John Longley
Impact in
-
- Computability, Logic, AI Algorithms
- Formal Methods in Verification
- Advanced Algebra and Logic
- Artificial Intelligence top 10%
- Logic, programming, and type systems
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
Papers in
-
- Formal Methods in Verification 10
- Computability, Logic, AI Algorithms 6
-
- Logic, programming, and type systems 15
- Logic, Reasoning, and Knowledge 12
- Co-authors
- Dag Normann (1 shared paper)Alex Simpson (1 shared paper)Gordon Plotkin (1 shared paper)Michael Fourman (1 shared paper)Sam Lindley (1 shared paper)
- Journals
- Mathematical Structures in Computer Science (3 papers)Logical Methods in Computer Science (2 papers)Journal of Automated Reasoning (1 paper)Journal of Functional Programming (1 paper)ACM SIGPLAN Notices (1 paper)
- Partner nations
- United KingdomNorway
In The Last Decade
John Longley
16 papers receiving 141 citations
Peers
Comparison fields: 5 of 19
- Computational Theory and Mathematics 125
- Artificial Intelligence 145
- Hardware and Architecture 16
- Mathematical Physics 18
- Software 7
Countries citing papers authored by John Longley
This map shows the geographic impact of John Longley'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 John Longley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Longley more than expected).
Fields of papers citing papers by John Longley
This network shows the impact of papers produced by John Longley. 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 John Longley. The network helps show where John Longley may publish in the future.
Co-authors
The 5 scholars most cited alongside John Longley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 29 | |
| 2 | 2015 | 28 | |
| 3 | 1997 | 26 | |
| 4 | 1999 | 26 | |
| 5 | 1999 | 14 | |
| 6 | 2007 | 8 | |
| 7 | 1997 | 7 | |
| 8 | Logical Full Abstraction and PCF | 2000 | 6 |
| 9 | 2004 | 4 | |
| 10 | 2024 | 2 | |
| 11 | 2000 | 2 | |
| 12 | 2009 | 2 | |
| 13 | 2018 | 1 | |
| 14 | 1999 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2016 | 1 |
About John Longley
John Longley is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Hardware and Architecture, Infectious Diseases and Organic Chemistry, having authored 16 papers that have together received 158 indexed citations. Recurring topics across this work include Logic, programming, and type systems (15 papers), Logic, Reasoning, and Knowledge (12 papers), Formal Methods in Verification (10 papers), Computability, Logic, AI Algorithms (6 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Computational Theory and Mathematics (125 citations), Artificial Intelligence (145 citations), Hardware and Architecture (16 citations), Mathematical Physics (18 citations) and Software (7 citations). John Longley has collaborated with scholars based in United Kingdom and Norway. Frequent co-authors include Dag Normann, Alex Simpson, Gordon Plotkin, Michael Fourman and Sam Lindley. Their work appears in journals such as Mathematical Structures in Computer Science, Logical Methods in Computer Science, Journal of Automated Reasoning, Journal of Functional Programming and ACM SIGPLAN Notices.
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.