Jonathan Su
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis
- Lattice Boltzmann Simulation Studies
- Fluid Dynamics Simulations and Interactions
- Fluid Dynamics and Heat Transfer
- Computational Fluid Dynamics and Aerodynamics
Papers in
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- 3D Shape Modeling and Analysis 4
- Advanced Numerical Analysis Techniques 4
- Fluid Dynamics and Turbulent Flows 1
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- Computer Graphics and Visualization Techniques 5
- Co-authors
- Ronald Fedkiw (6 shared papers)Jon Gretarsson (3 shared papers)Nipun Kwatra (1 shared paper)Tamar Shinar (2 shared papers)Andrew Selle (1 shared paper)Geoffrey Irving (1 shared paper)Craig Schroeder (1 shared paper)K.A. Hua (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)ACM Transactions on Graphics (1 paper)IEEE Transactions on Computers (1 paper)Journal of Computational Physics (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan Su
7 papers receiving 368 citations
Peers
Comparison fields: 5 of 49
- Computer Graphics and Computer-Aided Design 163
- Computational Mechanics 307
- Computer Vision and Pattern Recognition 61
- Control and Systems Engineering 68
- Applied Mathematics 27
Countries citing papers authored by Jonathan Su
This map shows the geographic impact of Jonathan Su'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 Jonathan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Su more than expected).
Fields of papers citing papers by Jonathan Su
This network shows the impact of papers produced by Jonathan Su. 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 Jonathan Su. The network helps show where Jonathan Su may publish in the future.
Co-authors
The 8 scholars most cited alongside Jonathan Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 110 | |
| 2 | 2009 | 107 | |
| 3 | 2008 | 84 | |
| 4 | 2009 | 40 | |
| 5 | 2008 | 20 | |
| 6 | 2012 | 18 | |
| 7 | 1993 | 6 |
About Jonathan Su
Jonathan Su is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Control and Systems Engineering and Hardware and Architecture, having authored 7 papers that have together received 385 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers), Advanced Numerical Analysis Techniques (4 papers), Parallel Computing and Optimization Techniques (1 paper), Fluid Dynamics and Turbulent Flows (1 paper), Distributed systems and fault tolerance (1 paper), Distributed and Parallel Computing Systems (1 paper) and Gas Dynamics and Kinetic Theory (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (163 citations), Computational Mechanics (307 citations), Computer Vision and Pattern Recognition (61 citations), Control and Systems Engineering (68 citations) and Applied Mathematics (27 citations). Jonathan Su has collaborated with scholars based in United States. Frequent co-authors include Ronald Fedkiw, Jon Gretarsson, Nipun Kwatra, Tamar Shinar, Andrew Selle, Geoffrey Irving, Craig Schroeder and K.A. Hua. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, IEEE Transactions on Computers and Journal of Computational Physics.
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.