Thomas Dinsdale-Young
- Artificial Intelligence top 10%
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Computational Theory and Mathematics top 5%
- Software
- Co-authors
- Philippa GardnerMatthew ParkinsonMike DoddsViktor VafeiadisLars BirkedalHongseok YangKasper SvendsenNikos Tzevelekos
- Topics
- Distributed systems and fault tolerance (10 papers)Logic, programming, and type systems (6 papers)Parallel Computing and Optimization Techniques (6 papers)
- Journals
- ACM SIGPLAN NoticesInformation and ComputationElectronic Notes in Theoretical Computer Science
- Partner nations
- United KingdomDenmarkFrance
In The Last Decade
Thomas Dinsdale-Young
12 papers receiving 224 citations
Peers
Comparison fields: 5 of 14
- Artificial Intelligence 192
- Computer Networks and Communications 167
- Hardware and Architecture 95
- Computational Theory and Mathematics 83
- Software 13
Countries citing papers authored by Thomas Dinsdale-Young
This map shows the geographic impact of Thomas Dinsdale-Young'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 Thomas Dinsdale-Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Dinsdale-Young more than expected).
Fields of papers citing papers by Thomas Dinsdale-Young
This network shows the impact of papers produced by Thomas Dinsdale-Young. 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 Thomas Dinsdale-Young. The network helps show where Thomas Dinsdale-Young may publish in the future.
Co-authorship network of co-authors of Thomas Dinsdale-Young
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Dinsdale-Young. A scholar is included among the top collaborators of Thomas Dinsdale-Young based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Dinsdale-Young. Thomas Dinsdale-Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | Steps in modular specifications for concurrent modules | 1 |
| 7 | 9 | |
| 8 | 75 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 109 | |
| 12 | 1 |
About Thomas Dinsdale-Young
Thomas Dinsdale-Young is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 12 papers that have together received 233 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (10 papers), Logic, programming, and type systems (6 papers) and Parallel Computing and Optimization Techniques (6 papers). The work is most often cited by research in Hardware and Architecture (95 citations), Computer Networks and Communications (167 citations) and Artificial Intelligence (192 citations). Thomas Dinsdale-Young has collaborated with scholars based in United Kingdom, Denmark and France. Frequent co-authors include Philippa Gardner, Matthew Parkinson, Mike Dodds, Viktor Vafeiadis, Lars Birkedal, Hongseok Yang, Kasper Svendsen, Nikos Tzevelekos, Cristiano Calcagno and James C. Sutherland. Their work appears in journals such as ACM SIGPLAN Notices, Information and Computation and Electronic Notes in Theoretical Computer Science.
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.