John E. 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
- Advanced Algebra and Logic 2
- Complexity and Algorithms in Graphs 2
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- Logic, programming, and type systems 4
- Logic, Reasoning, and Knowledge 3
- Quantum Computing Algorithms and Architecture 1
- Co-authors
- Alfred Tarski (2 shared papers)Wilfrid Hodges (2 shared papers)Ronald V. Book (1 shared paper)Charles A. Akemann (1 shared paper)
- Journals
- Journal of Symbolic Logic (2 papers)Journal of Computer and System Sciences (1 paper)Journal of the ACM (1 paper)Bulletin of the London Mathematical Society (1 paper)Fundamenta Mathematicae (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
John E. Doner
9 papers receiving 404 citations
Peers
Comparison fields: 5 of 39
- Computational Theory and Mathematics 372
- Artificial Intelligence 319
- Theoretical Computer Science 6
- Software 16
- Discrete Mathematics and Combinatorics 12
Countries citing papers authored by John E. Doner
This map shows the geographic impact of John E. 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 E. 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 E. Doner more than expected).
Fields of papers citing papers by John E. Doner
This network shows the impact of papers produced by John E. 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 E. Doner. The network helps show where John E. Doner may publish in the future.
Co-authors
The 4 scholars most cited alongside John E. 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 | 381 | |
| 2 | Applications of recursive operators to randomness and complexity | 1998 | 29 |
| 3 | 1978 | 20 | |
| 4 | 1969 | 19 | |
| 5 | 1983 | 8 | |
| 6 | 1988 | 7 | |
| 7 | Definability in the extended arithmetic of ordinal numbers | 1972 | 5 |
| 8 | 1979 | 4 | |
| 9 | 1988 | 3 |
About John E. Doner
John E. Doner is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Statistics and Probability, Algebra and Number Theory and Insect Science, having authored 9 papers that have together received 476 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), Advanced Algebra and Logic (2 papers), Benford’s Law and Fraud Detection (2 papers), Complexity and Algorithms in Graphs (2 papers), Rings, Modules, and Algebras (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Computational Theory and Mathematics (372 citations), Artificial Intelligence (319 citations), Theoretical Computer Science (6 citations), Software (16 citations) and Discrete Mathematics and Combinatorics (12 citations). John E. Doner has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Alfred Tarski, Wilfrid Hodges, Ronald V. Book and Charles A. Akemann. Their work appears in journals such as Journal of Symbolic Logic, Journal of Computer and System Sciences, Journal of the ACM, Bulletin of the London Mathematical Society 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.