World's Best Scientists 2026 revealed!
Philipp Slusallek

Philipp Slusallek

D-Index & Metrics

Computer Science

D-Index
49
Citations
12923
World Ranking
5789
National Ranking
266

Philipp Slusallek 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 Philipp Slusallek 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: 263 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Philipp Slusallek 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 Philipp Slusallek 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: 49 D-Index — 60th percentile

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

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

Overview

Philipp Slusallek is affiliated with Saarland University in Germany, contributing extensively to research in computer science and engineering. Their work primarily spans the fields of computer vision and pattern recognition, artificial intelligence, control and systems engineering, computer graphics and computer-aided design, and computational mechanics.

Their research covers topics including advanced vision and imaging, human pose and action recognition, human motion and animation, computer graphics and visualization techniques, 3D shape modeling and analysis, advanced image processing techniques, and lower extremity biomechanics and pathologies.

Philipp Slusallek has published in a variety of venues, with frequent contributions to arXiv (Cornell University), ACM Transactions on Graphics, Computer Graphics Forum, IEEE Access, and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Recent papers authored or co-authored by Philipp Slusallek include:

  • Synthesis of Compositional Animations from Textual Descriptions, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IMoS: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions, 2023, Computer Graphics Forum
  • Variance-aware path guiding, 2020, ACM Transactions on Graphics
  • Deep Neural Networks for Analysis of Microscopy Images-Synthetic Data Generation and Adaptive Sampling, 2021, Crystals
  • Effects of age, body height, body weight, body mass index and handgrip strength on the trajectory of the plantar pressure stance-phase curve of the gait cycle, 2023, Frontiers in Bioengineering and Biotechnology

The scientist collaborates frequently with several researchers, including Noshaba Cheema, Tim Dahmen, Christian Theobalt, Christian Wolff, and Anindita Ghosh.

Best Publications

  • Parallel & distributed processing

    Philipp Slusallek;Peter Shirley;William Mark;Gordon Stoll

  • RPU: a programmable ray processing unit for realtime ray tracing

    Sven Woop;Jörg Schmittler;Philipp Slusallek

  • Real-time generation of continuous levels of detail for height fields

    Stefan Röttger;Wolfgang Heidrich;Philipp Slusallek;Hans-Peter Seidel

  • Stackless KD-Tree Traversal for High Performance GPU Ray Tracing

    Stefan Popov;Johannes Günther;Hans-Peter Seidel;Philipp Slusallek

  • Interactive Global Illumination

    Ingo Wald;Thomas Kollig;Carsten Benthin;Alexander Keller

  • Interactive global illumination using fast ray tracing

    Ingo Wald;Thomas Kollig;Carsten Benthin;Alexander Keller

  • Realtime Ray Tracing on GPU with BVH-based Packet Traversal

    J. Gunther;S. Popov;H.-P. Seidel;P. Slusallek

  • Interactive Distributed Ray Tracing of Highly Complex Models

    Ingo Wald;Philipp Slusallek;Carsten Benthin;Markus Wagner

  • Light transport simulation with vertex connection and merging

    Iliyan Georgiev;Jaroslav Křivánek;Tomáš Davidovič;Philipp Slusallek

  • SaarCOR: a hardware architecture for ray tracing

    Jörg Schmittler;Ingo Wald;Philipp Slusallek

  • An interactive out-of-core rendering framework for visualizing massively complex models

    Ingo Wald;Andreas Dietrich;Philipp Slusallek

  • Realtime ray tracing of dynamic scenes on an FPGA chip

    Jörg Schmittler;Sven Woop;Daniel Wagner;Wolfgang J. Paul

  • State of the Art in Interactive Ray Tracing

    Ingo Wald;Philipp Slusallek

  • Distributed interactive ray tracing of dynamic scenes

    I. Wald;C. Benthin;P. Slusallek

  • Realtime Ray Tracing and its use for Interactive Global Illumination

    Ingo Wald;Timothy J. Purcell;Jörg Schmittler;Carsten Benthin

  • Experiences with Streaming Construction of SAH KD-Trees

    S. Popov;J. Gunther;H.-P. Seidel;P. Slusallek

  • A parallel algorithm for construction of uniform grids

    Javor Kalojanov;Philipp Slusallek

  • Wide area camera calibration using virtual calibration objects

    X. Chen;J. Davis;P. Slusallek

  • Faster isosurface ray tracing using implicit KD-trees

    I. Wald;H. Friedrich;G. Marmitt;P. Slusallek

  • XML3D: interactive 3D graphics for the web

    Kristian Sons;Felix Klein;Dmitri Rubinstein;Sergiy Byelozyorov

  • Introduction to real-time ray tracing

    Philipp Slusallek;Peter Shirley;William Mark;Gordon Stoll

Frequent Co-Authors

Ingo Wald
Ingo Wald Nvidia (United States)
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Marc Stamminger
Marc Stamminger University of Erlangen-Nuremberg
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Matthias Klusch
Matthias Klusch German Research Centre for Artificial Intelligence
Enrico Gobbetti
Enrico Gobbetti Center for Advanced Studies Research and Development in Sardinia
Reinhard Klein
Reinhard Klein University of Bonn
Peter Shirley
Peter Shirley Nvidia (United States)
Andreas Kolb
Andreas Kolb University of Siegen

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As the demand for computer science professionals continues to grow, a range of online degree options make it easier than ever to advance your education and career prospects from anywhere. Whether you're just beginning your academic journey or looking to specialize further, there are numerous affordable and flexible programs available.

Many students start by exploring online universities that offer comprehensive bachelor’s degrees in technology and computer science disciplines. For those interested in hands-on technical roles, an engineering degree online can provide the specialized knowledge needed to thrive in software, hardware, or systems engineering.

Professionals aiming for leadership roles might consider taking their studies further with executive mba programs online. These programs blend technical expertise with business acumen, preparing graduates for management positions in tech sectors.

Additionally, those interested in information organization or digital resources may find value in pursuing the cheapest mlis degree online, paving the way for careers in library science, data curation, or archive management.

Best Scientists Citing Philipp Slusallek

Trending Scientists

Recently Published Articles