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Tomas Akenine-Möller

Tomas Akenine-Möller

D-Index & Metrics

Computer Science

D-Index
42
Citations
11145
World Ranking
8206
National Ranking
3520

Tomas Akenine-Möller 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 Tomas Akenine-Möller 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: 242 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Tomas Akenine-Möller 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 Tomas Akenine-Möller 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Tomas Akenine-Möller is affiliated with Nvidia in the United States and has conducted research primarily in the field of computer science. Their work spans multiple subfields including computer vision and pattern recognition, computer graphics and computer-aided design, computational mechanics, biophysics, and cognitive neuroscience.

The scientist's research topics focus extensively on computer graphics and visualization techniques. Additional areas of study include advanced vision and imaging, 3D shape modeling and analysis, advanced image processing techniques, image enhancement techniques, computational geometry and mesh generation, and advanced image and video retrieval techniques.

Notable recent publications by Tomas Akenine-Möller include:

  • "FLIP," 2020, Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • "Understanding SSIM," 2020, arXiv (Cornell University)
  • "Random-Access Neural Compression of Material Textures," 2023, ACM Transactions on Graphics
  • "Visualizing Errors in Rendered High Dynamic Range Images," 2021, Lund University Publications (Lund University)
  • "Scalar Spatiotemporal Blue Noise Masks," 2021, arXiv (Cornell University)

Tomas Akenine-Möller frequently collaborates with several coauthors, including Jim Nilsson, Pontus Andersson, Bartlomiej Wronski, Pontus Ebelin, and Magnus Oskarsson. Their research contributions appear regularly in venues such as arXiv (Cornell University), Proceedings of the ACM on Computer Graphics and Interactive Techniques, ACM Transactions on Graphics, Lund University Publications, and ACM Transactions on Applied Perception.

Best Publications

  • Real-Time Rendering

    Tomas Akenine-Moller;Tomas Moller;Eric Haines

  • Fast 3D triangle-box overlap testing

    Tomas Akenine-Möller

  • Real-Time Rendering, Second Edition

    Eric Haines;Naty Hoffman;Tomas Akenine-Möller

  • A geometry-based soft shadow volume algorithm using graphics hardware

    Ulf Assarsson;Tomas Akenine-Möller

  • Collision Detection for Continuously Deforming Bodies

    Thomas Larsson;Tomas Akenine-Möller

  • Wavelet importance sampling: efficiently evaluating products of complex functions

    Petrik Clarberg;Wojciech Jarosz;Tomas Akenine-Möller;Henrik Wann Jensen

  • Graphics for the masses: a hardware rasterization architecture for mobile phones

    Tomas Akenine-Möller;Jacob Ström

  • iPACKMAN: high-quality, low-complexity texture compression for mobile phones

    Jacob Ström;Tomas Akenine-Möller

  • A dynamic bounding volume hierarchy for generalized collision detection

    Thomas Larsson;Tomas Akenine-Möller

  • Approximate soft shadows on arbitrary surfaces using penumbra wedges

    Tomas Akenine-Möller;Ulf Assarsson

  • FLIP: A Difference Evaluator for Alternating Images

    Pontus Andersson;Jim Nilsson;Tomas Akenine-Möller;Magnus Oskarsson

  • The State of the Art in Mobile Graphics Research

    T. Capin;K. Pulli;T. Akenine-Moller

  • Precomputed local radiance transfer for real-time lighting design

    Anders Wang Kristensen;Tomas Akenine-Möller;Henrik Wann Jensen

  • Stochastic rasterization using time-continuous triangles

    Tomas Akenine-Möller;Jacob Munkberg;Jon Hasselgren

  • Graphics Processing Units for Handhelds

    T. Akenine-Moller;J. Strom

  • Real-Time Rendering, Third Edition

    Tomas Akenine-Möller;Eric Haines;Naty Hoffman

  • Method and apparatus for image processing

    Timo Aila;Tomas Akenine-Moller

  • Soft shadow volumes for ray tracing

    Samuli Laine;Timo Aila;Ulf Assarsson;Jaakko Lehtinen

  • An optimized soft shadow volume algorithm with real-time performance

    Ulf Assarsson;Michael Dougherty;Michael Mounier;Tomas Akenine-Möller

  • High dynamic range texture compression for graphics hardware

    Jacob Munkberg;Petrik Clarberg;Jon Hasselgren;Tomas Akenine-Möller

  • Understanding SSIM.

    Jim Nilsson;Tomas Akenine-Möller

Frequent Co-Authors

Henrik Wann Jensen
Henrik Wann Jensen University of California, San Diego
Timo Aila
Timo Aila Aalto University
Samuli Laine
Samuli Laine Nvidia (United States)
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Ingo Wald
Ingo Wald Nvidia (United States)
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park
Peter Shirley
Peter Shirley Nvidia (United States)
Wojciech Jarosz
Wojciech Jarosz Dartmouth College
Mark D. Fairchild
Mark D. Fairchild Rochester Institute of Technology

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