Will Usher
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Data Visualization and Analytics
Papers in
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- Computer Graphics and Visualization Techniques 20
- Computational Geometry and Mesh Generation 3
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- Advanced Vision and Imaging 5
- Data Visualization and Analytics 3
- Co-authors
- Valerio Pascucci (14 shared papers)Ingo Wald (14 shared papers)Aaron Knoll (6 shared papers)Peer‐Timo Bremer (2 shared papers)Alessandra Angelucci (1 shared paper)Kwan‐Liu Ma (1 shared paper)Frederick Federer (1 shared paper)David Pugmire (2 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (6 papers)Computer Graphics Forum (2 papers)IEEE Computer Graphics and Applications (1 paper)Computing in Science & Engineering (1 paper)Computer Physics Communications (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Will Usher
26 papers receiving 367 citations
Peers
Comparison fields: 5 of 68
- Computer Graphics and Computer-Aided Design 169
- Computer Vision and Pattern Recognition 162
- Hardware and Architecture 40
- Biophysics 25
- Information Systems and Management 31
Countries citing papers authored by Will Usher
This map shows the geographic impact of Will Usher'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 Will Usher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Usher more than expected).
Fields of papers citing papers by Will Usher
This network shows the impact of papers produced by Will Usher. 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 Will Usher. The network helps show where Will Usher may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Usher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 97 | |
| 2 | 2017 | 55 | |
| 3 | 2015 | 25 | |
| 4 | 2019 | 21 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 20 | |
| 7 | 2021 | 20 | |
| 8 | 2019 | 13 | |
| 9 | 2018 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2017 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2019 | 6 | |
| 19 | An Overview of the Topology ToolKit | 2019 | 4 |
| 20 | 2020 | 4 |
About Will Usher
Will Usher is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Mechanics and Signal Processing, having authored 29 papers that have together received 376 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (20 papers), Advanced Data Storage Technologies (8 papers), 3D Shape Modeling and Analysis (5 papers), Advanced Vision and Imaging (5 papers), Distributed and Parallel Computing Systems (4 papers), Data Visualization and Analytics (3 papers), Data Management and Algorithms (3 papers) and Computational Geometry and Mesh Generation (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (169 citations), Computer Vision and Pattern Recognition (162 citations), Hardware and Architecture (40 citations), Biophysics (25 citations) and Information Systems and Management (31 citations). Will Usher has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Valerio Pascucci, Ingo Wald, Aaron Knoll, Peer‐Timo Bremer, Alessandra Angelucci, Kwan‐Liu Ma, Frederick Federer, David Pugmire, Berk Geveci and Hank Childs. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, IEEE Computer Graphics and Applications, Computing in Science & Engineering and Computer Physics Communications.
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.