Christian Theobalt

35.2k citations
327 papers · 18.3k indexed · 17 hit papers · h-index 76

Christian Theobalt

315 papers receiving 17.6k citations

Hit Papers

Wonder3...952008202620142020250500750

Peers

Christian Theobalt
Comparison fields: 5 of 166
  • Computer Graphics and Computer-Aided Design 3.3k
  • Computer Vision and Pattern Recognition 15.6k
  • Human-Computer Interaction 2.1k
  • Computational Mechanics 5.2k
  • Geology 1.1k
Replace Hans‐Peter Seidel with:
Hans‐Peter Seidel Germany
Michael J. Black Germany
Wojciech Matusik United States
Markus Groß Switzerland
Katsushi Ikeuchi Japan
Jan Kautz United Kingdom
Andrew Fitzgibbon United Kingdom
Vladlen Koltun United States
Brian Curless United States
Aaron Hertzmann United States
Christian Theobalt relative to Hans‐Peter Seidel Germany Hans‐Peter Seidel's profile →
Citations per field
00.5×
Hans‐Peter Seidel · 1×
Citations per year

Countries citing papers authored by Christian Theobalt

Since Specialization
Citations

This map shows the geographic impact of Christian Theobalt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christian Theobalt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Theobalt more than expected).

Fields of papers citing papers by Christian Theobalt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Theobalt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christian Theobalt. The network helps show where Christian Theobalt may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Christian Theobalt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christian Theobalt Line = papers co-authored together Christian Theobalt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20240
4 20241
5 20242
6 202436
7 20242
8 20241
9 202412
10 20232
11 202311
12 20236
13
Deep Relightable Textures Volumetric Performance Capture with Neural Rendering
202036
14 202011
15
Neural Animation and Reenactment of Human Actor Videos
20187
16 201593
17 200725
18
Automatic Learning of Articulated Skeletons from 3D Marker Trajectories
20061
19
M3: Marker-free Model Reconstruction and Motion Tracking from 3D Voxel Data
200411
20
Multi-Layer Skeleton Fitting for Online Human Motion Capture
20023

About Christian Theobalt

Christian Theobalt is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 327 papers that have together received 18.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (172 papers), Human Pose and Action Recognition (110 papers), 3D Shape Modeling and Analysis (103 papers), Computer Graphics and Visualization Techniques (94 papers), Human Motion and Animation (59 papers), Face recognition and analysis (32 papers), Generative Adversarial Networks and Image Synthesis (31 papers) and Video Surveillance and Tracking Methods (28 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (3.3k citations), Computer Vision and Pattern Recognition (15.6k citations) and Human-Computer Interaction (2.1k citations). Christian Theobalt has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Michael Zollhöfer, Hans‐Peter Seidel, Matthias Nießner, Weipeng Xu, Justus Thies, Marc Stamminger, Marcus Magnor, Sebastian Thrun, Dushyant Mehta and Dan Casas. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and IEEE Access.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Rankless by CCL
2026