David Pym

2.6k citations
95 papers · 1.2k indexed · h-index 16

Impact in

Papers in

David Pym

85 papers receiving 1.1k citations

Peers

David Pym
Comparison fields: 5 of 68
  • Computational Theory and Mathematics 498
  • Artificial Intelligence 834
  • Software 65
  • Computer Networks and Communications 339
  • Information Systems 273
Replace Gian-Luigi Ferrari with:
Gian-Luigi Ferrari Italy
Андрей Воронков United Kingdom
Bill Roscoe United Kingdom
Giuseppe Castagna France
Radha Jagadeesan United States
Marco Schaerf Italy
Marcello Bonsangue Netherlands
Rodney Topor Australia
Frank S. de Boer Netherlands
Thomas Schwentick Germany
David Pym relative to Gian-Luigi Ferrari Italy Gian-Luigi Ferrari's profile →
Citations per field
00.5×3.5×
Gian-Luigi Ferrari · 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 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999249
2 2002115
3 200389
4 200555
5 199442
6 201133
7 200632
8 200931
9 201029
10 201625
11 201725
12 200922
13 201318
14 201017
15 200716
16 200316
17 200315
18 200514
19
A Discipline of Mathematical Systems Modelling
201214
20 201014

About David Pym

David Pym is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Information Systems and Sociology and Political Science, having authored 95 papers that have together received 1.2k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (48 papers), Logic, programming, and type systems (45 papers), Information and Cyber Security (24 papers), Formal Methods in Verification (20 papers), Distributed systems and fault tolerance (13 papers), Network Security and Intrusion Detection (13 papers), Advanced Algebra and Logic (10 papers) and Semantic Web and Ontologies (10 papers). The work is most often cited by research in Computational Theory and Mathematics (498 citations), Artificial Intelligence (834 citations), Software (65 citations), Computer Networks and Communications (339 citations) and Information Systems (273 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, Hongseok Yang, Chris Tofts, Didier Galmiche, Julian Williams, Christos Ioannidis, Dominique Méry, Brian Monahan and Eike Ritter. Their work appears in journals such as Journal of Logic and Computation, Studia Logica, Theoretical Computer Science, Mathematical Structures in Computer Science and Formal Aspects of Computing.

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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