James Tuck
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
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- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems
Papers in
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- Parallel Computing and Optimization Techniques 48
- Embedded Systems Design Techniques 8
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- Advanced Data Storage Technologies 20
- Distributed systems and fault tolerance 18
- Interconnection Networks and Systems 14
- Co-authors
- Josep Torrellas (18 shared papers)Luís Ceze (17 shared papers)Călin Caşcaval (3 shared papers)Albert J. Keung (9 shared papers)Yan Solihin (11 shared papers)Pablo Montesinos (3 shared papers)Jose Renau (7 shared papers)Karin Strauß (7 shared papers)
- Journals
- Nature Communications (3 papers)Bioinformatics (2 papers)IEEE Micro (2 papers)IEEE Computer Architecture Letters (2 papers)Communications of the ACM (2 papers)
- Partner nations
- United StatesJapanEgypt
In The Last Decade
James Tuck
68 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 88
- Hardware and Architecture 1.3k
- Computer Networks and Communications 1.3k
- Software 56
- Information Systems 209
- Artificial Intelligence 245
Countries citing papers authored by James Tuck
This map shows the geographic impact of James Tuck'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 James Tuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Tuck more than expected).
Fields of papers citing papers by James Tuck
This network shows the impact of papers produced by James Tuck. 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 James Tuck. The network helps show where James Tuck may publish in the future.
Co-authors
The 25 scholars most cited alongside James Tuck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 195 | |
| 2 | 2006 | 185 | |
| 3 | 2006 | 176 | |
| 4 | 2006 | 151 | |
| 5 | 2021 | 133 | |
| 6 | 2001 | 85 | |
| 7 | 2020 | 84 | |
| 8 | 2017 | 71 | |
| 9 | 2019 | 63 | |
| 10 | 2005 | 62 | |
| 11 | 2006 | 60 | |
| 12 | 2017 | 45 | |
| 13 | 2006 | 34 | |
| 14 | 2009 | 27 | |
| 15 | 2017 | 27 | |
| 16 | 2021 | 26 | |
| 17 | 2021 | 25 | |
| 18 | 2018 | 25 | |
| 19 | 2005 | 25 | |
| 20 | 2017 | 24 |
About James Tuck
James Tuck is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology and Artificial Intelligence, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (48 papers), Advanced Data Storage Technologies (20 papers), Distributed systems and fault tolerance (18 papers), Interconnection Networks and Systems (14 papers), Radiation Effects in Electronics (11 papers), DNA and Biological Computing (9 papers), Embedded Systems Design Techniques (8 papers) and Security and Verification in Computing (8 papers). The work is most often cited by research in Hardware and Architecture (1.3k citations), Computer Networks and Communications (1.3k citations), Software (56 citations), Information Systems (209 citations) and Artificial Intelligence (245 citations). James Tuck has collaborated with scholars based in United States, Japan and Egypt. Frequent co-authors include Josep Torrellas, Luís Ceze, Călin Caşcaval, Albert J. Keung, Yan Solihin, Pablo Montesinos, Jose Renau, Karin Strauß, Wei Liu and Wonsun Ahn. Their work appears in journals such as Nature Communications, Bioinformatics, IEEE Micro, IEEE Computer Architecture Letters and Communications of the ACM.
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.