World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
10205
World Ranking
12861
National Ranking
5185

Aaron Lefohn 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 Aaron Lefohn 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: 74 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Aaron Lefohn 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 Aaron Lefohn 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

Aaron Lefohn is affiliated with Nvidia (United States) and has contributed extensively to the field of computer science, focusing on areas such as computer graphics and computer vision. Their body of work includes research on real-time rendering, neural appearance modeling, and material texture compression.

Lefohn's recent publications include:

  • Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting, 2020, ACM Transactions on Graphics
  • Neural Temporal Adaptive Sampling and Denoising, 2020, Computer Graphics Forum
  • SLANG.D: Fast, Modular and Differentiable Shader Programming, 2023, ACM Transactions on Graphics
  • Real-time Neural Appearance Models, 2024, ACM Transactions on Graphics
  • Random-Access Neural Compression of Material Textures, 2023, ACM Transactions on Graphics

The scientist has collaborated frequently with a core group of co-authors, including:

  • Benedikt Bitterli
  • Marco Salvi
  • Chris Wyman
  • Jacob Munkberg
  • Sai Praveen Bangaru

Most of their work has been published in the ACM Transactions on Graphics, a notable venue with five contributions, as well as papers in Computer Graphics Forum and arXiv (Cornell University).

Lefohn's research primarily spans the following fields of study:

  • Computer Science

Subfields of study include:

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

The main topics covered in their research are:

  • Computer Graphics and Visualization Techniques
  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Image and Signal Denoising Methods
  • Video Analysis and Summarization

Best Publications

  • A Survey of General-Purpose Computation on Graphics Hardware

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

  • Real-Time Volume Graphics

    Klaus Engel;Markus Hadwiger;Joe M. Kniss;Aaron E. Lefohn

  • Towards foveated rendering for gaze-tracked virtual reality

    Anjul Patney;Marco Salvi;Joohwan Kim;Anton Kaplanyan

  • Particle-Based Simulation of Fluids

    Simon Premoze;Tolga Tasdizen;James Bigler;Aaron E. Lefohn

  • 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

  • Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder

    Chakravarty R. Alla Chaitanya;Anton S. Kaplanyan;Christoph Schied;Marco Salvi

  • Glift: Generic, efficient, random-access GPU data structures

    Aaron E. Lefohn;Shubhabrata Sengupta;Joe Kniss;Robert Strzodka

  • A streaming narrow-band algorithm: interactive computation and visualization of level sets

    Aaron E. Lefohn;Joe M. Kniss;Charles D. Hansen;Ross T. Whitaker

  • Interactive, GPU-based level sets for 3D segmentation

    Aaron E. Lefohn;Joshua E. Cates;Ross T. Whitaker

  • Gaussian transfer functions for multi-field volume visualization

    J. Kniss;S. premoze;M. Ikits;A. Lefohn

  • A Survey of General-Purpose Computation on Graphics Hardware.

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

  • Spatiotemporal variance-guided filtering: real-time reconstruction for path-traced global illumination

    Christoph Schied;Anton Kaplanyan;Chris Wyman;Anjul Patney

  • General Purpose Computation on Graphics Hardware

    Aaron E. Lefohn;Ian Buck;Patrick S. McCormick;John D. Owens

  • GIST: an interactive, GPU-based level set segmentation tool for 3D medical images

    Joshua E. Cates;Aaron E. Lefohn;Ross T. Whitaker

  • Multi-fragment effects on the GPU using the k-buffer

    Louis Bavoil;Steven P. Callahan;Aaron Lefohn;João L. D. Comba

  • Interactive deformation and visualization of level set surfaces using graphics hardware

    A.E. Lefohn;J.M. Kniss;C.D. Hansen;R.T. Whitaker

  • A streaming narrow-band algorithm: interactive computation and visualization of level sets

    A.E. Lefohn;J.M. Kniss;C.D. Hansen;R.T. Whitaker

  • Interactive Depth of Field Using Simulated Diffusion on a GPU

    Michael Kass;Aaron Lefohn;John D. Owens

  • Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting

    Benedikt Bitterli;Chris Wyman;Matt Pharr;Peter Shirley

Frequent Co-Authors

John D. Owens
John D. Owens University of California, Davis
David Luebke
David Luebke Nvidia (United States)
Ross T. Whitaker
Ross T. Whitaker University of Utah
Charles Hansen
Charles Hansen University of Utah
Naga K. Govindaraju
Naga K. Govindaraju Microsoft (United States)
Fabio Pellacini
Fabio Pellacini Sapienza University of Rome
Gregory A. Voth
Gregory A. Voth University of Chicago
Peter Shirley
Peter Shirley Nvidia (United States)
Daniel Weiskopf
Daniel Weiskopf University of Stuttgart
Tolga Tasdizen
Tolga Tasdizen University of Utah

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