Graham Hutton

1.8k citations
64 papers · 852 · h-index 15

Impact in

Papers in

Graham Hutton

58 papers receiving 754 citations

Peers

Graham Hutton
Comparison fields: 5 of 72
  • Software 117
  • Hardware and Architecture 191
  • Computational Theory and Mathematics 357
  • Artificial Intelligence 628
  • Computer Networks and Communications 137
Replace Jieh Hsiang with:
Jieh Hsiang Taiwan
David Pym United Kingdom
Scott Hissam United States
Thomas A. Alspaugh United States
Dan Craigen Canada
Santosh Shrivastava United Kingdom
Alan Hartman Israel
Naftaly H. Minsky United States
Shan Huang United States
Klaus‐Dieter Schewe New Zealand
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Citations per field
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Citations per year

Countries citing papers authored by Graham Hutton

Since Specialization
Citations

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

Fields of papers citing papers by Graham Hutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992105
2 1998104
3 199671
4 199963
5 199562
6
Monadic parser combinators
199661
7 200755
8 200930
9
Proof Methods for Corecursive Programs
200523
10 200117
11 199817
12 199817
13 200214
14 201914
15 199514
16 200113
17 201013
18 200212
19 201111
20
Proof methods for structured corecursive programs
199911

About Graham Hutton

Graham Hutton is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture, Information Systems and Computer Networks and Communications, having authored 64 papers that have together received 852 indexed citations. Recurring topics across this work include Logic, programming, and type systems (43 papers), Formal Methods in Verification (24 papers), Logic, Reasoning, and Knowledge (18 papers), Parallel Computing and Optimization Techniques (14 papers), Computability, Logic, AI Algorithms (6 papers), Software Engineering Research (5 papers), semigroups and automata theory (5 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Software (117 citations), Hardware and Architecture (191 citations), Computational Theory and Mathematics (357 citations), Artificial Intelligence (628 citations) and Computer Networks and Communications (137 citations). Graham Hutton has collaborated with scholars based in United Kingdom, Denmark and Sweden. Frequent co-authors include Erik Meijer, Jeremy Gibbons, Andy Gill, Niki Vazou, Thorsten Altenkirch, Neil Ghani, Erik Meijer, David Van Horn, Colin Higgins and D.G. Elliman. Their work appears in journals such as Journal of Functional Programming, Proceedings of the ACM on Programming Languages, Long Range Planning, International Affairs and New Technology Work and Employment.

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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