John McKay
Impact in
- Ecological Modeling top 0.5%
- Species Distribution and Climate Change
- Nature and Landscape Conservation top 0.5%
- Ecology and Vegetation Dynamics Studies
Papers in
- Co-authors
- Scott P. CarrollDavid N. ReznickCameron K. GhalamborRobert G. LattaJames H. RichardsKevin J. RiceW. Chris FunkPaul A. Hohenlohe
- Journals
- Mathematics of Computation (14 papers)Communications of the ACM (11 papers)Molecular Ecology (8 papers)Bulletin of the London Mathematical Society (5 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
John McKay
171 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Ecological Modeling 890
- Nature and Landscape Conservation 2.2k
- Ecology, Evolution, Behavior and Systematics 3.2k
- Genetics 3.9k
- Discrete Mathematics and Combinatorics 352
Countries citing papers authored by John McKay
This map shows the geographic impact of John McKay'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 McKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John McKay more than expected).
Fields of papers citing papers by John McKay
This network shows the impact of papers produced by John McKay. 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 McKay. The network helps show where John McKay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John McKay, 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 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 14 | |
| 7 | 2019 | 17 | |
| 8 | Cusps, Congruence Groups and Monstrous Dessins | 2018 | 0 |
| 9 | 2017 | 124 | |
| 10 | 2013 | 132 | |
| 11 | 2013 | 104 | |
| 12 | 2012 | 167 | |
| 13 | 2005 | 139 | |
| 14 | Genetic population divergence: markers and traits.: markers and traits. | 2002 | 1 |
| 15 | 1994 | 6 | |
| 16 | El modelo de desarrollo | 1992 | 4 |
| 17 | 1976 | 2 | |
| 18 | 1970 | 6 | |
| 19 | 1970 | 5 | |
| 20 | 1967 | 13 |
About John McKay
John McKay is a scholar working on Discrete Mathematics and Combinatorics, Theoretical Computer Science, Algebra and Number Theory, Geometry and Topology and Mathematical Physics, having authored 177 papers that have together received 11.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (27 papers), Genetic diversity and population structure (22 papers), Plant Molecular Biology Research (15 papers), Coding theory and cryptography (14 papers), Plant Stress Responses and Tolerance (14 papers), Ecology and Vegetation Dynamics Studies (13 papers), graph theory and CDMA systems (13 papers) and Advanced Algebra and Geometry (12 papers). The work is most often cited by research in Ecological Modeling (890 citations), Nature and Landscape Conservation (2.2k citations), Ecology, Evolution, Behavior and Systematics (3.2k citations), Genetics (3.9k citations) and Discrete Mathematics and Combinatorics (352 citations). John McKay has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Scott P. Carroll, David N. Reznick, Cameron K. Ghalambor, Robert G. Latta, James H. Richards, Kevin J. Rice, W. Chris Funk, Paul A. Hohenlohe, Fred W. Allendorf and Thomas Juenger. Their work appears in journals such as Mathematics of Computation, Communications of the ACM, Molecular Ecology, Bulletin of the London Mathematical Society and Proceedings of the National Academy of Sciences.
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.