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Computer Science
Germany
2026

D-Index & Metrics

Computer Science

D-Index
134
Citations
59901
World Ranking
89
National Ranking
7

Hans-Peter Seidel 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 Hans-Peter Seidel 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: 1,103 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Hans-Peter Seidel 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 Hans-Peter Seidel 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: 134 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Computer Science in Germany Leader Award
  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2012 - Member of Academia Europaea

Overview

Hans-Peter Seidel is affiliated with the Max Planck Institute for Informatics in Germany. Their research spans various aspects of computer science and engineering, with a strong focus on computer vision, computer graphics, and related technological applications.

The main fields of study covered in their publications include:

  • Computer Science
  • Engineering

The subfields of study in which they have conducted research are:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Environmental Engineering

Their work addresses several main topics, such as:

  • Computer Graphics and Visualization Techniques
  • Image Enhancement Techniques
  • Color Science and Applications
  • Advanced Vision and Imaging
  • Remote Sensing and LiDAR Applications
  • Advanced Memory and Neural Computing
  • Advanced Neural Network Applications

Hans-Peter Seidel has authored several research papers, including:

  • "Cinematic Gaussians: Real-Time HDR Radiance Fields with Depth of Field" (2024, Computer Graphics Forum)
  • "Neural Relightable Participating Media Rendering" (2021, arXiv (Cornell University))
  • "EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream" (2020, arXiv (Cornell University))

Frequent collaborators in their research include:

  • Chao Wang
  • Krzysztof Wolski
  • Bernhard Kerbl
  • Ana Serrano
  • Mojtaba Bemana

Hans-Peter Seidel's articles have appeared predominantly in venues such as:

  • arXiv (Cornell University)
  • Computer Graphics Forum

In 2012, Hans-Peter Seidel was recognized as a Member of Academia Europaea.

Best Publications

  • Laplacian surface editing

    O. Sorkine;D. Cohen-Or;Y. Lipman;M. Alexa

  • Multi-level partition of unity implicits

    Yutaka Ohtake;Alexander Belyaev;Marc Alexa;Greg Turk

  • VNect: real-time 3D human pose estimation with a single RGB camera

    Dushyant Mehta;Srinath Sridhar;Oleksandr Sotnychenko;Helge Rhodin

  • Interactive multi-resolution modeling on arbitrary meshes

    Leif Kobbelt;Swen Campagna;Jens Vorsatz;Hans-Peter Seidel

  • Free-viewpoint video of human actors

    Joel Carranza;Christian Theobalt;Marcus A. Magnor;Hans-Peter Seidel

  • A data-driven approach for real-time full body pose reconstruction from a depth camera

    Andreas Baak;Meinard Muller;Gaurav Bharaj;Hans-Peter Seidel

  • Feature sensitive surface extraction from volume data

    Leif P. Kobbelt;Mario Botsch;Ulrich Schwanecke;Hans-Peter Seidel

  • Performance capture from sparse multi-view video

    Edilson de Aguiar;Carsten Stoll;Christian Theobalt;Naveed Ahmed

  • Motion capture using joint skeleton tracking and surface estimation

    Juergen Gall;Carsten Stoll;Edilson de Aguiar;Christian Theobalt

  • Ridge-valley lines on meshes via implicit surface fitting

    Yutaka Ohtake;Alexander Belyaev;Hans-Peter Seidel

  • A Statistical Model of Human Pose and Body Shape

    Nils Hasler;Carsten Stoll;Martin Sunkel;Bodo Rosenhahn

  • XNect: real-time multi-person 3D motion capture with a single RGB camera

    Dushyant Mehta;Oleksandr Sotnychenko;Franziska Mueller;Weipeng Xu

  • Image-based reconstruction of spatial appearance and geometric detail

    Hendrik P. A. Lensch;Jan Kautz;Michael Goesele;Wolfgang Heidrich

  • A perceptual framework for contrast processing of high dynamic range images

    Rafal Mantiuk;Karol Myszkowski;Hans-Peter Seidel

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

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

  • Realistic, hardware-accelerated shading and lighting

    Wolfgang Heidrich;Hans-Peter Seidel

  • Differential coordinates for interactive mesh editing

    Y. Lipman;O. Sorkine;D. Cohen-Or;D. Levin

  • Pattern-aware Deformation Using Sliding Dockers

    Martin Bokeloh;Michael Wand;Vladlen Koltun;Hans-Peter Seidel

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

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

  • StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images

    Ayush Tewari;Mohamed Elgharib;Gaurav Bharaj;Florian Bernard

  • Free-Viewpoint Video of Human Actors

    Joel Carranza;Christian Theobalt;Marcus Magnor;Hans-Peter Seidel

  • Laplacian Surface Editing

    Olga Sorkine;Yaron Lipman;Daniel Cohen-Or;Marc Alexa

Frequent Co-Authors

Karol Myszkowski
Karol Myszkowski Max Planck Institute for Informatics
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Tobias Ritschel
Tobias Ritschel University College London
Hendrik P. A. Lensch
Hendrik P. A. Lensch University of Tübingen
Holger Theisel
Holger Theisel Otto-von-Guericke University Magdeburg
Marcus Magnor
Marcus Magnor Technische Universität Braunschweig
Bodo Rosenhahn
Bodo Rosenhahn University of Hannover
Jan Kautz
Jan Kautz Nvidia (United States)
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Michael Wand
Michael Wand Johannes Gutenberg University of Mainz

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