Jay McCarthy

562 citations
23 papers · 277 · h-index 9

Impact in

Papers in

    • Logic, programming, and type systems 12
    • Advanced Software Engineering Methodologies 6
    • Service-Oriented Architecture and Web Services 4
    • Software Engineering Research 4

Jay McCarthy

22 papers receiving 261 citations

Peers

Jay McCarthy
Comparison fields: 5 of 29
  • Software 71
  • Hardware and Architecture 72
  • Artificial Intelligence 199
  • Computer Science Applications 27
  • Computational Theory and Mathematics 73
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James Hook United States
Florian Zuleger Austria
Nikolaos Papaspyrou Greece
M.C.J.D. van Eekelen Netherlands
Yaniv Eytani Israel
David Stoutamire United States
Marcus Denker France
Joe Gibbs Politz United States
Thomas Wies United States
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Citations per field
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Citations per year

Countries citing papers authored by Jay McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Jay McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Jay McCarthy, 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 Jay McCarthy Line = papers co-authored together Jay McCarthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 200738
3 201231
4 201231
5 201128
6 201524
7 201115
8 201615
9 20099
10 20148
11 20137
12 20175
13 20105
14 20175
15 20144
16 20233
17
Interaction-Safe State for the Web
20063
18 20192
19 20072
20 20131

About Jay McCarthy

Jay McCarthy is a scholar working on Artificial Intelligence, Information Systems, Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 23 papers that have together received 277 indexed citations. Recurring topics across this work include Logic, programming, and type systems (12 papers), Advanced Software Engineering Methodologies (6 papers), Parallel Computing and Optimization Techniques (6 papers), Service-Oriented Architecture and Web Services (4 papers), Software Engineering Research (4 papers), Formal Methods in Verification (4 papers), Software Testing and Debugging Techniques (3 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Software (71 citations), Hardware and Architecture (72 citations), Artificial Intelligence (199 citations), Computer Science Applications (27 citations) and Computational Theory and Mathematics (73 citations). Jay McCarthy has collaborated with scholars based in United States, Netherlands and Singapore. Frequent co-authors include Matthias Felleisen, Shriram Krishnamurthi, Robert Bruce Findler, Matthew Flatt, Sam Tobin-Hochstadt, Cormac Flanagan, Christos Dimoulas, John Clements, Helen H. Hu and Eric Mercer. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Science of Computer Programming, Journal of Functional Programming and Communications of the ACM.

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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