World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
15229
World Ranking
7012
National Ranking
3074

James Davis 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 James Davis 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: 108 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.

James Davis 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 James Davis 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

James Davis is an academic researcher affiliated with the University of California, Santa Cruz in the United States. The primary fields of study in Davis's work include Computer Science and Engineering.

The researcher's subfields focus mainly on:

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Oceanography
  • Computer Science Applications
  • Earth-Surface Processes

Davis's work covers various main topics, with multiple publications related to:

  • Coastal and Marine Dynamics
  • Underwater Acoustics Research
  • Ocean Waves and Remote Sensing
  • 3D Shape Modeling and Analysis
  • Face Recognition and Analysis
  • Teaching and Learning Programming
  • Advanced Image Processing Techniques

The research output includes contributions to several recent papers such as:

  • Automated rip current detection with region based convolutional neural networks, 2021, Coastal Engineering
  • RipViz: Finding Rip Currents by Learning Pathline Behavior, 2023, IEEE Transactions on Visualization and Computer Graphics
  • Flow-Based Rip Current Detection and Visualization, 2022, IEEE Access
  • Enhancing Complex Light Beam Propagation in Turbulent Atmosphere with Active Convolved Illumination, 2024, ACS Photonics
  • How much does input data type impact final face model accuracy?, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent coauthors collaborating with Davis include:

  • Akila de Silva
  • Alex Pang
  • Gregory Dusek
  • Fahim Hasan Khan
  • Durdu Ö. Güney

Davis has published multiple works in well-known venues such as:

  • arXiv (Cornell University)
  • JMIRx Med
  • 2021 IEEE Frontiers in Education Conference (FIE)
  • SSRN Electronic Journal
  • Coastal Engineering

Best Publications

  • The digital Michelangelo project: 3D scanning of large statues

    Marc Levoy;Kari Pulli;Brian Curless;Szymon Rusinkiewicz

  • SCAPE: shape completion and animation of people

    Dragomir Anguelov;Praveen Srinivasan;Daphne Koller;Sebastian Thrun

  • Spatial-Depth Super Resolution for Range Images

    Qingxiong Yang;Ruigang Yang;J. Davis;D. Nister

  • Copy detection mechanisms for digital documents

    Sergey Brin;James Davis;Héctor García-Molina

  • Filling holes in complex surfaces using volumetric diffusion

    J. Davis;S.R. Marschner;M. Garr;M. Levoy

  • Spacetime stereo: a unifying framework for depth from triangulation

    J. Davis;R. Ramamoorthi;S. Rusinkiewicz

  • Spacetime stereo: a unifying framework for depth from triangulation

    J. Davis;D. Nehab;R. Ramamoorthi;S. Rusinkiewicz

  • Efficiently combining positions and normals for precise 3D geometry

    Diego Nehab;Szymon Rusinkiewicz;James Davis;Ravi Ramamoorthi

  • Mosaics of scenes with moving objects

    J. Davis

  • Detailed Human Shape and Pose from Images

    A.O. Balan;L. Sigal;M.J. Black;J.E. Davis

  • Fusion of time-of-flight depth and stereo for high accuracy depth maps

    Jiejie Zhu;Liang Wang;Ruigang Yang;J. Davis

  • The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces

    Dragomir Anguelov;Praveen Srinivasan;Hoi-cheung Pang;Daphne Koller

  • LidarBoost: Depth superresolution for ToF 3D shape scanning

    Sebastian Schuon;Christian Theobalt;James Davis;Sebastian Thrun

  • Looking around the corner using transient imaging

    Ahmed Kirmani;Tyler Hutchison;James Davis;Ramesh Raskar

  • A sketching interface for articulated figure animation

    James Davis;Maneesh Agrawala;Erika Chuang;Zoran Popović

  • High-quality scanning using time-of-flight depth superresolution

    S. Schuon;C. Theobalt;J. Davis;S. Thrun

  • Reliability Fusion of Time-of-Flight Depth and Stereo Geometry for High Quality Depth Maps

    Jiejie Zhu;Liang Wang;Ruigang Yang;J E Davis

  • The digital Michelangelo project

    M. Levoy;S. Rusinkiewicz;M. Ginzton;J. Ginsberg

  • Real-time foreground segmentation via range and color imaging

    R. Crabb;C. Tracey;A. Puranik;J. Davis

  • A sketching interface for articulated figure animation

    James Davis;Maneesh Agrawala;Erika Chuang;Zoran Popović

Frequent Co-Authors

Ruigang Yang
Ruigang Yang University of Kentucky
Oliver Wang
Oliver Wang Adobe Systems (United States)
Szymon Rusinkiewicz
Szymon Rusinkiewicz Princeton University
Sebastian Thrun
Sebastian Thrun Stanford University
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Qingxiong Yang
Qingxiong Yang City University of Hong Kong
Marc Levoy
Marc Levoy Google (United States)
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Daphne Koller
Daphne Koller insitro Inc.

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Related Online Degrees & Career Pathways

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