Ian Saunders
Impact in
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Gene expression and cancer classification 4
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- Stochastic processes and statistical mechanics 8
- Co-authors
- Sethu Vijayakumar (3 shared papers)P. A. P. Moran (2 shared papers)Simon Tavaré (2 shared papers)Peter A. Lane (1 shared paper)G. A. Watterson (2 shared papers)Rosamund F. Langston (1 shared paper)Emma R. Wood (1 shared paper)Claire Wilson (1 shared paper)
- Journals
- Journal of Applied Probability (6 papers)Advances in Applied Probability (4 papers)International Journal of Mineral Processing (3 papers)Journal of the American Statistical Association (3 papers)Biometrika (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Ian Saunders
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 156
- Statistics and Probability 136
- Modeling and Simulation 66
- Cognitive Neuroscience 171
- Management Information Systems 65
- Genetics 193
Countries citing papers authored by Ian Saunders
This map shows the geographic impact of Ian Saunders'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 Ian Saunders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Saunders more than expected).
Fields of papers citing papers by Ian Saunders
This network shows the impact of papers produced by Ian Saunders. 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 Ian Saunders. The network helps show where Ian Saunders may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Saunders, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 157 | |
| 2 | 1983 | 121 | |
| 3 | 2010 | 117 | |
| 4 | 2011 | 86 | |
| 5 | 2012 | 82 | |
| 6 | 1984 | 81 | |
| 7 | 1978 | 55 | |
| 8 | 2007 | 50 | |
| 9 | 1980 | 36 | |
| 10 | 1991 | 26 | |
| 11 | 2018 | 26 | |
| 12 | 1992 | 25 | |
| 13 | 1981 | 24 | |
| 14 | 1992 | 20 | |
| 15 | 1983 | 20 | |
| 16 | 1983 | 20 | |
| 17 | 1994 | 18 | |
| 18 | 1989 | 15 | |
| 19 | 1980 | 14 | |
| 20 | 1976 | 14 |
About Ian Saunders
Ian Saunders is a scholar working on Molecular Biology, Mathematical Physics, Artificial Intelligence, Genetics and Statistics and Probability, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (8 papers), Bayesian Methods and Mixture Models (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Gene expression and cancer classification (4 papers), Optimal Experimental Design Methods (4 papers), Quality and Supply Management (4 papers), Genetic Associations and Epidemiology (3 papers) and Advanced Statistical Process Monitoring (3 papers). The work is most often cited by research in Statistics and Probability (136 citations), Modeling and Simulation (66 citations), Cognitive Neuroscience (171 citations), Management Information Systems (65 citations) and Genetics (193 citations). Ian Saunders has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Sethu Vijayakumar, P. A. P. Moran, Simon Tavaré, Peter A. Lane, G. A. Watterson, Rosamund F. Langston, Emma R. Wood, Claire Wilson, J. Gani and Jesper Brohede. Their work appears in journals such as Journal of Applied Probability, Advances in Applied Probability, International Journal of Mineral Processing, Journal of the American Statistical Association and Biometrika.
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.