Jason Lawrence
- Computer Vision and Pattern Recognition top 0.5%
- Computer Graphics and Computer-Aided Design top 0.1%
- Computational Mechanics top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Media Technology top 2%
- Co-authors
- Ravi RamamoorthiSzymon RusinkiewiczMichael HolroydFabio PellaciniTodd ZicklerWojciech MatusikPedro V. SanderPitchaya Sitthi‐Amorn
- Topics
- Computer Graphics and Visualization Techniques (43 papers)Advanced Vision and Imaging (27 papers)3D Shape Modeling and Analysis (24 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- Physical Chemistry Chemical PhysicsACM Transactions on GraphicsIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jason Lawrence
60 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 1.3k
- Computer Graphics and Computer-Aided Design 1.3k
- Computational Mechanics 622
- Atomic and Molecular Physics, and Optics 171
- Media Technology 147
Countries citing papers authored by Jason Lawrence
This map shows the geographic impact of Jason Lawrence'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 Lawrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Lawrence more than expected).
Fields of papers citing papers by Jason Lawrence
This network shows the impact of papers produced by Jason Lawrence. 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 Lawrence. The network helps show where Jason Lawrence may publish in the future.
Co-authorship network of co-authors of Jason Lawrence
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Lawrence. A scholar is included among the top collaborators of Jason Lawrence 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 Lawrence. Jason Lawrence is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 70 | |
| 7 | 38 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 30 | |
| 11 | 27 | |
| 12 | 9 | |
| 13 | 9 | |
| 14 | 89 | |
| 15 | 71 | |
| 16 | 8 | |
| 17 | 75 | |
| 18 | Isoluminant color picking for non-photorealistic rendering | 9 |
| 19 | 20 | |
| 20 | 21 |
About Jason Lawrence
Jason Lawrence is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (43 papers), Advanced Vision and Imaging (27 papers) and 3D Shape Modeling and Analysis (24 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.3k citations), Computer Vision and Pattern Recognition (1.3k citations) and Computational Mechanics (622 citations). Jason Lawrence has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Ravi Ramamoorthi, Szymon Rusinkiewicz, Michael Holroyd, Fabio Pellacini, Todd Zickler, Wojciech Matusik, Pedro V. Sander, Pitchaya Sitthi‐Amorn, Diego Nehab and Lei Yang. Their work appears in journals such as Physical Chemistry Chemical Physics, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer 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.