World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
11944
World Ranking
5046
National Ranking
2346

John Snyder 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 John Snyder 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: 104 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

John Snyder 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 John Snyder 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: 52 D-Index — 65th percentile

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

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

Overview

John Snyder is affiliated with Microsoft in the United States. Their research spans multiple domains within engineering and computer science, with particular emphasis on computational mechanics and computer graphics.

The scientist's work frequently appears in publication venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Computer-Aided Design
  • IEEE Transactions on Visualization and Computer Graphics
  • Proceedings of the ACM on Computer Graphics and Interactive Techniques

Key research topics in John Snyder's oeuvre include:

  • 3D Shape Modeling and Analysis
  • Advanced Numerical Analysis Techniques
  • Computer Graphics and Visualization Techniques
  • Image Processing and 3D Reconstruction
  • Dynamics and Control of Mechanical Systems
  • Advanced Materials and Mechanics
  • Music Technology and Sound Studies

The scientist has collaborated regularly with several co-authors, notably:

  • Guying Lin
  • Congyi Zhang
  • Wenping Wang
  • Taku Komura
  • Lei Yang

Recent publications authored or co-authored by John Snyder include:

  • Computation of Filament Winding Paths with Concavities and Friction, 2021, Computer-Aided Design
  • On Optimal Sampling for Learning SDF Using MLPs Equipped With Positional Encoding, 2024, IEEE Transactions on Visualization and Computer Graphics
  • Real-Time Sand Dune Simulation, 2023, Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • Patch-Grid: An Efficient and Feature-Preserving Neural Implicit Surface Representation, 2023, arXiv (Cornell University)
  • Neural Parametric Surfaces for Shape Modeling, 2023, arXiv (Cornell University)

John Snyder's main fields of study are Engineering, with 19 publications, and Computer Science, with 8 publications. Subfields include Computational Mechanics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Mechanical Engineering, and Control and Systems Engineering.

Best Publications

  • Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments

    Peter-Pike Sloan;Jan Kautz;John Snyder

  • Texture mapping progressive meshes

    Pedro V. Sander;John Snyder;Steven J. Gortler;Hugues Hoppe

  • Large mesh deformation using the volumetric graph Laplacian

    Kun Zhou;Jin Huang;John Snyder;Xinguo Liu

  • Method for sorting 3D object geometry among image chunks for rendering in a layered graphics rendering system

    John M. Snyder;Conal M. Elliott

  • Method and system for improving shadowing in a graphics rendering system

    John M. Snyder;James T. Kajiya;Steven A. Gabriel;Michael A. Toelle

  • Foveated 3D graphics

    Brian Guenter;Mark Finch;Steven Drucker;Desney Tan

  • Hierarchical image caching for accelerated walkthroughs of complex environments

    Jonathan Shade;Dani Lischinski;David H. Salesin;Tony DeRose

  • Multi-chart geometry images

    P. V. Sander;Z. J. Wood;S. J. Gortler;J. Snyder

  • Interval analysis for computer graphics

    John M. Snyder

  • Clustered principal components for precomputed radiance transfer

    Peter-Pike Sloan;Jesse Hall;John Hart;John Snyder

  • Fast, arbitrary BRDF shading for low-frequency lighting using spherical harmonics

    Jan Kautz;Peter-Pike Sloan;John Snyder

  • Silhouette clipping

    Pedro V. Sander;Xianfeng Gu;Steven J. Gortler;Hugues Hoppe

  • Method and system for multi-pass rendering

    James T. Kajiya;John M. Snyder

  • Sprite compositor and method for performing lighting and shading operations using a compositor to combine factored image layers

    Jerome E. Lengyel;John Snyder

  • Local, deformable precomputed radiance transfer

    Peter-Pike Sloan;Ben Luna;John Snyder

  • Signal-specialized parametrization

    Pedro V. Sander;Steven J. Gortler;John Snyder;Hugues Hoppe

  • Ray tracing complex models containing surface tessellations

    John M. Snyder;Alan H. Barr

  • Real-time soft shadows in dynamic scenes using spherical harmonic exponentiation

    Zhong Ren;Rui Wang;John Snyder;Kun Zhou

  • Method for measuring the fidelity of warped image layer approximations in a real-time graphics rendering pipeline

    Jerome E. Lengyel;John Snyder;James T. Kajiya

  • Interval methods for multi-point collisions between time-dependent curved surfaces

    John M. Snyder;Adam R. Woodbury;Kurt Fleischer;Bena Currin

  • All-frequency rendering of dynamic, spatially-varying reflectance

    Jiaping Wang;Peiran Ren;Minmin Gong;John Snyder

Frequent Co-Authors

Baining Guo
Baining Guo Microsoft (United States)
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Kun Zhou
Kun Zhou Zhejiang University
Hugues Hoppe
Hugues Hoppe Google (United States)
Xin Tong
Xin Tong Microsoft Research Asia (China)
Steven J. Gortler
Steven J. Gortler Harvard University
Derek Nowrouzezahrai
Derek Nowrouzezahrai McGill University
Pedro V. Sander
Pedro V. Sander Hong Kong University of Science and Technology
Hujun Bao
Hujun Bao Zhejiang University
Rui Wang
Rui Wang Zhejiang University

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