Simon Peyton Jones

11.7k citations
255 papers · 6.4k · 1 hit paper · h-index 43

Impact in

Papers in

Simon Peyton Jones

235 papers receiving 5.7k citations

Simon Peyton Jones's Hit Papers

Report on the programming language Haskell 1992 · 527 citations
5270+11+22Years since publication100200300400500

Peers

Simon Peyton Jones
Comparison fields: 5 of 127
  • Hardware and Architecture 2.6k
  • Software 905
  • Artificial Intelligence 4.9k
  • Computational Theory and Mathematics 2.1k
  • Computer Networks and Communications 1.9k
Replace Philip Wadler with:
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Simon Peyton Jones relative to Philip Wadler United Kingdom Philip Wadler's profile →
Citations per field
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Philip Wadler · 1×
Citations per year

Countries citing papers authored by Simon Peyton Jones

Since Specialization
Citations

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

Fields of papers citing papers by Simon Peyton Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Peyton Jones. 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 Simon Peyton Jones. The network helps show where Simon Peyton Jones may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Peyton Jones, 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 Simon Peyton Jones Line = papers co-authored together Simon Peyton Jones links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Report on the programming language Haskell
Hit paper breakdown →
1992527
2 2002330
3 2006223
4 2003212
5 1996176
6 2005155
7 2007150
8 2005130
9 2007122
10 2007121
11 2008119
12 2012110
13
Playing by the rules: rewriting as a practical optimisation technique in GHC
2001109
14 2006108
15
The Glasgow Haskell Compiler: a technical overview
1993101
16 2002101
17 2003100
18 201093
19 201182
20 200276

About Simon Peyton Jones

Simon Peyton Jones is a scholar working on Artificial Intelligence, Hardware and Architecture, Computational Theory and Mathematics, Computer Networks and Communications and Information Systems, having authored 255 papers that have together received 6.4k indexed citations. Recurring topics across this work include Logic, programming, and type systems (145 papers), Parallel Computing and Optimization Techniques (96 papers), Formal Methods in Verification (54 papers), Software Engineering Research (45 papers), Security and Verification in Computing (25 papers), Advanced Database Systems and Queries (24 papers), Logic, Reasoning, and Knowledge (24 papers) and Distributed and Parallel Computing Systems (18 papers). The work is most often cited by research in Hardware and Architecture (2.6k citations), Software (905 citations), Artificial Intelligence (4.9k citations), Computational Theory and Mathematics (2.1k citations) and Computer Networks and Communications (1.9k citations). Simon Peyton Jones has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Simon Marlow, Dimitrios Vytiniotis, Ralf Lämmel, Tim Sheard, Manuel M. T. Chakravarty, Stephanie Weirich, Gabriele Keller, Martin Sulzmann, Philip Wadler and Sigbjørn Finne. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, Proceedings of the ACM on Programming Languages, Communications of the ACM and Journal of Popular Music Studies.

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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