Jonathan Beaumont
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Computational Mathematics top 5%
Papers in
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- Parallel Computing and Optimization Techniques 8
-
- Advanced Data Storage Technologies 5
- Interconnection Networks and Systems 4
- Distributed and Parallel Computing Systems 1
- Co-authors
- Trevor Mudge (9 shared papers)Dong-Hyeon Park (6 shared papers)Chaitali Chakrabarti (5 shared papers)Ronald Dreslinski (5 shared papers)Hun‐Seok Kim (5 shared papers)David T. Blaauw (5 shared papers)Siying Feng (5 shared papers)Aporva Amarnath (5 shared papers)
- Journals
- IEEE Journal of Solid-State Circuits (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jonathan Beaumont
11 papers receiving 355 citations
Peers
Comparison fields: 5 of 40
- Hardware and Architecture 224
- Computational Mathematics 19
- Computer Networks and Communications 165
- Computer Vision and Pattern Recognition 120
- Artificial Intelligence 99
Countries citing papers authored by Jonathan Beaumont
This map shows the geographic impact of Jonathan Beaumont'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 Jonathan Beaumont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Beaumont more than expected).
Fields of papers citing papers by Jonathan Beaumont
This network shows the impact of papers produced by Jonathan Beaumont. 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 Jonathan Beaumont. The network helps show where Jonathan Beaumont may publish in the future.
Co-authors
The 21 scholars most cited alongside Jonathan Beaumont, 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 | 2018 | 226 | |
| 2 | Advances in block based fractal coding of still pictures | 1990 | 30 |
| 3 | 2015 | 26 | |
| 4 | 2017 | 26 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2019 | 10 | |
| 8 | 2019 | 6 | |
| 9 | 2017 | 4 | |
| 10 | 1994 | 4 | |
| 11 | 2019 | 1 |
About Jonathan Beaumont
Jonathan Beaumont is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Biophysics and Information Systems, having authored 11 papers that have together received 362 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (5 papers), Interconnection Networks and Systems (4 papers), Low-power high-performance VLSI design (2 papers), Cloud Computing and Resource Management (2 papers), Graph Theory and Algorithms (2 papers), Advanced Data Compression Techniques (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Hardware and Architecture (224 citations), Computational Mathematics (19 citations), Computer Networks and Communications (165 citations), Computer Vision and Pattern Recognition (120 citations) and Artificial Intelligence (99 citations). Jonathan Beaumont has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Trevor Mudge, Dong-Hyeon Park, Chaitali Chakrabarti, Ronald Dreslinski, Hun‐Seok Kim, David T. Blaauw, Siying Feng, Aporva Amarnath, Subhankar Pal and Scott A. Mahlke. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Edinburgh Research Explorer (University of Edinburgh) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.