Andrew Tolmach

1.6k citations
35 papers · 828 · h-index 15

Impact in

Papers in

Andrew Tolmach

33 papers receiving 728 citations

Peers

Andrew Tolmach
Comparison fields: 5 of 33
  • Hardware and Architecture 360
  • Software 158
  • Artificial Intelligence 688
  • Computational Theory and Mathematics 243
  • Computer Networks and Communications 237
Replace Alan Mycroft with:
Alan Mycroft United Kingdom
Yanhong A. Liu United States
Nick Benton United Kingdom
Francesco Zappa Nardelli France
Vugranam C. Sreedhar United States
Oleg Kiselyov Japan
Carsten K. Gomard Denmark
Martin Sulzmann Singapore
Conor McBride United Kingdom
Bruce F. Duba United States
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Citations per field
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Citations per year

Countries citing papers authored by Andrew Tolmach

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Tolmach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998162
2
Playing by the rules: rewriting as a practical optimisation technique in GHC
2001109
3 199874
4 199050
5 200548
6 199446
7 199540
8 201034
9 201527
10 201425
11 200724
12 201722
13 199822
14 199318
15 201815
16 199814
17 199114
18
Debugging standard ML
199213
19 19949
20 20169

About Andrew Tolmach

Andrew Tolmach is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics and Signal Processing, having authored 35 papers that have together received 828 indexed citations. Recurring topics across this work include Logic, programming, and type systems (25 papers), Parallel Computing and Optimization Techniques (20 papers), Formal Methods in Verification (10 papers), Security and Verification in Computing (10 papers), Distributed and Parallel Computing Systems (6 papers), Advanced Malware Detection Techniques (5 papers), Distributed systems and fault tolerance (4 papers) and Embedded Systems Design Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (360 citations), Software (158 citations), Artificial Intelligence (688 citations), Computational Theory and Mathematics (243 citations) and Computer Networks and Communications (237 citations). Andrew Tolmach has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Eelco Visser, Zine-el-Abidine Benaissa, Andrew W. Appel, Simon Peyton Jones, Dino P. Oliva, Tony Hoare, Thomas Hallgren, Mark P. Jones, Sergio Antoy and Benjamin C. Pierce. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, Journal of Computer Security, Proceedings of the ACM on Programming Languages 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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