World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
12100
World Ranking
5283
National Ranking
245

Mario Botsch 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 Mario Botsch 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: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Mario Botsch 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 Mario Botsch 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Mario Botsch is affiliated with TU Dortmund University in Germany and works primarily within the fields of Computer Science and Engineering. Their research spans various subfields including Computational Mechanics, Computer Vision and Pattern Recognition, Human-Computer Interaction, Social Psychology, and Computer Graphics and Computer-Aided Design.

The scientist has contributed extensively to topics such as Virtual Reality Applications and Impacts, 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, Advanced Numerical Analysis Techniques, Face Recognition and Analysis, Action Observation and Synchronization, and Generative Adversarial Networks and Image Synthesis.

Among their recent papers are:

  • Affordable But Not Cheap: A Case Study of the Effects of Two 3D-Reconstruction Methods of Virtual Humans, 2021, Frontiers in Virtual Reality
  • Resize Me! Exploring the user experience of embodied realistic modulatable avatars for body image intervention in virtual reality, 2022, Frontiers in Virtual Reality
  • Virtual Human Coherence and Plausibility - Towards a Validated Scale, 2022, 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
  • Virtual Reality for Mind and Body: Does the Sense of Embodiment Towards a Virtual Body Affect Physical Body Awareness?, 2022, CHI Conference on Human Factors in Computing Systems Extended Abstracts
  • Cognitive training in an everyday-like virtual reality enhances visual-spatial memory capacities in stroke survivors with visual field defects, 2020, Topics in Stroke Rehabilitation

Mario Botsch has frequently published in venues including Frontiers in Virtual Reality, Computer Graphics Forum, arXiv (Cornell University), IEEE Transactions on Visualization and Computer Graphics, and Computers & Graphics.

Collaborations with other researchers are a significant part of their work. Frequent co-authors include Marc Erich Latoschik, Erik Wolf, Carolin Wienrich, Stephan Wenninger, and Nina Döllinger.

Best Publications

  • Polygon Mesh Processing

    Mario Botsch;Leif Kobbelt;Mark Pauly;Pierre Alliez

  • Feature sensitive surface extraction from volume data

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

  • On Linear Variational Surface Deformation Methods

    M. Botsch;O. Sorkine

  • The Impact of Avatar Personalization and Immersion on Virtual Body Ownership, Presence, and Emotional Response

    Thomas Waltemate;Dominik Gall;Daniel Roth;Mario Botsch

  • A survey of point-based techniques in computer graphics

    Leif Kobbelt;Mario Botsch

  • The effect of avatar realism in immersive social virtual realities

    Marc Erich Latoschik;Daniel Roth;Dominik Gall;Jascha Achenbach

  • An intuitive framework for real-time freeform modeling

    Mario Botsch;Leif Kobbelt

  • Efficient high quality rendering of point sampled geometry

    Mario Botsch;Andreas Wiratanaya;Leif Kobbelt

  • A remeshing approach to multiresolution modeling

    Mario Botsch;Leif Kobbelt

  • High-quality point-based rendering on modern GPUs

    M. Botsch;L. Kobbelt

  • OpenMesh: A Generic and Efficient Polygon Mesh Data Structure

    Mario Botsch;Stefan Steinberg;Stefan Bischoff;Leif Kobbelt

  • Real-Time Shape Editing using Radial Basis Functions

    Mario Botsch;Leif Kobbelt

  • Robust articulated-ICP for real-time hand tracking

    Andrea Tagliasacchi;Matthias Schröder;Anastasia Tkach;Sofien Bouaziz

  • PriMo: coupled prisms for intuitive surface modeling

    Mario Botsch;Mark Pauly;Markus Gross;Leif Kobbelt

  • High-quality surface splatting on today's GPUs

    Mario Botsch;Alexander Hornung;Matthias Zwicker;Leif Kobbelt

  • Multi-scale capture of facial geometry and motion

    Bernd Bickel;Mario Botsch;Roland Angst;Wojciech Matusik

  • Flexible simulation of deformable models using discontinuous Galerkin FEM

    Peter Kaufmann;Sebastian Martin;Mario Botsch;Markus Gross

  • Adaptive space deformations based on rigid cells

    Mario Botsch;Mark Pauly;Martin Wicke;Markus H. Gross

  • Geometric Modeling Based on Polygonal Meshes.

    Mario Botsch;Mark Pauly;Leif Kobbelt;Pierre Alliez

  • Polyhedral finite elements using harmonic basis functions

    Sebastian Martin;Peter Kaufmann;Mario Botsch;Martin Wicke

Frequent Co-Authors

Leif Kobbelt
Leif Kobbelt RWTH Aachen University
Stefan Kopp
Stefan Kopp Bielefeld University
Markus Gross
Markus Gross ETH Zurich
Mark Pauly
Mark Pauly École Polytechnique Fédérale de Lausanne
Marc Erich Latoschik
Marc Erich Latoschik University of Würzburg
Werner X. Schneider
Werner X. Schneider Bielefeld University
Thomas Schack
Thomas Schack Bielefeld University
Helge Ritter
Helge Ritter Bielefeld University
Pierre Alliez
Pierre Alliez French Institute for Research in Computer Science and Automation - INRIA
Marc O. Ernst
Marc O. Ernst University of Ulm

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