World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5584
World Ranking
13010
National Ranking
1594

Pedro V. Sander 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 Pedro V. Sander 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: 107 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Pedro V. Sander 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 Pedro V. Sander 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: 32 D-Index — 10th percentile

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

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

Overview

Pedro V. Sander is affiliated with the Hong Kong University of Science and Technology in China. Their research spans multiple areas within computer science and engineering, focusing notably on computer vision and computer graphics.

The main fields of study covered by Pedro V. Sander include:

  • Computer Science
  • Engineering

Subfields of study for their work feature:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Radiation
  • Computational Mechanics
  • Signal Processing

The primary research topics addressed involve:

  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Computer Graphics and Visualization Techniques
  • Advanced X-ray Imaging Techniques
  • 3D Shape Modeling and Analysis
  • Digital Media Forensic Detection
  • Generative Adversarial Networks and Image Synthesis

Pedro V. Sander has frequently published in several venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Computer-Aided Design
  • ACM Transactions on Graphics

Recent papers authored or co-authored by Pedro V. Sander include:

  • Deblur-NeRF: Neural Radiance Fields from Blurry Images, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Sketch-Guided Cartoon Video Inbetweening, 2021, IEEE Transactions on Visualization and Computer Graphics
  • ShapeArchit: Shape-Inspired Architecture Design with Space Planning, 2021, Computer-Aided Design
  • Neural Parameterization for Dynamic Human Head Editing, 2022, ACM Transactions on Graphics
  • Rationalizing Architectural Surfaces Based on Clustering of Joints, 2021, IEEE Transactions on Visualization and Computer Graphics

The scientist has collaborated with several frequent co-authors, including:

  • Jing Liao
  • Xiaoyu Li
  • Jue Wang
  • Bo Zhang
  • Li Ma

Best Publications

  • Texture mapping progressive meshes

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

  • Relational joins on graphics processors

    Bingsheng He;Ke Yang;Rui Fang;Mian Lu

  • Multi-chart geometry images

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

  • Relational query coprocessing on graphics processors

    Bingsheng He;Mian Lu;Ke Yang;Rui Fang

  • Silhouette clipping

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

  • Deep exemplar-based colorization

    Mingming He;Dongdong Chen;Jing Liao;Pedro V. Sander

  • Deep Exemplar-Based Video Colorization

    Bo Zhang;Mingming He;Jing Liao;Pedro V. Sander

  • Signal-specialized parametrization

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

  • Geometry videos: a new representation for 3D animations

    Hector M. Briceño;Pedro V. Sander;Leonard McMillan;Steven Gortler

  • Deblur-NeRF: Neural Radiance Fields from Blurry Images

    Unknown

  • Parallel Data Mining on Graphics Processors

    Wenbin Fang;Ka Keung Lau;Mian Lu;Xiangye Xiao

  • Accelerating real-time shading with reverse reprojection caching

    Diego Nehab;Pedro V. Sander;Jason Lawrence;Natalya Tatarchuk

  • Progressive Color Transfer With Dense Semantic Correspondences

    Mingming He;Jing Liao;Dongdong Chen;Lu Yuan

  • GPUQP: query co-processing using graphics processors

    Rui Fang;Bingsheng He;Mian Lu;Ke Yang

  • Blind Geometric Distortion Correction on Images Through Deep Learning

    Xiaoyu Li;Bo Zhang;Pedro V. Sander;Jing Liao

  • Anisotropic blue noise sampling

    Hongwei Li;Li-Yi Wei;Pedro V. Sander;Chi-Wing Fu

  • Amortized supersampling

    Lei Yang;Diego Nehab;Pedro V. Sander;Pitchaya Sitthi-amorn

  • Discontinuity edge overdraw

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

  • Parallel view-dependent refinement of progressive meshes

    Liang Hu;Pedro V. Sander;Hugues Hoppe

  • Fast triangle reordering for vertex locality and reduced overdraw

    Pedro V. Sander;Diego Nehab;Joshua Barczak

  • Progressive buffers: view-dependent geometry and texture LOD rendering

    Pedro V. Sander;Jason L. Mitchell

  • Automating Image Morphing Using Structural Similarity on a Halfway Domain

    Jing Liao;Rodolfo S. Lima;Diego Nehab;Hugues Hoppe

  • Interactive painterly stylization of images, videos and 3D animations

    Jingwan Lu;Pedro V. Sander;Adam Finkelstein

Frequent Co-Authors

Hugues Hoppe
Hugues Hoppe Google (United States)
Steven J. Gortler
Steven J. Gortler Harvard University
Qiong Luo
Qiong Luo Hong Kong University of Science and Technology
Bingsheng He
Bingsheng He National University of Singapore
Lu Yuan
Lu Yuan Microsoft (United States)
Naga K. Govindaraju
Naga K. Govindaraju Microsoft (United States)
Amine Bermak
Amine Bermak Hamad bin Khalifa University
John Snyder
John Snyder Microsoft (United States)
Chi-Wing Fu
Chi-Wing Fu Chinese University of Hong Kong
Elmar Eisemann
Elmar Eisemann Delft University of Technology

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