Conor McBride

2.9k citations
49 papers · 1.1k · h-index 19

Impact in

Papers in

Conor McBride

47 papers receiving 1.0k citations

Peers

Conor McBride
Comparison fields: 5 of 49
  • Computational Theory and Mathematics 546
  • Artificial Intelligence 1.0k
  • Hardware and Architecture 215
  • Software 111
  • Information Systems 239
Replace Martin Hofmann with:
Martin Hofmann Germany
Ross Paterson United Kingdom
Ralf Hinze Germany
Nick Benton United Kingdom
Jean-Christophe Filliâtre France
Bruce F. Duba United States
Gavin Bierman United Kingdom
Christine Paulin-Mohring France
Peter D. Mosses Denmark
Chung-Kil Hur South Korea
Conor McBride relative to Martin Hofmann Germany Martin Hofmann's profile →
Citations per field
00.5×2.6×
Martin Hofmann · 1×
Citations per year

Countries citing papers authored by Conor McBride

Since Specialization
Citations

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

Fields of papers citing papers by Conor McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Conor McBride, 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 Conor McBride Line = papers co-authored together Conor McBride links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007221
2 2004173
3 200269
4 200758
5 201656
6 201044
7 201135
8 201334
9 201333
10 200826
11 201625
12 201624
13 200324
14 200423
15 201023
16 202020
17
∂ for Data: Differentiating Data Structures
200418
18 201218
19
Ornamental Algebras, Algebraic Ornaments
201418
20 201516

About Conor McBride

Conor McBride is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Logic, programming, and type systems (40 papers), Logic, Reasoning, and Knowledge (19 papers), Parallel Computing and Optimization Techniques (13 papers), Software Engineering Research (9 papers), Formal Methods in Verification (9 papers), Advanced Database Systems and Queries (9 papers), Advanced Software Engineering Methodologies (5 papers) and Computability, Logic, AI Algorithms (5 papers). The work is most often cited by research in Computational Theory and Mathematics (546 citations), Artificial Intelligence (1.0k citations), Hardware and Architecture (215 citations), Software (111 citations) and Information Systems (239 citations). Conor McBride has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include Ross Paterson, James McKinna, Sam Lindley, Thorsten Altenkirch, James Chapman, Wouter Swierstra, Craig McLaughlin, Robert Atkey, Pierre-Évariste Dagand and Peter Morris. Their work appears in journals such as Journal of Functional Programming, ACM SIGPLAN Notices, Journal of Pediatric Orthopaedics, Journal of Automated Reasoning and Proceedings of the ACM on Programming Languages.

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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