Thabo Beeler

3.5k total citations
72 papers, 2.1k citations indexed

About

Thabo Beeler is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Thabo Beeler has authored 72 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 29 papers in Computational Mechanics and 15 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Thabo Beeler's work include Face recognition and analysis (34 papers), Advanced Vision and Imaging (32 papers) and 3D Shape Modeling and Analysis (28 papers). Thabo Beeler is often cited by papers focused on Face recognition and analysis (34 papers), Advanced Vision and Imaging (32 papers) and 3D Shape Modeling and Analysis (28 papers). Thabo Beeler collaborates with scholars based in United States, Switzerland and Germany. Thabo Beeler's co-authors include Derek Bradley, Markus Groß, Bernd Bickel, Paul Beardsley, Robert W. Sumner, Craig Gotsman, Fabian Hahn, Christian Theobalt, Chen Cao and Kun Zhou and has published in prestigious journals such as ACM Transactions on Graphics, Journal of Prosthetic Dentistry and Computer Graphics Forum.

In The Last Decade

Thabo Beeler

67 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Thabo Beeler United States	24	1.7k	933	401	320	175	72	2.1k
Shunsuke Saito United States	27	2.4k 1.4×	1.8k 1.9×	1.1k 2.6×	343 1.1×	142 0.8×	70	3.0k
Shigeo Morishima Japan	18	1.5k 0.9×	719 0.8×	446 1.1×	219 0.7×	263 1.5×	253	2.1k
Thibaut Weise Switzerland	13	1.3k 0.8×	537 0.6×	188 0.5×	315 1.0×	184 1.1×	19	1.7k
Timo Bolkart Germany	12	1.4k 0.8×	701 0.8×	241 0.6×	225 0.7×	108 0.6×	30	1.6k
Yanlin Weng China	14	1.3k 0.8×	622 0.7×	271 0.7×	174 0.5×	53 0.3×	30	1.5k
Sami Romdhani Switzerland	12	1.8k 1.1×	700 0.8×	144 0.4×	93 0.3×	65 0.4×	20	2.1k
Brian Amberg Switzerland	8	1.3k 0.7×	594 0.6×	130 0.3×	67 0.2×	49 0.3×	10	1.5k
Tiberiu Popa Canada	18	831 0.5×	493 0.5×	383 1.0×	227 0.7×	143 0.8×	45	1.2k
Chenglei Wu United States	21	1.3k 0.7×	645 0.7×	442 1.1×	150 0.5×	92 0.5×	30	1.5k
Shihong Xia China	22	1.1k 0.6×	459 0.5×	260 0.6×	505 1.6×	137 0.8×	96	1.5k

Countries citing papers authored by Thabo Beeler

Since Specialization

Citations

This map shows the geographic impact of Thabo Beeler'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 Thabo Beeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thabo Beeler more than expected).

Fields of papers citing papers by Thabo Beeler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thabo Beeler. 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 Thabo Beeler. The network helps show where Thabo Beeler may publish in the future.

Co-authorship network of co-authors of Thabo Beeler

This figure shows the co-authorship network connecting the top 25 collaborators of Thabo Beeler. A scholar is included among the top collaborators of Thabo Beeler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thabo Beeler. Thabo Beeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zielonka, Wojciech, Timo Bolkart, Thabo Beeler, & Justus Thies. (2025). Gaussian Eigen Models for Human Heads. 15930–15940. 2 indexed citations

Zielonka, Wojciech, Stephan J. Garbin, Alexandros Lattas, et al.. (2025). Synthetic Prior for Few-Shot Drivable Head Avatar Inversion. 10735–10746. 1 indexed citations

Zheng, Yang, Menglei Chai, Delio Vicini, et al.. (2025). GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling. 16040–16050.

Dabral, Rishabh, Vladislav Golyanik, Vasileios Choutas, et al.. (2025). BimArt: A Unified Approach for the Synthesis of 3D Bimanual Interaction with Articulated Objects. 27694–27705.

Dabral, Rishabh, Diogo Luvizon, Zhe Cao, et al.. (2025). Ego4o: Egocentric Human Motion Capture and Understanding from Multi-Modal Input. 22668–22679.

Chai, Menglei, et al.. (2024). GroomCap: High-Fidelity Prior-Free Hair Capture. ACM Transactions on Graphics. 43(6). 1–15. 5 indexed citations

Collins, Emily, Abhimitra Meka, Franziska Mueller, et al.. (2024). GANtlitz: Ultra High Resolution Generative Model for Multi‐Modal Face Textures. Computer Graphics Forum. 43(2). 2 indexed citations

Zhang, Yinda, et al.. (2024). EgoAvatar: Egocentric View-Driven and Photorealistic Full-body Avatars. 1–11. 1 indexed citations

Karunratanakul, Korrawe, Konpat Preechakul, Emre Aksan, et al.. (2024). Optimizing Diffusion Noise Can Serve As Universal Motion Priors. 1334–1345. 9 indexed citations

10.

Wang, Jian, Zhe Cao, Diogo Luvizon, et al.. (2024). Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement. 777–787. 6 indexed citations

11.

Sarkar, Kripasindhu, Abhimitra Meka, Franziska Mueller, et al.. (2024). ShellNeRF: Learning a Controllable High‐resolution Model of the Eye and Periocular Region. Computer Graphics Forum. 43(2). 1 indexed citations

12.

Shimada, Soshi, Franziska Mueller, Bernd Bickel, et al.. (2024). MACS: Mass Conditioned 3D Hand and Object Motion Synthesis. 1082–1091. 5 indexed citations

13.

Wood, Erroll, et al.. (2024). Learning to Stabilize Faces. Computer Graphics Forum. 43(2). 2 indexed citations

14.

Sarkar, Kripasindhu, Sergio Orts‐Escolano, Dmitry Lagun, et al.. (2023). Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis. 3379–3390. 4 indexed citations

15.

Chai, Menglei, et al.. (2023). GroomGen: A High-Quality Generative Hair Model Using Hierarchical Latent Representations. ACM Transactions on Graphics. 42(6). 1–16. 9 indexed citations

16.

Meka, Abhimitra, Rohit Pandey, Christian Häne, et al.. (2020). Deep Relightable Textures Volumetric Performance Capture with Neural Rendering. MPG.PuRe (Max Planck Society). 36 indexed citations

17.

Liu, Shiming, Murali Srinivasan, Thabo Beeler, et al.. (2019). Reliability of a three-dimensional facial camera for dental and medical applications: A pilot study. Journal of Prosthetic Dentistry. 122(3). 282–287. 23 indexed citations

18.

Sailer, Irena, Shiming Liu, Thabo Beeler, et al.. (2018). Comparison of user satisfaction and image quality of fixed and mobile camera systems for 3-dimensional image capture of edentulous patients: A pilot clinical study. Journal of Prosthetic Dentistry. 120(4). 520–524. 9 indexed citations

19.

McDonagh, Steven, et al.. (2017). Real-Time Multi-View Facial Capture with Synthetic Training. Computer Graphics Forum. 36(2). 325–336. 5 indexed citations

20.

Rousselle, Fabrice, Marios Papas, Derek Bradley, et al.. (2015). Recent Advances in Facial Appearance Capture. Computer Graphics Forum. 34(2). 709–733. 38 indexed citations

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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