Don Syme

1.1k citations
32 papers · 449 · h-index 11

Impact in

Papers in

Don Syme

31 papers receiving 404 citations

Peers

Don Syme
Comparison fields: 5 of 32
  • Hardware and Architecture 150
  • Software 71
  • Artificial Intelligence 397
  • Computational Theory and Mathematics 101
  • Computer Networks and Communications 144
Replace Tobias Wrigstad with:
Tobias Wrigstad Sweden
Kevin Bierhoff United States
Jérôme Vouillon France
Alex Potanin New Zealand
Andres Löh Netherlands
Nathaniel Nystrom United States
Robert Hieb United States
Yoshihiko Futamura Japan
Arthur Charguéraud France
Bruno C. d. S. Oliveira Hong Kong
Don Syme relative to Tobias Wrigstad Sweden Tobias Wrigstad's profile →
Citations per field
00.5×1.6×
Tobias Wrigstad · 1×
Citations per year

Countries citing papers authored by Don Syme

Since Specialization
Citations

This map shows the geographic impact of Don Syme'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 Don Syme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Syme more than expected).

Fields of papers citing papers by Don Syme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don Syme. 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 Don Syme. The network helps show where Don Syme may publish in the future.

Co-authors

The 14 scholars most cited alongside Don Syme, 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 Don Syme Line = papers co-authored together Don Syme links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001130
2 200154
3 200736
4 200632
5 200428
6 200724
7 200123
8
Strongly-Typed Language Support for Internet- Scale Information Sources
201216
9 200614
10 200111
11 200110
12 20047
13 20076
14 20166
15 20105
16
Expert F# (Expert's Voice in .Net)
20075
17 20044
18
Initializing Mutually Referential Abstract Objects: The Value Recursion Challenge
20064
19
Expert F# 3.0
20124
20 20154

About Don Syme

Don Syme is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics and Information Systems, having authored 32 papers that have together received 449 indexed citations. Recurring topics across this work include Logic, programming, and type systems (20 papers), Parallel Computing and Optimization Techniques (11 papers), Formal Methods in Verification (6 papers), Advanced Database Systems and Queries (6 papers), Advanced Software Engineering Methodologies (5 papers), Software Engineering Research (5 papers), Distributed and Parallel Computing Systems (4 papers) and Logic, Reasoning, and Knowledge (3 papers). The work is most often cited by research in Hardware and Architecture (150 citations), Software (71 citations), Artificial Intelligence (397 citations), Computational Theory and Mathematics (101 citations) and Computer Networks and Communications (144 citations). Don Syme has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Andrew Kennedy, Andrew D. Gordon, Antonio Cisternino, J. Margetson, Dachuan Yu, Advait Sarkar, Alan F. Blackwell, Tao Liu, Alan Mycroft and Jonathan de Halleux. Their work appears in journals such as ACM SIGPLAN Notices, Eukaryotic Cell, Proceedings of the ACM on Programming Languages, Electronic Notes in Theoretical Computer Science and Concurrency and Computation Practice and Experience.

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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