World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
21083
World Ranking
3345
National Ranking
1621

David Luebke 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 Luebke 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 220 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

David Luebke 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 Luebke sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to GPU computing and computer graphics
  • 2009 - ACM Senior Member

Overview

David Luebke is affiliated with Nvidia in the United States. Their research encompasses multiple fields including computer science and neuroscience, with a primary focus on computer vision and pattern recognition as well as cognitive neuroscience. The scientist's work spans a range of topics centered on visual attention, imaging, perception, and sensory interactions.

Luebke's main topics of research include:

  • Visual Attention and Saliency Detection
  • Advanced Vision and Imaging
  • Visual Perception and Processing Mechanisms
  • Tactile and Sensory Interactions
  • Image and Video Quality Assessment
  • Computer Graphics and Visualization Techniques
  • Face Recognition and Analysis

Their frequent coauthors have been Vasha DuTell, Bruce Walter, Ruth Rosenholtz, Peter Shirley, and Morgan McGuire, each collaborating on three publications. This collaborative network is reflected in research outputs across various high-impact venues.

Luebke's publications commonly appear in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • Optics Express
  • ACM Transactions on Applied Perception
  • Journal of Vision

Selected recent papers illustrate the scope and focus of their research:

  • "Toward Standardized Classification of Foveated Displays," 2020, IEEE Transactions on Visualization and Computer Graphics
  • "Eccentricity Effects on Blur and Depth Perception," 2020, Optics Express
  • "Efficient Dataflow Modeling of Peripheral Encoding in the Human Visual System," 2022, ACM Transactions on Applied Perception
  • "Gaze-Sensing LEDs for Head Mounted Displays," 2020, arXiv (Cornell University)
  • "Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos," 2023, arXiv (Cornell University)

David Luebke has been recognized as an IEEE Fellow in 2017 for contributions to GPU computing and computer graphics and was named an ACM Senior Member in 2009. Their research integrates foundational and applied approaches to visual cognition, graphics technology, and sensory processing systems, often advancing the understanding of human-computer interaction in immersive and image-processing environments.

Best Publications

  • A Survey of General-Purpose Computation on Graphics Hardware

    John D. Owens;David Luebke;Naga Govindaraju;Mark Harris

  • GPU Computing

    J.D. Owens;M. Houston;D. Luebke;S. Green

  • Level of Detail for 3D Graphics

    David Luebke;Martin Reddy;Jonathan D. Cohen;Amitabh Varshney

  • OptiX: a general purpose ray tracing engine

    Steven G. Parker;James Bigler;Andreas Dietrich;Heiko Friedrich

  • View-dependent simplification of arbitrary polygonal environments

    David Luebke;Carl Erikson

  • A developer's survey of polygonal simplification algorithms

    D.P. Luebke

  • Fast BVH Construction on GPUs

    Christian Lauterbach;Michael Garland;Shubhabrata Sengupta;David P. Luebke

  • Towards foveated rendering for gaze-tracked virtual reality

    Anjul Patney;Marco Salvi;Joohwan Kim;Anton Kaplanyan

  • Near-eye light field displays

    Douglas Lanman;David Luebke

  • Portals and mirrors: simple, fast evaluation of potentially visible sets

    David Luebke;Chris Georges

  • The light field stereoscope

    Fu-Chung Huang;David Luebke;Gordon Wetzstein

  • GPGPU: general-purpose computation on graphics hardware

    David Luebke;Mark Harris;Naga Govindaraju;Aaron Lefohn

  • GPGPU: general purpose computation on graphics hardware

    David Luebke;Mark Harris;Jens Krüger;Tim Purcell

  • A multigrid solver for boundary value problems using programmable graphics hardware

    Nolan Goodnight;Cliff Woolley;Gregory Lewin;David Luebke

  • CUDA: Scalable parallel programming for high-performance scientific computing

    D. Luebke

  • How GPUs Work

    D. Luebke;G. Humphreys

  • Perceptually driven simplification for interactive rendering

    David P. Luebke;Benjamin Hallen

  • A high-accuracy, low-cost localization system for wireless sensor networks

    Radu Stoleru;Tian He;John A. Stankovic;David Luebke

  • A multigrid solver for boundary value problems using programmable graphics hardware

    Nolan Goodnight;Cliff Woolley;Gregory Lewin;David Luebke

  • Near-eye microlens array displays

    David Patrick Luebke;Douglas Lanman;Thomas F. Fox;Gerrit Slavenburg

Frequent Co-Authors

Peter Shirley
Peter Shirley Nvidia (United States)
Samuli Laine
Samuli Laine Nvidia (United States)
Timo Aila
Timo Aila Aalto University
Jan Kautz
Jan Kautz Nvidia (United States)
Kevin Skadron
Kevin Skadron University of Virginia
Aaron Lefohn
Aaron Lefohn Nvidia (United States)
Michael Garland
Michael Garland Nvidia (United States)
John D. Owens
John D. Owens University of California, Davis
Amitabh Varshney
Amitabh Varshney University of Maryland, College Park
Rui Wang
Rui Wang Zhejiang University

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