Tom Deakin
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 24
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- Advanced Data Storage Technologies 14
- Distributed and Parallel Computing Systems 11
- Software System Performance and Reliability 4
- Information Systems top 10%
- Cloud Computing and Resource Management 7
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- Advanced Numerical Methods in Computational Mathematics 3
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- Radioactivity and Radon Measurements 2
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- Low-power high-performance VLSI design 2
- Co-authors
- Simon McIntosh‐SmithJames PriceMatt MartineauJason SewallS. J. PennycookDouglas W. JacobsenWayne GaudinTimothy G. Mattson
- Journals
- The International Journal of High Performance Computing Applications (1 paper)IEEE Transactions on Magnetics (1 paper)Bioanalysis (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Tom Deakin
32 papers receiving 307 citations
Peers
Comparison fields: 5 of 47
- Hardware and Architecture 219
- Computer Networks and Communications 207
- Information Systems 59
- Information Systems and Management 12
- Computational Mechanics 24
Countries citing papers authored by Tom Deakin
This map shows the geographic impact of Tom Deakin'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 Deakin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Deakin more than expected).
Fields of papers citing papers by Tom Deakin
This network shows the impact of papers produced by Tom Deakin. 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 Deakin. The network helps show where Tom Deakin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tom Deakin, 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 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 26 | |
| 12 | 2020 | 19 | |
| 13 | 2019 | 31 | |
| 14 | 2019 | 39 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 39 | |
| 17 | Portable methods for measuring cache hierarchy performance | 2017 | 1 |
| 18 | 2016 | 7 | |
| 19 | GPU-STREAM: Benchmarking the achievable memory bandwidth of Graphics Processing Units | 2015 | 9 |
| 20 | 2007 | 6 |
About Tom Deakin
Tom Deakin is a scholar working on Hardware and Architecture, Computer Networks and Communications, Radiological and Ultrasound Technology, Radiation and Information Systems, having authored 36 papers that have together received 326 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (24 papers), Advanced Data Storage Technologies (14 papers), Distributed and Parallel Computing Systems (11 papers), Cloud Computing and Resource Management (7 papers), Software System Performance and Reliability (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Radioactivity and Radon Measurements (2 papers) and Low-power high-performance VLSI design (2 papers). The work is most often cited by research in Hardware and Architecture (219 citations), Computer Networks and Communications (207 citations), Information Systems (59 citations), Information Systems and Management (12 citations) and Computational Mechanics (24 citations). Tom Deakin has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Simon McIntosh‐Smith, James Price, Matt Martineau, Jason Sewall, S. J. Pennycook, Douglas W. Jacobsen, Wayne Gaudin, Timothy G. Mattson, R.P. Smedley‐Stevenson and James H. Cownie. Their work appears in journals such as The International Journal of High Performance Computing Applications, IEEE Transactions on Magnetics, Bioanalysis, Computing in Science & Engineering and Lab on a Chip.
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.