Jon C. Calhoun

722 citations
51 papers · 350 · h-index 9

Impact in

Papers in

Jon C. Calhoun

42 papers receiving 348 citations

Peers

Jon C. Calhoun
Comparison fields: 5 of 50
  • Hardware and Architecture 126
  • Computer Networks and Communications 161
  • Computational Mathematics 3
  • Computer Graphics and Computer-Aided Design 15
  • Software 15
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Richard Membarth Germany
Chun-Xun Lin United States
Ravi Teja Mullapudi United States
Rafael Asenjo Spain
Ching-Hsiang Chu United States
Evangelos Vlachos Greece
Lipeng Wan United States
Satnam Singh United Kingdom
Emanuele Del Sozzo Italy
Ivor Spence United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jon C. Calhoun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jon C. Calhoun Line = papers co-authored together Jon C. Calhoun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202289
2 201651
3 201828
4 201721
5 202016
6 201915
7 201213
8 202210
9 202110
10 20248
11 20217
12 20156
13 20236
14 20216
15 20245
16 20214
17 20244
18 20184
19 20154
20 20214

About Jon C. Calhoun

Jon C. Calhoun is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 350 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 Cryptography and Data Security (3 papers). The work is most often cited by research in Hardware and Architecture (126 citations), Computer Networks and Communications (161 citations), Computational Mathematics (3 citations), Computer Graphics and Computer-Aided Design (15 citations) and Software (15 citations). Jon C. Calhoun has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Luke N. Olson, Franck Cappello, Robert Underwood, Marc Snir, William Gropp, David F. Richards, Ignacio Laguna, Martin Schulz, Sheng Di and Dingwen Tao. Their work appears in journals such as The International Journal of High Performance Computing Applications, Future Generation Computer Systems, Parallel Computing, IEEE Transactions on Big Data and IEEE Transactions on Parallel and Distributed Systems.

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.

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