World's Best Scientists 2026 revealed!
Markus Gross

Markus Gross

Award Badge
Computer Science
Switzerland
2026

D-Index & Metrics

Computer Science

D-Index
112
Citations
46268
World Ranking
209
National Ranking
8

Markus Gross 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 Markus Gross 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: 555 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Markus Gross 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 Markus Gross 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: 112 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 Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2023 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2012 - ACM Fellow For contributions to computer graphics and animation.

Overview

Markus Gross is affiliated with ETH Zurich in Switzerland and has an extensive publication record spanning multiple domains within computer science and engineering. Their research focuses on areas including computer vision, computational mechanics, computer graphics, and artificial intelligence.

Their recent publications cover a range of topics and were published in highly regarded venues. Selected recent papers include:

  • "Lagrangian neural style transfer for fluids," 2020, ACM Transactions on Graphics
  • "A Fluid Flow Data Set for Machine Learning and its Application to Neural Flow Map Interpolation," 2020, IEEE Transactions on Visualization and Computer Graphics
  • "Neural frame interpolation for rendered content," 2021, ACM Transactions on Graphics
  • "Affective State Prediction from Smartphone Touch and Sensor Data in the Wild," 2022, CHI Conference on Human Factors in Computing Systems
  • "Lossy Image Compression with Normalizing Flows," 2020, arXiv (Cornell University)

The primary fields of study for Markus Gross include:

  • Computer Science
  • Engineering

Subfields of expertise further detail their research interests as:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Control and Systems Engineering

The main topics covered in their work encompass:

  • 3D Shape Modeling and Analysis
  • Face Recognition and Analysis
  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Human Motion and Animation

Markus Gross has collaborated frequently with several co-authors, including:

  • Barbara Solenthaler
  • Gaspard Zoss
  • Prashanth Chandran
  • Derek Bradley
  • Christopher Schroers

The scientist's contributions have been published in notable venues such as:

  • arXiv (Cornell University)
  • Computer Graphics Forum
  • ACM Transactions on Graphics
  • Eurographics
  • International Journal of Computer Assisted Radiology and Surgery

Among their recognitions, Markus Gross was named an ACM Fellow in 2012 for contributions to computer graphics and animation.

Best Publications

  • A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation

    F. Perazzi;J. Pont-Tuset;B. McWilliams;L. Van Gool

  • Particle-based fluid simulation for interactive applications

    Matthias Müller;David Charypar;Markus Gross

  • Surfels: surface elements as rendering primitives

    Hanspeter Pfister;Matthias Zwicker;Jeroen van Baar;Markus Gross

  • Efficient simplification of point-sampled surfaces

    Mark Pauly;Markus Gross;Leif P. Kobbelt

  • Surface splatting

    Matthias Zwicker;Hanspeter Pfister;Jeroen van Baar;Markus Gross

  • Meshless deformations based on shape matching

    Matthias Müller;Bruno Heidelberger;Matthias Teschner;Markus Gross

  • Multi-scale Feature Extraction on Point-Sampled Surfaces

    Mark Pauly;Richard Keiser;Markus H. Gross

  • Optimized Spatial Hashing for Collision Detection of Deformable Objects.

    Matthias Teschner;Bruno Heidelberger;Matthias Müller;Danat Pomerantes

  • Shape modeling with point-sampled geometry

    Mark Pauly;Richard Keiser;Leif P. Kobbelt;Markus Gross

  • Interactive virtual materials

    Matthias Müller;Markus Gross

  • Algebraic point set surfaces

    Gaël Guennebaud;Markus Gross

  • Point based animation of elastic, plastic and melting objects

    M. Müller;R. Keiser;A. Nealen;M. Pauly

  • Simulating facial surgery using finite element models

    Rolf M. Koch;Markus H. Gross;Friedrich R. Carls;Daniel F. von Büren

  • Nonlinear disparity mapping for stereoscopic 3D

    Manuel Lang;Alexander Hornung;Oliver Wang;Steven Poulakos

  • Towards Better Understanding of Gradient-based Attribution Methods for Deep Neural Networks

    Marco Ancona;Enea Ceolini;Cengiz Öztireli;Markus Gross

  • Feature Preserving Point Set Surfaces based on Non-Linear Kernel Regression

    A. Cengiz Öztireli;Gaël Guennebaud;Markus H. Gross

  • Scene reconstruction from high spatio-angular resolution light fields

    Changil Kim;Henning Zimmer;Yael Pritch;Alexander Sorkine-Hornung

  • Deep Fluids: A Generative Network for Parameterized Fluid Simulations

    Byungsoo Kim;Vinicius C. Azevedo;Nils Thuerey;Theodore Kim

  • Microstructures to control elasticity in 3D printing

    Christian Schumacher;Bernd Bickel;Jan Rys;Steve Marschner

  • blue-c: a spatially immersive display and 3D video portal for telepresence

    Markus Gross;Stephan Würmlin;Martin Naef;Edouard Lamboray

  • Pointshop 3D: an interactive system for point-based surface editing

    Matthias Zwicker;Mark Pauly;Oliver Knoll;Markus Gross

  • Practical motion capture in everyday surroundings

    Daniel Vlasic;Rolf Adelsberger;Giovanni Vannucci;John Barnwell

  • Proceedings of IEEE Visualization '99

    David S. Ebert;Markus Gross;Bernd Hamann

Frequent Co-Authors

Bernd Bickel
Bernd Bickel ETH Zurich
Hanspeter Pfister
Hanspeter Pfister Harvard University
Miguel A. Otaduy
Miguel A. Otaduy King Juan Carlos University
Derek Bradley
Derek Bradley Walt Disney (United States)
Mark Pauly
Mark Pauly École Polytechnique Fédérale de Lausanne
Matthias Teschner
Matthias Teschner University of Freiburg
Oliver Wang
Oliver Wang Adobe Systems (United States)

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