World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
11327
World Ranking
12368
National Ranking
5010

Jason Saragih 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 Jason Saragih 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: 93 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Jason Saragih 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 Jason Saragih 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Jason Saragih is affiliated with Facebook in the United States and has contributed extensively to the fields of computer science and engineering. Their research has a strong focus on computer vision and pattern recognition, computational mechanics, and computer graphics and computer-aided design. They have also worked in related areas such as human-computer interaction and neurology.

The scientist's work covers a variety of topics, including face recognition and analysis, advanced vision and imaging, 3D shape modeling and analysis, generative adversarial networks and image synthesis, computer graphics and visualization techniques, human pose and action recognition, and facial nerve paralysis treatment and research.

Jason Saragih has authored a number of papers published in reputable venues. Some of their recent publications include:

  • Mixture of volumetric primitives for efficient neural rendering, 2021, ACM Transactions on Graphics
  • Authentic volumetric avatars from a phone scan, 2022, ACM Transactions on Graphics
  • Deep relightable appearance models for animatable faces, 2021, ACM Transactions on Graphics
  • The eyes have it, 2020, ACM Transactions on Graphics
  • Multiface: A Dataset for Neural Face Rendering, 2022, arXiv (Cornell University)

Frequent co-authors collaborating with Jason Saragih include:

  • Tomas Simon
  • Yaser Sheikh
  • Stephen Lombardi
  • Shih-En Wei
  • Gabriel Schwartz

The scientist frequently publishes their research in venues such as:

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

Best Publications

  • The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression

    Patrick Lucey;Jeffrey F. Cohn;Takeo Kanade;Jason Saragih

  • Deformable Model Fitting by Regularized Landmark Mean-Shift

    Jason M. Saragih;Simon Lucey;Jeffrey F. Cohn

  • Neural volumes: learning dynamic renderable volumes from images

    Stephen Lombardi;Tomas Simon;Jason Saragih;Gabriel Schwartz

  • PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization

    Shunsuke Saito;Tomas Simon;Jason Saragih;Hanbyul Joo

  • Face alignment through subspace constrained mean-shifts

    Jason M. Saragih;Simon Lucey;Jeffrey F. Cohn

  • State of the Art on Neural Rendering

    Ayush Tewari;Ohad Fried;Justus Thies;Vincent Sitzmann

  • Deep appearance models for face rendering

    Stephen Lombardi;Jason Saragih;Tomas Simon;Yaser Sheikh

  • Mixture of volumetric primitives for efficient neural rendering

    Stephen Lombardi;Tomas Simon;Gabriel Schwartz;Michael Zollhoefer

  • A Nonlinear Discriminative Approach to AAM Fitting

    J. Saragih;R. Goecke

  • Authentic volumetric avatars from a phone scan

    Unknown

  • Person-independent facial expression detection using Constrained Local Models

    Sien. W. Chew;Patrick Lucey;Simon Lucey;Jason Saragih

  • Automated Facial Expression Recognition System

    Andrew Ryan;Jeffery F. Cohn;Simon Lucey;Jason Saragih

  • Modeling Facial Geometry Using Compositional VAEs

    Timur Bagautdinov;Chenglei Wu;Jason Saragih;Pascal Fua

  • SimPoE: Simulated Character Control for 3D Human Pose Estimation

    Ye Yuan;Shih-En Wei;Tomas Simon;Kris Kitani

  • VR facial animation via multiview image translation

    Shih-En Wei;Jason Saragih;Tomas Simon;Adam W. Harley

  • Real-time avatar animation from a single image

    Jason M. Saragih;Simon Lucey;Jeffrey F. Cohn

  • Learning AAM fitting through simulation

    Jason Saragih;Roland Göcke

  • Evaluating AAM fitting methods for facial expression recognition

    Akshay Asthana;Jason Saragih;Michael Wagner;Roland Goecke

  • Drivable Volumetric Avatars using Texel-Aligned Features

    Unknown

  • In the Pursuit of Effective Affective Computing: The Relationship Between Features and Registration

    S. W. Chew;P. Lucey;S. Lucey;J. Saragih

  • Learning Compositional Radiance Fields of Dynamic Human Heads

    Ziyan Wang;Timur Bagautdinov;Stephen Lombardi;Tomas Simon

  • Pixel Codec Avatars

    Shugao Ma;Tomas Simon;Jason Saragih;Dawei Wang

Frequent Co-Authors

Tomas Simon
Tomas Simon META Group
Yaser Sheikh
Yaser Sheikh Facebook (United States)
Simon Lucey
Simon Lucey University of Adelaide
Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh
Fernando De la Torre
Fernando De la Torre Carnegie Mellon University
Roland Goecke
Roland Goecke University of New South Wales
Sridha Sridharan
Sridha Sridharan Queensland University of Technology
Michael Zollhöfer
Michael Zollhöfer Stanford University
Shunsuke Saito
Shunsuke Saito META Health
Patrick Lucey
Patrick Lucey Stats Perform

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