John P. Mayberry
- Experimental and Cognitive Psychology top 10%
- Computational Theory and Mathematics top 5%
- History and Philosophy of Science top 2%
- Mathematical Physics top 10%
- Geometry and Topology top 5%
- Co-authors
- Michael HallettKunio MurasugiJohn F. NashMartín ShubikDonald GilliesHerbert E. ScarfEckhard MüllerJohn C. Harsanyi
- Topics
- Philosophy and Theoretical Science (5 papers)Computability, Logic, AI Algorithms (4 papers)History and Theory of Mathematics (3 papers)
- Partner nations
- United KingdomCanadaIndia
In The Last Decade
John P. Mayberry
21 papers receiving 242 citations
Peers
Comparison fields: 5 of 56
- Experimental and Cognitive Psychology 96
- Computational Theory and Mathematics 86
- History and Philosophy of Science 84
- Mathematical Physics 73
- Geometry and Topology 71
Countries citing papers authored by John P. Mayberry
This map shows the geographic impact of John P. Mayberry'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 P. Mayberry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Mayberry more than expected).
Fields of papers citing papers by John P. Mayberry
This network shows the impact of papers produced by John P. Mayberry. 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 P. Mayberry. The network helps show where John P. Mayberry may publish in the future.
Co-authorship network of co-authors of John P. Mayberry
This figure shows the co-authorship network connecting the top 25 collaborators of John P. Mayberry. A scholar is included among the top collaborators of John P. Mayberry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John P. Mayberry. John P. Mayberry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 18 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | Game-theoretic Models Of Cooperation And Conflict | 3 |
| 6 | 1 | |
| 7 | 4 | |
| 8 | A simple construction giving the two non-isomorphic triangle-free 3-colored K 16 's | 1 |
| 9 | 15 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 25 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 15 | |
| 18 | 11 | |
| 19 | Analysis of General-Purpose Force Procurement. | 2 |
| 20 | 28 |
About John P. Mayberry
John P. Mayberry is a scholar working on Theoretical Computer Science, History and Philosophy of Science and Architecture, having authored 22 papers that have together received 319 indexed citations. Recurring topics across this work include Philosophy and Theoretical Science (5 papers), Computability, Logic, AI Algorithms (4 papers) and History and Theory of Mathematics (3 papers). The work is most often cited by research in Theoretical Computer Science (67 citations), History and Philosophy of Science (84 citations) and Geometry and Topology (71 citations). John P. Mayberry has collaborated with scholars based in United Kingdom, Canada and India. Frequent co-authors include Michael Hallett, Kunio Murasugi, John F. Nash, Martín Shubik, Donald Gillies, Herbert E. Scarf, Eckhard Müller, John C. Harsanyi and Reinhard Selten. Their work appears in journals such as Proceedings of the National Academy of Sciences, Econometrica and Operations Research.
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.