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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
111
Citations
43752
World Ranking
216
National Ranking
12

Christian Theobalt 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 Christian Theobalt 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: 467 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Christian Theobalt 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 Christian Theobalt 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: 111 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

  • 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

Overview

Christian Theobalt is affiliated with the Max Planck Institute for Informatics in Germany. Their academic work spans primarily the fields of Computer Science and Engineering, with significant contributions in subfields such as Computer Vision and Pattern Recognition, Computational Mechanics, and Computer Graphics and Computer-Aided Design.

Theobalt's research topics cover a broad spectrum within these areas, including:

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

Theobalt has contributed to many publications across different venues, with frequent appearances in:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Computer Graphics Forum
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Several notable papers authored or co-authored by Theobalt include:

  • NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction, 2021, arXiv (Cornell University)
  • Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Advances in Neural Rendering, 2022, Computer Graphics Forum
  • Neural actor, 2021, ACM Transactions on Graphics
  • StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis, 2021, arXiv (Cornell University)

Frequent collaborators in their work include Vladislav Golyanik, Marc Habermann, Lingjie Liu, Ayush Tewari, and Mohamed Elgharib.

Best Publications

  • Face2Face: Real-Time Face Capture and Reenactment of RGB Videos

    Justus Thies;Michael Zollhofer;Marc Stamminger;Christian Theobalt

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

    Dushyant Mehta;Srinath Sridhar;Oleksandr Sotnychenko;Helge Rhodin

  • Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision

    Dushyant Mehta;Helge Rhodin;Dan Casas;Pascal Fua

  • Free-viewpoint video of human actors

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

  • BundleFusion: real-time globally consistent 3D reconstruction using on-the-fly surface re-integration

    Angela Dai;Matthias Nießner;Michael Zollhöfer;Shahram Izadi

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

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

  • Performance capture from sparse multi-view video

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

  • Deep video portraits

    Hyeongwoo Kim;Pablo Garrido;Ayush Tewari;Weipeng Xu

  • NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

    Peng Wang;Lingjie Liu;Yuan Liu;Christian Theobalt

  • Motion capture using joint skeleton tracking and surface estimation

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

  • MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction

    Ayush Tewari;Michael Zollhofer;Hyeongwoo Kim;Pablo Garrido

  • GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB

    Franziska Mueller;Florian Bernard;Oleksandr Sotnychenko;Dushyant Mehta

  • Neural Sparse Voxel Fields

    Lingjie Liu;Jiatao Gu;Kyaw Zaw Lin;Tat-Seng Chua

  • Real-time non-rigid reconstruction using an RGB-D camera

    Michael Zollhöfer;Matthias Nießner;Shahram Izadi;Christoph Rehmann

  • Video Based Reconstruction of 3D People Models

    Thiemo Alldieck;Marcus Magnor;Weipeng Xu;Christian Theobalt

  • 3D shape scanning with a time-of-flight camera

    Yan Cui;Sebastian Schuon;Derek Chan;Sebastian Thrun

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

    Dushyant Mehta;Oleksandr Sotnychenko;Franziska Mueller;Weipeng Xu

  • Single-Shot Multi-person 3D Pose Estimation from Monocular RGB

    Dushyant Mehta;Oleksandr Sotnychenko;Franziska Mueller;Weipeng Xu

  • Real-time expression transfer for facial reenactment

    Justus Thies;Michael Zollhöfer;Matthias Nießner;Levi Valgaerts

  • Multi-Garment Net: Learning to Dress 3D People From Images

    Bharat Bhatnagar;Garvita Tiwari;Christian Theobalt;Gerard Pons-Moll

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

    Ayush Tewari;Mohamed Elgharib;Gaurav Bharaj;Florian Bernard

  • Face2Face: real-time face capture and reenactment of RGB videos

    Justus Thies;Michael Zollhöfer;Marc Stamminger;Christian Theobalt

  • Demo of Face2Face: real-time face capture and reenactment of RGB videos

    Justus Thies;Michael Zollhöfer;Marc Stamminger;Christian Theobalt

  • Advances in neural rendering

    A. Tewari;O. Fried;J. Thies;V. Sitzmann

Frequent Co-Authors

Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Michael Zollhöfer
Michael Zollhöfer Stanford University
Marcus Magnor
Marcus Magnor Technische Universität Braunschweig
Gerard Pons-Moll
Gerard Pons-Moll University of Tübingen
Matthias Nießner
Matthias Nießner Technical University of Munich
Justus Thies
Justus Thies Technical University of Munich
Sebastian Thrun
Sebastian Thrun Stanford University
Jan Kautz
Jan Kautz Nvidia (United States)
Didier Stricker
Didier Stricker German Research Centre for Artificial Intelligence

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