Guy McCusker

1.4k citations
35 papers · 1.0k · h-index 14

Impact in

Papers in

    • Formal Methods in Verification 12
    • Computability, Logic, AI Algorithms 9
    • Advanced Algebra and Logic 2
    • Logic, programming, and type systems 27
    • Logic, Reasoning, and Knowledge 23
    • Artificial Intelligence in Games 10
    • Semantic Web and Ontologies 2

Guy McCusker

33 papers receiving 969 citations

Peers

Guy McCusker
Comparison fields: 5 of 28
  • Computational Theory and Mathematics 695
  • Artificial Intelligence 977
  • Software 71
  • Hardware and Architecture 76
  • Computer Networks and Communications 71
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Citations per field
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Citations per year

Countries citing papers authored by Guy McCusker

Since Specialization
Citations

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

Fields of papers citing papers by Guy McCusker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Guy McCusker, 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 Guy McCusker Line = papers co-authored together Guy McCusker 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 2002149
2 1997145
3 199897
4 199880
5 199659
6 200357
7 201353
8 200053
9 200349
10 199943
11 200029
12 199929
13
Games for Recursive Types.
199426
14 201218
15 201113
16 200212
17 199612
18 200212
19 200311
20 201011

About Guy McCusker

Guy McCusker is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Logic, programming, and type systems (27 papers), Logic, Reasoning, and Knowledge (23 papers), Formal Methods in Verification (12 papers), Artificial Intelligence in Games (10 papers), Computability, Logic, AI Algorithms (9 papers), Advanced Database Systems and Queries (3 papers), Semantic Web and Ontologies (2 papers) and Advanced Algebra and Logic (2 papers). The work is most often cited by research in Computational Theory and Mathematics (695 citations), Artificial Intelligence (977 citations), Software (71 citations), Hardware and Architecture (76 citations) and Computer Networks and Communications (71 citations). Guy McCusker has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Samson Abramsky, Dan R. Ghica, Kohei Honda, Russell Harmer, Giulio Manzonetto, Michele Pagani, John Power, Ekaterina Komendantskaya, Matthew B. Wall and Cai Wingfield. Their work appears in journals such as Information and Computation, Theoretical Computer Science, Bulletin of Symbolic Logic, Annals of Pure and Applied Logic and Journal of Logic Language and Information.

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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