World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
29860
World Ranking
1928
National Ranking
979

Paul Debevec 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 Paul Debevec 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: 260 publications — 65th percentile

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

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

Paul Debevec 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 Paul Debevec 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: 69 D-Index — 87th percentile

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

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

Overview

Paul Debevec is a researcher affiliated with Google in the United States, specializing primarily in computer science. Their work focuses extensively on computer vision, computer graphics, and image processing, with a notable concentration on advanced vision and imaging as well as computer graphics and visualization techniques.

Their research spans several subfields within computer science, including computer vision and pattern recognition, computer graphics and computer-aided design, computational mechanics, atomic and molecular physics and optics, and geology. This multidisciplinary engagement reflects a broad spectrum of scientific inquiry related to imaging and modeling technologies.

Among their recent publications are several articles appearing in prestigious venues such as ACM Transactions on Graphics, arXiv (Cornell University), and IEEE Transactions on Pattern Analysis and Machine Intelligence. Noteworthy papers include:

  • NeRFactor, 2021, ACM Transactions on Graphics
  • Immersive light field video with a layered mesh representation, 2020, ACM Transactions on Graphics
  • Total relighting, 2021, ACM Transactions on Graphics
  • NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination, 2021, arXiv (Cornell University)
  • Baking Neural Radiance Fields for Real-Time View Synthesis, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent co-authors collaborating with Paul Debevec include Jonathan T. Barron, Chloe LeGendre, Christoph Rhemann, Sean Fanello, and Xiuming Zhang, with collaboration counts ranging from four to six publications each. This reflects a network of researchers jointly advancing topics in imaging and computer graphics.

Their body of work is often published in these venues:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • The Digital Production Symposium

Paul Debevec's research extensively covers the following main topics:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • 3D Shape Modeling and Analysis
  • Color Science and Applications
  • Generative Adversarial Networks and Image Synthesis

Best Publications

  • Recovering high dynamic range radiance maps from photographs

    Paul E. Debevec;Jitendra Malik

  • Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach

    Paul E. Debevec;Camillo J. Taylor;Jitendra Malik

  • High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting

    Erik Reinhard;Greg Ward;Summant Pattanaik;Paul Debevec

  • Rendering synthetic objects into real scenes: bridging traditional and image-based graphics with global illumination and high dynamic range photography

    Paul Debevec

  • Acquiring the reflectance field of a human face

    Paul Debevec;Tim Hawkins;Chris Tchou;Haarm-Pieter Duiker

  • Recovering high dynamic range radiance maps from photographs

    Unknown

  • Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping

    Paul Debevec;Yizhou Yu;George Boshokov

  • Inverse global illumination: recovering reflectance models of real scenes from photographs

    Yizhou Yu;Paul Debevec;Jitendra Malik;Tim Hawkins

  • Rendering for an interactive 360° light field display

    Andrew Jones;Ian McDowall;Hideshi Yamada;Mark Bolas

  • Image-based lighting

    Paul Debevec

  • High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)

    Erik Reinhard;Greg Ward;Sumanta Pattanaik;Paul Debevec

  • DeepView: View Synthesis With Learned Gradient Descent

    John Flynn;Michael Broxton;Paul Debevec;Matthew DuVall

  • NeRFactor

    Unknown

  • Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination

    Wan-Chun Ma;Tim Hawkins;Pieter Peers;Charles-Felix Chabert

  • Modeling and Rendering Architecture from Photographs

    Paul Ernest Debevec;Jitendra Malik

  • Performance relighting and reflectance transformation with time-multiplexed illumination

    Andreas Wenger;Andrew Gardner;Chris Tchou;Jonas Unger

  • Dynamic shape capture using multi-view photometric stereo

    Daniel Vlasic;Pieter Peers;Ilya Baran;Paul Debevec

  • Image-based modeling, rendering, and lighting

    P. Debevec;L. McMillan

  • High dynamic range imaging

    Paul Debevec;Erik Reinhard;Greg Ward;Sumanta Pattanaik

  • Single image portrait relighting

    Tiancheng Sun;Jonathan T. Barron;Yun-Ta Tsai;Zexiang Xu

  • A lighting reproduction approach to live-action compositing

    Paul Debevec;Andreas Wenger;Chris Tchou;Andrew Gardner

  • Linear light source reflectometry

    Andrew Gardner;Chris Tchou;Tim Hawkins;Paul Debevec

  • Multiview face capture using polarized spherical gradient illumination

    Abhijeet Ghosh;Graham Fyffe;Borom Tunwattanapong;Jay Busch

Frequent Co-Authors

Pieter Peers
Pieter Peers William & Mary
Mark Bolas
Mark Bolas Microsoft (United States)
Erik Reinhard
Erik Reinhard InterDigital (United States)
Christoph Rhemann
Christoph Rhemann Google (United States)
Sean Ryan Fanello
Sean Ryan Fanello Google (United States)
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Jonathan T. Barron
Jonathan T. Barron Google (United States)
Shahram Izadi
Shahram Izadi Google (United States)
Jitendra Malik
Jitendra Malik University of California, Berkeley
Hao Li
Hao Li University of California, Berkeley

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