Jason Saragih
- Computer Vision and Pattern Recognition top 0.1%
- Experimental and Cognitive Psychology top 0.5%
- Computational Mechanics top 0.5%
- Computer Graphics and Computer-Aided Design top 0.2%
- Cognitive Neuroscience top 5%
- Co-authors
- Jeffrey F. CohnPatrick LuceyIain MatthewsZara AmbadarTakeo KanadeSimon LuceyTomas SimonYaser Sheikh
- Topics
- Face recognition and analysis (38 papers)Advanced Vision and Imaging (21 papers)3D Shape Modeling and Analysis (19 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignExperimental and Cognitive Psychology
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Jason Saragih
57 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 4.8k
- Experimental and Cognitive Psychology 2.4k
- Computational Mechanics 1.2k
- Computer Graphics and Computer-Aided Design 796
- Cognitive Neuroscience 531
Countries citing papers authored by Jason Saragih
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels | 4 |
| 10 | Neural volumesbreakdown → | 418 |
| 11 | 166 | |
| 12 | 7 | |
| 13 | 42 | |
| 14 | 12 | |
| 15 | 45 | |
| 16 | The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expressionbreakdown → | 2758 |
| 17 | 16 | |
| 18 | 74 | |
| 19 | 225 | |
| 20 | 1 |
About Jason Saragih
Jason Saragih is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 59 papers that have together received 5.9k indexed citations. Recurring topics across this work include Face recognition and analysis (38 papers), Advanced Vision and Imaging (21 papers) and 3D Shape Modeling and Analysis (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.8k citations), Computer Graphics and Computer-Aided Design (796 citations) and Experimental and Cognitive Psychology (2.4k citations). Jason Saragih has collaborated with scholars based in United States, Australia and Israel. Frequent 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. Their work appears in journals such as ACM Transactions on Graphics, Pattern Recognition and International Journal of Computer Vision.
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.