World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
26224
World Ranking
2685
National Ranking
1333

David W. Jacobs 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 David W. Jacobs 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

David W. Jacobs 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 David W. Jacobs 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

David W. Jacobs is a researcher affiliated with the University of Maryland, College Park in the United States. Their work primarily spans the field of Computer Science, with a focus on several specialized subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Environmental Engineering, Computational Mechanics, and Civil and Structural Engineering.

The scientist's research covers a range of main topics, as reflected in their publications. These topics include:

  • Advanced Vision and Imaging
  • Face recognition and analysis
  • Optical measurement and interference techniques
  • Remote Sensing and LiDAR Applications
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Structural Engineering and Vibration Analysis

David W. Jacobs has contributed to multiple publication venues, frequently appearing in:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Practice Periodical on Structural Design and Construction
  • Bulletin of The Royal College of Surgeons of England

Among their recent papers are:

  • "SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Fast Light-Weight Near-Field Photometric Stereo," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Autoregressive Perturbations for Data Poisoning," 2022, arXiv (Cornell University)
  • "Towards Automatic Generation of Questions from Long Answers," 2020, arXiv (Cornell University)
  • "Live-Load Response of Eyebars on a 110-Year-Old Steel Truss Railroad Bridge," 2020, Practice Periodical on Structural Design and Construction

Frequent coauthors working alongside David W. Jacobs include:

  • Daniel Lichy
  • Soumyadip Sengupta
  • Bang Gong
  • Roni Sengupta
  • Angjoo Kanazawa

Best Publications

  • Lambertian reflectance and linear subspaces

    R. Basri;D.W. Jacobs

  • Localizing Parts of Faces Using a Consensus of Exemplars

    Peter N. Belhumeur;David W. Jacobs;David J. Kriegman;Neeraj Kumar

  • End-to-End Recovery of Human Shape and Pose

    Angjoo Kanazawa;Michael J. Black;David W. Jacobs;Jitendra Malik

  • Shape Classification Using the Inner-Distance

    Haibin Ling;D.W. Jacobs

  • A search engine for 3D models

    Thomas Funkhouser;Patrick Min;Michael Kazhdan;Joyce Chen

  • Leafsnap: a computer vision system for automatic plant species identification

    Neeraj Kumar;Peter N. Belhumeur;Arijit Biswas;David W. Jacobs

  • Mesh saliency

    Chang Ha Lee;Amitabh Varshney;David W. Jacobs

  • Generalized Multiview Analysis: A discriminative latent space

    Abhishek Sharma;Abhishek Kumar;Hal Daume;David W. Jacobs

  • Frontal to profile face verification in the wild

    Soumyadip Sengupta;Jun-Cheng Chen;Carlos Castillo;Vishal M. Patel

  • Stochastic completion fields: a neural model of illusory contour shape and salience

    Lance R. Williams;David W. Jacobs

  • Photometric Stereo with General, Unknown Lighting

    Ronen Basri;David Jacobs;Ira Kemelmacher

  • Dynamic changes in motivation in collaborative citizen-science projects

    Dana Rotman;Jenny Preece;Jen Hammock;Kezee Procita

  • Automatic thumbnail cropping and its effectiveness

    Bongwon Suh;Haibin Ling;Benjamin B. Bederson;David W. Jacobs

  • Determining the similarity of deformable shapes

    Ronen Basri;Luiz Costa;Davi Geiger;David Jacobs

  • Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch

    Abhishek Sharma;David W Jacobs

  • In search of illumination invariants

    H.F. Chen;P.N. Belhumeur;D.W. Jacobs

  • Birdsnap: Large-Scale Fine-Grained Visual Categorization of Birds

    Thomas Berg;Jiongxin Liu;Seung Woo Lee;Michelle L. Alexander

  • 3D Menagerie: Modeling the 3D Shape and Pose of Animals

    Silvia Zuffi;Angjoo Kanazawa;David W. Jacobs;Michael J. Black

  • SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild'

    Soumyadip Sengupta;Angjoo Kanazawa;Carlos D. Castillo;David W. Jacobs

  • Robust and efficient detection of salient convex groups

    D.W. Jacobs

Frequent Co-Authors

Ronen Basri
Ronen Basri Weizmann Institute of Science
Tom Goldstein
Tom Goldstein University of Maryland, College Park
Angjoo Kanazawa
Angjoo Kanazawa University of California, Berkeley
Peter N. Belhumeur
Peter N. Belhumeur Columbia University
Haibin Ling
Haibin Ling Westlake University
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Lise Getoor
Lise Getoor University of California, Santa Cruz
Michael Lindenbaum
Michael Lindenbaum Technion – Israel Institute of Technology
Daphna Weinshall
Daphna Weinshall Hebrew University of Jerusalem

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