Thomas Dinsdale-Young

839 citations
12 papers · 233 indexed · h-index 5

Thomas Dinsdale-Young

12 papers receiving 224 citations

Peers

Thomas Dinsdale-Young
Comparison fields: 5 of 14
  • Hardware and Architecture 95
  • Computer Networks and Communications 167
  • Artificial Intelligence 192
  • Computational Theory and Mathematics 83
  • Software 13
Replace Jaroslav Ševčík with:
Jaroslav Ševčík United Kingdom
Aleš Bizjak Denmark
Alceste Scalas United Kingdom
Jan Schwinghammer Germany
David Swasey Germany
Filip Sieczkowski Poland
Bernardo Toninho Portugal
Nicholas Ng United Kingdom
Kristian Støvring Denmark
Damien Doligez France
Thomas Dinsdale-Young relative to Jaroslav Ševčík United Kingdom Jaroslav Ševčík's profile →
Citations per field
00.5×3.4×
Jaroslav Ševčík · 1×
Citations per year

Countries citing papers authored by Thomas Dinsdale-Young

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 10 scholars most cited alongside Thomas Dinsdale-Young, 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 Thomas Dinsdale-Young Line = papers co-authored together Thomas Dinsdale-Young links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202115
2 20182
3 20174
4 20161
5 20152
6
Steps in modular specifications for concurrent modules
20151
7 20139
8 201375
9 20111
10 201113
11 2010109
12 20091

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), Parallel Computing and Optimization Techniques (6 papers), Formal Methods in Verification (5 papers), Security and Verification in Computing (3 papers), Advanced Database Systems and Queries (2 papers), semigroups and automata theory (1 paper) and Distributed and Parallel Computing Systems (1 paper). 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.

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