Timo Bolkart

4.2k total citations · 2 hit papers
30 papers, 1.6k citations indexed

About

Timo Bolkart is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Timo Bolkart has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 18 papers in Computational Mechanics and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Timo Bolkart's work include 3D Shape Modeling and Analysis (18 papers), Face recognition and analysis (16 papers) and Advanced Vision and Imaging (9 papers). Timo Bolkart is often cited by papers focused on 3D Shape Modeling and Analysis (18 papers), Face recognition and analysis (16 papers) and Advanced Vision and Imaging (9 papers). Timo Bolkart collaborates with scholars based in Germany, United States and United Kingdom. Timo Bolkart's co-authors include Michael J. Black, Haiwen Feng, Tianye Li, Hao Li, Javier Romero, Yao Feng, Soubhik Sanyal, Stefanie Wuhrer, Justus Thies and Wojciech Zielonka and has published in prestigious journals such as NeuroImage, ACM Transactions on Graphics and Human Brain Mapping.

In The Last Decade

Timo Bolkart

30 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning a model of facial shape and expression from 4D scans

2017 596 citations Tianye Li, Timo Bolkart et al. ACM Transactions on Graphics profile →
Learning an animatable detailed 3D face model from in-the-wild images

2021 330 citations Yao Feng, Haiwen Feng et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timo Bolkart Germany	12	1.4k	701	241	225	134	30	1.6k
Yanlin Weng China	14	1.3k 1.0×	622 0.9×	271 1.1×	174 0.8×	202 1.5×	30	1.5k
Thabo Beeler United States	24	1.7k 1.3×	933 1.3×	401 1.7×	320 1.4×	132 1.0×	72	2.1k
Thibaut Weise Switzerland	13	1.3k 1.0×	537 0.8×	188 0.8×	315 1.4×	142 1.1×	19	1.7k
Brian Amberg Switzerland	8	1.3k 0.9×	594 0.8×	130 0.5×	67 0.3×	193 1.4×	10	1.5k
Junyong Noh South Korea	18	942 0.7×	451 0.6×	199 0.8×	500 2.2×	71 0.5×	104	1.3k
Kiran Varanasi Germany	12	807 0.6×	443 0.6×	161 0.7×	131 0.6×	57 0.4×	24	948
Chenglei Wu United States	21	1.3k 0.9×	645 0.9×	442 1.8×	150 0.7×	45 0.3×	30	1.5k
Forrester Cole United States	21	1.2k 0.9×	712 1.0×	707 2.9×	135 0.6×	31 0.2×	39	1.7k
Reinhard Knothe Switzerland	4	840 0.6×	330 0.5×	70 0.3×	37 0.2×	149 1.1×	4	930
Anastasios Roussos United Kingdom	16	860 0.6×	313 0.4×	61 0.3×	34 0.2×	129 1.0×	35	1.1k

Countries citing papers authored by Timo Bolkart

Since Specialization

Citations

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

Fields of papers citing papers by Timo Bolkart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Bolkart

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Bolkart. A scholar is included among the top collaborators of Timo Bolkart 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 Timo Bolkart. Timo Bolkart 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

1.

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

2.

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

3.

Peters, Christopher, et al.. (2024). Emotional Speech-Driven 3D Body Animation via Disentangled Latent Diffusion. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1942–1953. 11 indexed citations

4.

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

5.

Sanyal, Soubhik, Partha S. Ghosh, Jinlong Yang, et al.. (2024). SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes. 2362–2371. 1 indexed citations

6.

Zielonka, Wojciech, Timo Bolkart, & Justus Thies. (2023). Instant Volumetric Head Avatars. 4574–4584. 70 indexed citations

7.

Bolkart, Timo, Tianye Li, & Michael J. Black. (2023). Instant Multi-View Head Capture through Learnable Registration. 768–779. 11 indexed citations

8.

Ruiz, Nataniel, Míriam Bellver, Timo Bolkart, et al.. (2022). Human Body Measurement Estimation with Adversarial Augmentation. 219–230. 3 indexed citations

9.

Feng, Yao, Haiwen Feng, Michael J. Black, & Timo Bolkart. (2021). Learning an animatable detailed 3D face model from in-the-wild images. ACM Transactions on Graphics. 40(4). 1–13. 330 indexed citations breakdown →

10.

Zhao, Mintao, et al.. (2021). Separated and overlapping neural coding of face and body identity. Human Brain Mapping. 42(13). 4242–4260. 11 indexed citations

11.

Zhao, Mintao, et al.. (2021). The neural coding of face and body orientation in occipitotemporal cortex. NeuroImage. 246. 118783–118783. 11 indexed citations

12.

Feng, Yao, Haiwen Feng, Michael J. Black, & Timo Bolkart. (2021). Learning an animatable detailed 3D face model from in-the-wild images. ACM Transactions on Graphics. 40(4). 1–13. 46 indexed citations

13.

Sanyal, Soubhik, Betty J. Mohler, Larry S. Davis, et al.. (2021). Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11118–11127. 10 indexed citations

14.

Ranjan, Anurag, Timo Bolkart, & Michael J. Black. (2018). Convolutional Mesh Autoencoders for 3D Face Representation. 1 indexed citations

15.

Li, Tianye, Timo Bolkart, Michael J. Black, Hao Li, & Javier Romero. (2017). Learning a model of facial shape and expression from 4D scans. ACM Transactions on Graphics. 36(6). 1–17. 596 indexed citations breakdown →

16.

Bolkart, Timo, et al.. (2015). Using astigmatism in wide angle HMDs to improve rendering. 263–264. 6 indexed citations

17.

Brunton, Alan, Augusto Salazar, Timo Bolkart, & Stefanie Wuhrer. (2014). Review of statistical shape spaces for 3D data with comparative analysis for human faces. Computer Vision and Image Understanding. 128. 1–17. 45 indexed citations

18.

Bolkart, Timo, et al.. (2013). Improved pre-warping for wide angle, head mounted displays. 259–262. 20 indexed citations

19.

Brunton, Alan, Augusto Salazar, Timo Bolkart, & Stefanie Wuhrer. (2012). Review and Comparative Analysis of Statistical Shape Spaces of 3D Data. arXiv (Cornell University). 1 indexed citations

20.

Brunton, Alan, Augusto Salazar, Timo Bolkart, & Stefanie Wuhrer. (2012). Comparative Analysis of Statistical Shape Spaces. arXiv (Cornell University). 2 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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