David Pym

2.8k citations
139 papers · 2.0k · h-index 21

Impact in

Papers in

David Pym

125 papers receiving 1.9k citations

Peers

David Pym
Comparison fields: 5 of 76
  • Computational Theory and Mathematics 850
  • Artificial Intelligence 1.4k
  • Software 103
  • Computer Networks and Communications 531
  • Information Systems 509
Replace Ron van der Meyden with:
Ron van der Meyden Australia
Gerardo Schneider Sweden
William H. Winsborough United States
Marcello Bonsangue Netherlands
Fritz Henglein Denmark
Daniel Le Métayer France
Marco Schaerf Italy
Paul Tarau United States
Pasquale Malacaria United Kingdom
Stefan Szeider Austria
David Pym relative to Ron van der Meyden Australia Ron van der Meyden's profile →
Citations per field
00.5×9.1×
Ron van der Meyden · 1×
Citations per year

Countries citing papers authored by David Pym

Since Specialization
Citations

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

Fields of papers citing papers by David Pym

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999349
2 2002158
3 2003115
4 201092
5 200573
6 199459
7 200859
8 200941
9 201140
10 200639
11 199637
12 201036
13 201631
14 201728
15
A Discipline of Mathematical Systems Modelling
201226
16 200926
17 200924
18
The Uniform Proof-Theoretic Foundation of Linear Logic Programming
199123
19 200321
20 201021

About David Pym

David Pym is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Sociology and Political Science, having authored 139 papers that have together received 2.0k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (68 papers), Logic, programming, and type systems (67 papers), Information and Cyber Security (34 papers), Formal Methods in Verification (31 papers), Network Security and Intrusion Detection (18 papers), Distributed systems and fault tolerance (16 papers), Semantic Web and Ontologies (14 papers) and Advanced Algebra and Logic (12 papers). The work is most often cited by research in Computational Theory and Mathematics (850 citations), Artificial Intelligence (1.4k citations), Software (103 citations), Computer Networks and Communications (531 citations) and Information Systems (509 citations). David Pym has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Peter W. O’Hearn, James Harland, Christos Ioannidis, Julian Williams, Hongseok Yang, Didier Galmiche, Chris Tofts, Tyler M. Moore, Brian Monahan and Tristan Caulfield. Their work appears in journals such as Journal of Logic and Computation, Studia Logica, Theoretical Computer Science, Mathematical Structures in Computer Science and Journal of Cybersecurity.

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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