Jason Sewall
Impact in
-
- Computer Graphics and Visualization Techniques
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
-
- Computer Graphics and Visualization Techniques 8
-
- Parallel Computing and Optimization Techniques 11
- Co-authors
- David A. WilkieMing C. LinDinesh ManochaJur van den BergS. J. PennycookRahul NarainPradeep DubeySachin Patil
- Journals
- ACM Transactions on Graphics (5 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Future Generation Computer Systems (1 paper)Proceedings of the VLDB Endowment (1 paper)Computing in Science & Engineering (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Jason Sewall
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Computer Graphics and Computer-Aided Design 193
- Hardware and Architecture 210
- Building and Construction 241
- Ocean Engineering 277
- Computer Vision and Pattern Recognition 357
Countries citing papers authored by Jason Sewall
This map shows the geographic impact of Jason Sewall'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 Sewall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Sewall more than expected).
Fields of papers citing papers by Jason Sewall
This network shows the impact of papers produced by Jason Sewall. 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 Sewall. The network helps show where Jason Sewall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason Sewall, 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 | 2021 | 17 | |
| 2 | 2021 | 10 | |
| 3 | 2021 | 2 | |
| 4 | 2018 | 70 | |
| 5 | 2018 | 2 | |
| 6 | 2018 | 8 | |
| 7 | 2016 | 2 | |
| 8 | 2012 | 9 | |
| 9 | 2011 | 61 | |
| 10 | 2011 | 3 | |
| 11 | 2011 | 64 | |
| 12 | 2011 | 51 | |
| 13 | Efficient, scalable traffic and compressible fluid simulations using hyperbolic models | 2011 | 2 |
| 14 | 2011 | 74 | |
| 15 | 2010 | 63 | |
| 16 | 2008 | 2 | |
| 17 | 2008 | 28 | |
| 18 | 2008 | 140 | |
| 19 | 2008 | 80 | |
| 20 | 2007 | 6 |
About Jason Sewall
Jason Sewall is a scholar working on Computer Graphics and Computer-Aided Design, Hardware and Architecture, Ocean Engineering, Control and Systems Engineering and Computer Networks and Communications, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Evacuation and Crowd Dynamics (10 papers), Computer Graphics and Visualization Techniques (8 papers), Traffic control and management (8 papers), Traffic Prediction and Management Techniques (8 papers), Software System Performance and Reliability (6 papers), Cloud Computing and Resource Management (6 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (193 citations), Hardware and Architecture (210 citations), Building and Construction (241 citations), Ocean Engineering (277 citations) and Computer Vision and Pattern Recognition (357 citations). Jason Sewall has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include David A. Wilkie, Ming C. Lin, Dinesh Manocha, Jur van den Berg, S. J. Pennycook, Rahul Narain, Pradeep Dubey, Sachin Patil, Mark Carlson and Nadathur Satish. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, Future Generation Computer Systems, Proceedings of the VLDB Endowment and Computing in Science & Engineering.
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.