Jason Saragih

9.3k total citations · 4 hit papers
59 papers, 5.9k citations indexed

About

Jason Saragih is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jason Saragih has authored 59 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 20 papers in Computational Mechanics and 10 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jason Saragih's work include Face recognition and analysis (38 papers), Advanced Vision and Imaging (21 papers) and 3D Shape Modeling and Analysis (19 papers). Jason Saragih is often cited by papers focused on Face recognition and analysis (38 papers), Advanced Vision and Imaging (21 papers) and 3D Shape Modeling and Analysis (19 papers). Jason Saragih collaborates with scholars based in United States, Australia and Israel. Jason Saragih's co-authors include Jeffrey F. Cohn, Patrick Lucey, Iain Matthews, Zara Ambadar, Takeo Kanade, Simon Lucey, Tomas Simon, Yaser Sheikh, Stephen Lombardi and Shunsuke Saito and has published in prestigious journals such as ACM Transactions on Graphics, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Jason Saragih

57 papers receiving 5.7k citations

Hit Papers

The Extended Cohn-Kanade Dataset (CK+): A complete datase... 2010 2026 2015 2020 2010 2010 2020 2019 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Saragih United States 24 4.8k 2.4k 1.2k 796 531 59 5.9k
Zhigang Deng United States 26 1.3k 0.3× 614 0.3× 550 0.5× 322 0.4× 282 0.5× 109 2.8k
Shigeo Morishima Japan 18 1.5k 0.3× 148 0.1× 719 0.6× 446 0.6× 305 0.6× 253 2.1k
Mohamed Daoudi France 28 2.2k 0.4× 299 0.1× 614 0.5× 160 0.2× 106 0.2× 125 2.7k
Edilson de Aguiar Germany 20 1.8k 0.4× 432 0.2× 724 0.6× 447 0.6× 98 0.2× 52 2.3k
Carol O’Sullivan Ireland 31 1.8k 0.4× 137 0.1× 804 0.7× 837 1.1× 363 0.7× 166 3.2k
Ming Ouhyoung Taiwan 25 2.2k 0.4× 93 0.0× 1.1k 1.0× 602 0.8× 763 1.4× 113 4.0k
Eyal Ofek United States 41 3.6k 0.7× 147 0.1× 212 0.2× 421 0.5× 2.0k 3.8× 111 6.2k
Benjamin Watson United States 22 1.0k 0.2× 94 0.0× 378 0.3× 636 0.8× 373 0.7× 93 2.3k
Bobby Bodenheimer United States 30 2.0k 0.4× 94 0.0× 532 0.5× 403 0.5× 737 1.4× 124 4.5k
Yingqing Xu China 28 2.1k 0.4× 67 0.0× 522 0.4× 923 1.2× 153 0.3× 102 2.8k

Countries citing papers authored by Jason Saragih

Since Specialization
Citations

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

Fields of papers citing papers by Jason Saragih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Saragih

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Saragih. A scholar is included among the top collaborators of Jason Saragih 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 Jason Saragih. Jason Saragih 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.
Xu, Weipeng, Alexander Richard, Shih-En Wei, et al.. (2025). Rewind: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning. 7095–7104. 1 indexed citations
2.
Wang, Rong, Junxuan Li, Shunsuke Saito, et al.. (2025). FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images. 281–291. 1 indexed citations
3.
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
4.
Nam, Giljoo, et al.. (2024). A Local Appearance Model for Volumetric Capture of Diverse Hairstyles. 190–200. 1 indexed citations
5.
Simon, Tomas, et al.. (2024). The Lips, the Teeth, the tip of the Tongue: LTT Tracking. 1–11. 1 indexed citations
6.
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
7.
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
8.
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
9.
Zhou, Yi, Chenglei Wu, Zimo Li, et al.. (2020). Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels. Neural Information Processing Systems. 33. 9251–9262. 4 indexed citations
10.
Lombardi, Stephen, Tomas Simon, Jason Saragih, et al.. (2019). Neural volumes. ACM Transactions on Graphics. 38(4). 1–14. 418 indexed citations breakdown →
11.
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
12.
Fookes, Clinton, et al.. (2013). Deformable face ensemble alignment with robust grouped-L1 anchors. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1–7. 7 indexed citations
13.
Chew, Sien Wei, Patrick Lucey, Simon Lucey, et al.. (2012). In the Pursuit of Effective Affective Computing: The Relationship Between Features and Registration. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(4). 1006–1016. 42 indexed citations
14.
Saragih, Jason. (2011). Principal regression analysis. 2881–2888. 12 indexed citations
15.
Saragih, Jason, Simon Lucey, & Jeffrey F. Cohn. (2011). Real-time avatar animation from a single image. PubMed. 117–124. 45 indexed citations
16.
Lucey, Patrick, Jeffrey F. Cohn, Takeo Kanade, et al.. (2010). The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression. 94–101. 2758 indexed citations breakdown →
17.
Lucey, Simon, Yang Wang, Jason Saragih, & Jeffery F. Cohn. (2009). Non-rigid face tracking with enforced convexity and local appearance consistency constraint. Image and Vision Computing. 28(5). 781–789. 16 indexed citations
18.
Ryan, Andrew H., Jeffery F. Cohn, Simon Lucey, et al.. (2009). Automated Facial Expression Recognition System. 172–177. 74 indexed citations
19.
Saragih, Jason, Simon Lucey, & Jeffrey F. Cohn. (2009). Face alignment through subspace constrained mean-shifts. 1034–1041. 225 indexed citations
20.
Saragih, Jason, Simon Lucey, & Jeffrey F. Cohn. (2008). Deformable Face Fitting with Soft Correspondence Constraints. PubMed. 2. 1–8. 1 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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