John Doner
Impact in
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- semigroups and automata theory
- Formal Methods in Verification
- Advanced Algebra and Logic
- Computability, Logic, AI Algorithms
- Artificial Intelligence top 5%
- Logic, programming, and type systems
- Algorithms and Data Compression
- Natural Language Processing Techniques
- Logic, Reasoning, and Knowledge
Papers in
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- Computability, Logic, AI Algorithms 6
- Complexity and Algorithms in Graphs 2
- Advanced Algebra and Logic 2
- Numerical Methods and Algorithms 1
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- Logic, programming, and type systems 4
- Logic, Reasoning, and Knowledge 3
- Co-authors
- Alfred Tarski (2 shared papers)Wilfrid Hodges (2 shared papers)Charles A. Akemann (1 shared paper)Ronald V. Book (1 shared paper)
- Journals
- Journal of Symbolic Logic (2 papers)Journal of the ACM (1 paper)Bulletin of the London Mathematical Society (1 paper)Journal of Computer and System Sciences (1 paper)Fundamenta Mathematicae (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
John Doner
9 papers receiving 392 citations
Peers
Comparison fields: 5 of 39
- Computational Theory and Mathematics 361
- Artificial Intelligence 315
- Theoretical Computer Science 6
- Software 16
- Geometry and Topology 28
Countries citing papers authored by John Doner
This map shows the geographic impact of John Doner'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 Doner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Doner more than expected).
Fields of papers citing papers by John Doner
This network shows the impact of papers produced by John Doner. 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 Doner. The network helps show where John Doner may publish in the future.
Co-authors
The 4 scholars most cited alongside John Doner, 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 | 1970 | 378 | |
| 2 | Applications of recursive operators to randomness and complexity | 1998 | 26 |
| 3 | 1978 | 21 | |
| 4 | 1969 | 16 | |
| 5 | 1988 | 7 | |
| 6 | 1983 | 7 | |
| 7 | Definability in the extended arithmetic of ordinal numbers | 1972 | 5 |
| 8 | 1988 | 3 | |
| 9 | 1979 | 3 |
About John Doner
John Doner is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Statistics and Probability, Algebra and Number Theory and Infectious Diseases, having authored 9 papers that have together received 466 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (6 papers), Logic, programming, and type systems (4 papers), Logic, Reasoning, and Knowledge (3 papers), Complexity and Algorithms in Graphs (2 papers), Advanced Algebra and Logic (2 papers), Benford’s Law and Fraud Detection (2 papers), Numerical Methods and Algorithms (1 paper) and Rings, Modules, and Algebras (1 paper). The work is most often cited by research in Computational Theory and Mathematics (361 citations), Artificial Intelligence (315 citations), Theoretical Computer Science (6 citations), Software (16 citations) and Geometry and Topology (28 citations). John Doner has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Alfred Tarski, Wilfrid Hodges, Charles A. Akemann and Ronald V. Book. Their work appears in journals such as Journal of Symbolic Logic, Journal of the ACM, Bulletin of the London Mathematical Society, Journal of Computer and System Sciences and Fundamenta Mathematicae.
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.