. Sloan Foundation fellowship in 2018.

Best Publications

  • Efficient Geometry-aware 3D Generative Adversarial Networks

    Unknown

  • Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy

    Robert Prevedel;Young-Gyu Yoon;Maximilian Hoffmann;Maximilian Hoffmann;Maximilian Hoffmann;Nikita Pak

  • Inference in artificial intelligence with deep optics and photonics.

    Gordon Wetzstein;Aydogan Ozcan;Sylvain Gigan;Shanhui Fan

  • Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

    Vincent Sitzmann;Michael Zollhoefer;Gordon Wetzstein

  • pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

    Eric R. Chan;Marco Monteiro;Petr Kellnhofer;Jiajun Wu

  • Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting

    Gordon Wetzstein;Douglas Lanman;Matthew Hirsch;Ramesh Raskar

  • DeepVoxels: Learning Persistent 3D Feature Embeddings

    Vincent Sitzmann;Justus Thies;Felix Heide;Matthias NieBner

  • Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification.

    Julie Chang;Vincent Sitzmann;Xiong Dun;Wolfgang Heidrich

  • Implicit Neural Representations with Periodic Activation Functions

    Vincent Sitzmann;Julien N. P. Martel;Alexander W. Bergman;David B. Lindell

  • Confocal non-line-of-sight imaging based on the light-cone transform.

    Matthew O’Toole;David B. Lindell;Gordon Wetzstein

  • Saliency in VR: How Do People Explore Virtual Environments?

    Vincent Sitzmann;Ana Serrano;Amy Pavel;Maneesh Agrawala

  • Compressive light field photography using overcomplete dictionaries and optimized projections

    Kshitij Marwah;Gordon Wetzstein;Yosuke Bando;Ramesh Raskar

  • Neural holography with camera-in-the-loop training

    Yifan Peng;Suyeon Choi;Nitish Padmanaban;Gordon Wetzstein

  • End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging

    Vincent Sitzmann;Steven Diamond;Yifan Peng;Xiong Dun

  • Toward the next-generation VR/AR optics: a review of holographic near-eye displays from a human-centric perspective.

    Chenliang Chang;Kiseung Bang;Gordon Wetzstein;Byoungho Lee

  • The light field stereoscope

    Fu-Chung Huang;David Luebke;Gordon Wetzstein

  • State of the Art on Neural Rendering

    Ayush Tewari;Ohad Fried;Justus Thies;Vincent Sitzmann

  • Non-line-of-sight imaging

    Daniele Faccio;Andreas Velten;Gordon Wetzstein

  • The light field stereoscope: immersive computer graphics via factored near-eye light field displays with focus cues

    Fu-Chung Huang;Kevin Chen;Gordon Wetzstein

  • Fast and flexible convolutional sparse coding

    Felix Heide;Wolfgang Heidrich;Gordon Wetzstein

  • Layered 3D: tomographic image synthesis for attenuation-based light field and high dynamic range displays

    Gordon Wetzstein;Douglas Lanman;Wolfgang Heidrich;Ramesh Raskar

  • DeepVoxels: Learning Persistent 3D Feature Embeddings

    Vincent Sitzmann;Justus Thies;Felix Heide;Matthias Nießner

  • Advances in neural rendering

    A. Tewari;O. Fried;J. Thies;V. Sitzmann

  • Saliency in VR: How do people explore virtual environments?

    Vincent Sitzmann;Ana Serrano;Amy Pavel;Maneesh Agrawala

Frequent Co-Authors

Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Felix Heide
Felix Heide Princeton University
Oliver Bimber
Oliver Bimber Johannes Kepler University of Linz
Diego Gutierrez
Diego Gutierrez University of Zaragoza
Qionghai Dai
Qionghai Dai Tsinghua University
Michael Zollhöfer
Michael Zollhöfer Stanford University
Maneesh Agrawala
Maneesh Agrawala Stanford University
Henry Fuchs
Henry Fuchs University of North Carolina at Chapel Hill
Karl Deisseroth
Karl Deisseroth Stanford University

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