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
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics Simulations and Interactions
- Fluid Dynamics and Heat Transfer
Papers in
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- Computer Graphics and Visualization Techniques 5
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- Advanced Numerical Analysis Techniques 4
- 3D Shape Modeling and Analysis 4
- Fluid Dynamics and Turbulent Flows 1
- Computational Fluid Dynamics and Aerodynamics 1
- Co-authors
- Ron Fedkiw (6 shared papers)Jón Tómas Grétarsson (3 shared papers)Nipun Kwatra (1 shared paper)Tamar Shinar (2 shared papers)Andrew P. 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)IEEE Transactions on Computers (1 paper)Journal of Computational Physics (1 paper)ACM Transactions on Graphics (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan Su
7 papers receiving 398 citations
Peers
Comparison fields: 5 of 49
- Computer Graphics and Computer-Aided Design 188
- Computational Mechanics 324
- Computer Vision and Pattern Recognition 71
- Control and Systems Engineering 74
- Applied Mathematics 28
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 | 116 | |
| 2 | 2009 | 112 | |
| 3 | 2008 | 100 | |
| 4 | 2009 | 42 | |
| 5 | 2008 | 22 | |
| 6 | 2012 | 19 | |
| 7 | 1993 | 6 |
About Jonathan Su
Jonathan Su is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Hardware and Architecture, Applied Mathematics and Control and Systems Engineering, having authored 7 papers that have together received 417 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), Advanced Numerical Analysis Techniques (4 papers), 3D Shape Modeling and Analysis (4 papers), Distributed and Parallel Computing Systems (1 paper), Fluid Dynamics and Turbulent Flows (1 paper), Distributed systems and fault tolerance (1 paper), Computational Fluid Dynamics and Aerodynamics (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 (188 citations), Computational Mechanics (324 citations), Computer Vision and Pattern Recognition (71 citations), Control and Systems Engineering (74 citations) and Applied Mathematics (28 citations). Jonathan Su has collaborated with scholars based in United States. Frequent co-authors include Ron Fedkiw, Jón Tómas Grétarsson, Nipun Kwatra, Tamar Shinar, Andrew P. Selle, Geoffrey Irving, Craig Schroeder and K.A. Hua. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Computers, Journal of Computational Physics and ACM Transactions on Graphics.
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.