Tomas Simon

17.4k total citations · 4 hit papers
36 papers, 5.5k citations indexed

About

Tomas Simon is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Tomas Simon has authored 36 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 17 papers in Computational Mechanics and 13 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Tomas Simon's work include Advanced Vision and Imaging (22 papers), 3D Shape Modeling and Analysis (17 papers) and Computer Graphics and Visualization Techniques (13 papers). Tomas Simon is often cited by papers focused on Advanced Vision and Imaging (22 papers), 3D Shape Modeling and Analysis (17 papers) and Computer Graphics and Visualization Techniques (13 papers). Tomas Simon collaborates with scholars based in United States, Israel and Switzerland. Tomas Simon's co-authors include Yaser Sheikh, Shih-En Wei, Zhe Cao, Jason Saragih, Stephen Lombardi, Shunsuke Saito, Hanbyul Joo, Gabriel Schwartz, Andreas Lehrmann and Iain Matthews and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Computer Graphics Forum.

In The Last Decade

Tomas Simon

36 papers receiving 5.3k citations

Hit Papers

OpenPose: Realtime Multi-Person 2D Pose Estimation Using ... 2019 2026 2021 2023 2019 2020 2019 2022 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomas Simon United States 22 4.1k 1.3k 993 890 824 36 5.5k
Yaser Sheikh United States 38 6.3k 1.6× 1.1k 0.9× 779 0.8× 1.2k 1.4× 993 1.2× 107 8.0k
Gerard Pons‐Moll Germany 29 5.2k 1.3× 3.2k 2.5× 1.6k 1.6× 558 0.6× 592 0.7× 61 6.4k
Ruigang Yang United States 53 8.7k 2.1× 900 0.7× 941 0.9× 691 0.8× 314 0.4× 225 10.8k
Otmar Hilliges Switzerland 41 6.2k 1.5× 1.3k 1.0× 768 0.8× 2.8k 3.1× 861 1.0× 143 9.6k
Leonid Sigal United States 37 4.6k 1.1× 478 0.4× 265 0.3× 667 0.7× 641 0.8× 118 5.4k
Dan Casas Spain 21 2.3k 0.6× 838 0.7× 395 0.4× 762 0.9× 325 0.4× 45 2.9k
Aaron Bobick United States 45 8.0k 2.0× 581 0.5× 990 1.0× 1.8k 2.0× 1.9k 2.4× 128 9.8k
Javier Romero Germany 15 2.3k 0.6× 769 0.6× 202 0.2× 752 0.8× 315 0.4× 44 2.9k
Růžena Bajcsy United States 41 4.1k 1.0× 305 0.2× 362 0.4× 705 0.8× 1.3k 1.5× 246 6.9k
Jüergen Gall Germany 45 5.0k 1.2× 571 0.4× 159 0.2× 906 1.0× 629 0.8× 131 6.2k

Countries citing papers authored by Tomas Simon

Since Specialization
Citations

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

Fields of papers citing papers by Tomas Simon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomas Simon

This figure shows the co-authorship network connecting the top 25 collaborators of Tomas Simon. A scholar is included among the top collaborators of Tomas Simon 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 Tomas Simon. Tomas Simon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Iandola, Forrest, et al.. (2025). SqueezeMe: Mobile-Ready Distillation of Gaussian Full-Body Avatars. 1–11. 1 indexed citations
2.
Simon, Tomas, et al.. (2024). Universal Facial Encoding of Codec Avatars from VR Headsets. ACM Transactions on Graphics. 43(4). 1–22. 1 indexed citations
3.
Simon, Tomas, et al.. (2024). The Lips, the Teeth, the tip of the Tongue: LTT Tracking. 1–11. 1 indexed citations
4.
Schwartz, Gabriel, Rawal Khirodkar, Christian Richardt, et al.. (2024). URAvatar: Universal Relightable Gaussian Codec Avatars. 1–11. 1 indexed citations
5.
Saito, Shunsuke, Gabriel Schwartz, Tomas Simon, Junxuan Li, & Giljoo Nam. (2024). Relightable Gaussian Codec Avatars. 130–141. 33 indexed citations
6.
Pérez, Juan C., Thu Nguyen-Phuoc, Chen Cao, et al.. (2024). StyleAvatar: Stylizing Animatable Head Avatars. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 8663–8672. 1 indexed citations
7.
Tewari, Ayush, Justus Thies, Ben Mildenhall, et al.. (2022). Advances in Neural Rendering. Computer Graphics Forum. 41(2). 703–735. 203 indexed citations breakdown →
8.
Bagautdinov, Timur, Shugao Ma, Jason Saragih, et al.. (2022). Depth of Field Aware Differentiable Rendering. ACM Transactions on Graphics. 41(6). 1–18. 3 indexed citations
9.
Lombardi, Stephen, Tomas Simon, Gabriel Schwartz, et al.. (2021). Mixture of volumetric primitives for efficient neural rendering. ACM Transactions on Graphics. 40(4). 1–13. 18 indexed citations
10.
Bi, Sai, Stephen Lombardi, Shunsuke Saito, et al.. (2021). Deep relightable appearance models for animatable faces. ACM Transactions on Graphics. 40(4). 1–15. 1 indexed citations
11.
Wang, Ziyan, Timur Bagautdinov, Stephen Lombardi, et al.. (2021). Learning Compositional Radiance Fields of Dynamic Human Heads. 5700–5709. 57 indexed citations
12.
Raj, Amit, Michael Zollhöfer, Tomas Simon, et al.. (2021). Pixel-aligned Volumetric Avatars. 11728–11737. 35 indexed citations
13.
Cao, Zhe, et al.. (2019). OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(1). 172–186. 3013 indexed citations breakdown →
14.
Lombardi, Stephen, Tomas Simon, Jason Saragih, et al.. (2019). Neural volumes. ACM Transactions on Graphics. 38(4). 1–14. 418 indexed citations breakdown →
15.
Idrees, Haroon, et al.. (2019). Single-Network Whole-Body Pose Estimation. 6981–6990. 45 indexed citations
16.
Lombardi, Stephen, Jason Saragih, Tomas Simon, & Yaser Sheikh. (2018). Deep appearance models for face rendering. ACM Transactions on Graphics. 37(4). 1–13. 166 indexed citations
17.
Gotardo, Paulo, Tomas Simon, Yaser Sheikh, & Iain Matthews. (2015). Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction. 846–854. 24 indexed citations
18.
Simon, Tomas, et al.. (2014). 3D object manipulation in a single photograph using stock 3D models. ACM Transactions on Graphics. 33(4). 1–12. 90 indexed citations
19.
Akhter, Ijaz, Tomas Simon, Sohaib Khan, Iain Matthews, & Yaser Sheikh. (2012). Bilinear spatiotemporal basis models. ACM Transactions on Graphics. 31(2). 1–12. 75 indexed citations
20.
Simon, Tomas, Minh Hoai Nguyen, Fernando De la Torre, & Jeffrey F. Cohn. (2010). Action unit detection with segment-based SVMs. 2737–2744. 58 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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