Tom Peterka
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- Computer Graphics and Visualization Techniques 27
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 12
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- Data Visualization and Analytics 9
- Advanced Vision and Imaging 8
- Medical Image Segmentation Techniques 5
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- Scientific Computing and Data Management 8
- Human-Computer Interaction top 5%
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- Advanced Data Storage Technologies 24
- Distributed and Parallel Computing Systems 12
- Co-authors
- Han‐Wei ShenHanqi GuoRobert RossJian HuangVenkatram VishwanathSalman HabibKatrin HeitmannAdrian Pope
- Cited by
- Computer Graphics and Computer-Aided DesignHardware and ArchitectureComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Visualization and Computer Graphics (10 papers)Future Generation Computer Systems (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Tom Peterka
55 papers receiving 968 citations
Peers
Comparison fields: 5 of 89
- Computer Graphics and Computer-Aided Design 295
- Hardware and Architecture 178
- Computer Vision and Pattern Recognition 396
- Information Systems and Management 108
- Human-Computer Interaction 84
Countries citing papers authored by Tom Peterka
This map shows the geographic impact of Tom Peterka'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 Tom Peterka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Peterka more than expected).
Fields of papers citing papers by Tom Peterka
This network shows the impact of papers produced by Tom Peterka. 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 Tom Peterka. The network helps show where Tom Peterka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tom Peterka, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 3 | |
| 9 | FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. | 2020 | 1 |
| 10 | 2018 | 3 | |
| 11 | 2018 | 5 | |
| 12 | 2018 | 8 | |
| 13 | 2017 | 22 | |
| 14 | 2016 | 2 | |
| 15 | 2014 | 18 | |
| 16 | 2013 | 11 | |
| 17 | 2013 | 122 | |
| 18 | 2012 | 19 | |
| 19 | 2011 | 20 | |
| 20 | 2009 | 1 |
About Tom Peterka
Tom Peterka is a scholar working on Computer Graphics and Computer-Aided Design, Hardware and Architecture, Computational Mathematics, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 58 papers that have together received 987 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (27 papers), Advanced Data Storage Technologies (24 papers), Distributed and Parallel Computing Systems (12 papers), Parallel Computing and Optimization Techniques (12 papers), Data Visualization and Analytics (9 papers), Advanced Vision and Imaging (8 papers), Scientific Computing and Data Management (8 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (295 citations), Hardware and Architecture (178 citations), Computer Vision and Pattern Recognition (396 citations), Information Systems and Management (108 citations) and Human-Computer Interaction (84 citations). Tom Peterka has collaborated with scholars based in United States, China and France. Frequent co-authors include Han‐Wei Shen, Hanqi Guo, Robert Ross, Jian Huang, Venkatram Vishwanath, Salman Habib, Katrin Heitmann, Adrian Pope, Hal Finkel and Patricia Fasel. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Future Generation Computer Systems, Communications of the ACM, Physical review. E 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.