G. A. Watterson
Impact in
- Genetics top 0.2%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
Papers in
-
- Stochastic processes and statistical mechanics 18
- Genetics 46
- Evolution and Genetic Dynamics 40
- Genetic diversity and population structure 17
- Genetic Mapping and Diversity in Plants and Animals 11
- Genetic Associations and Epidemiology 6
- Co-authors
- H. A. GuessIan SaundersSimon TavaréT. E. HallWarren J. EwensAndreï S. MorganP. A. P. MoranF. V. Atkinson
- Journals
- Theoretical Population Biology (16 papers)Advances in Applied Probability (11 papers)Journal of Applied Probability (8 papers)Genetics (5 papers)Genetics Research (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
G. A. Watterson
59 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Genetics 3.6k
- Mathematical Physics 436
- Ecology, Evolution, Behavior and Systematics 723
- Ecological Modeling 138
- Plant Science 1.2k
Countries citing papers authored by G. A. Watterson
This map shows the geographic impact of G. A. Watterson'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 G. A. Watterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. A. Watterson more than expected).
Fields of papers citing papers by G. A. Watterson
This network shows the impact of papers produced by G. A. Watterson. 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 G. A. Watterson. The network helps show where G. A. Watterson may publish in the future.
Co-authors
The 17 scholars most cited alongside G. A. Watterson, 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 | 1996 | 18 | |
| 2 | 1993 | 2 | |
| 3 | 1992 | 3 | |
| 4 | 1992 | 2 | |
| 5 | 1990 | 9 | |
| 6 | 1989 | 8 | |
| 7 | 1989 | 12 | |
| 8 | 1987 | 8 | |
| 9 | 1985 | 32 | |
| 10 | 1984 | 81 | |
| 11 | 1984 | 10 | |
| 12 | 1979 | 6 | |
| 13 | 1976 | 122 | |
| 14 | 1976 | 26 | |
| 15 | 1974 | 20 | |
| 16 | 1973 | 1 | |
| 17 | 1970 | 16 | |
| 18 | 1969 | 18 | |
| 19 | 1962 | 53 | |
| 20 | 1959 | 19 |
About G. A. Watterson
G. A. Watterson is a scholar working on Mathematical Physics, Genetics, Artificial Intelligence, Statistics and Probability and Ecology, Evolution, Behavior and Systematics, having authored 61 papers that have together received 5.6k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (40 papers), Stochastic processes and statistical mechanics (18 papers), Genetic diversity and population structure (17 papers), Bayesian Methods and Mixture Models (16 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Gene expression and cancer classification (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers) and Genetic Associations and Epidemiology (6 papers). The work is most often cited by research in Genetics (3.6k citations), Mathematical Physics (436 citations), Ecology, Evolution, Behavior and Systematics (723 citations), Ecological Modeling (138 citations) and Plant Science (1.2k citations). G. A. Watterson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include H. A. Guess, Ian Saunders, Simon Tavaré, T. E. Hall, Warren J. Ewens, Andreï S. Morgan, P. A. P. Moran, F. V. Atkinson, Andrew Chia and Robert Griffiths. Their work appears in journals such as Theoretical Population Biology, Advances in Applied Probability, Journal of Applied Probability, Genetics and Genetics 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.