Jon C. Calhoun
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 27
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- Advanced Data Storage Technologies 24
- Distributed systems and fault tolerance 13
- Distributed and Parallel Computing Systems 5
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- Radiation Effects in Electronics 7
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- Algorithms and Data Compression 6
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- Autonomous Vehicle Technology and Safety 3
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- Advanced Neural Network Applications 3
- Co-authors
- Luke N. OlsonFranck CappelloRobert UnderwoodMarc SnirWilliam GroppIgnacio LagunaDavid F. RichardsMartin Schulz
- Journals
- The International Journal of High Performance Computing Applications (3 papers)Future Generation Computer Systems (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jon C. Calhoun
42 papers receiving 334 citations
Peers
Comparison fields: 5 of 49
- Hardware and Architecture 124
- Computer Networks and Communications 160
- Computational Mathematics 3
- Computer Graphics and Computer-Aided Design 14
- Software 15
Countries citing papers authored by Jon C. Calhoun
This map shows the geographic impact of Jon C. Calhoun'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 Jon C. Calhoun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon C. Calhoun more than expected).
Fields of papers citing papers by Jon C. Calhoun
This network shows the impact of papers produced by Jon C. Calhoun. 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 Jon C. Calhoun. The network helps show where Jon C. Calhoun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jon C. Calhoun, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 86 | |
| 11 | 2022 | 0 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2019 | 1 | |
| 17 | 2018 | 27 | |
| 18 | 2016 | 50 | |
| 19 | 2015 | 4 | |
| 20 | 2015 | 6 |
About Jon C. Calhoun
Jon C. Calhoun is a scholar working on Hardware and Architecture, Computational Mathematics, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 338 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (27 papers), Advanced Data Storage Technologies (24 papers), Distributed systems and fault tolerance (13 papers), Radiation Effects in Electronics (7 papers), Algorithms and Data Compression (6 papers), Distributed and Parallel Computing Systems (5 papers), Autonomous Vehicle Technology and Safety (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Hardware and Architecture (124 citations), Computer Networks and Communications (160 citations), Computational Mathematics (3 citations), Computer Graphics and Computer-Aided Design (14 citations) and Software (15 citations). Jon C. Calhoun has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Luke N. Olson, Franck Cappello, Robert Underwood, Marc Snir, William Gropp, Ignacio Laguna, David F. Richards, Martin Schulz, Jiannan Tian and Sheng Di. Their work appears in journals such as The International Journal of High Performance Computing Applications, Future Generation Computer Systems, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Big Data.
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.