R. McVinish
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
Papers in
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- Statistical Methods and Inference 4
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- Stochastic processes and statistical mechanics 9
- Co-authors
- Vo Anh (7 shared papers)Kerrie Mengersen (9 shared papers)R. J. G. Lester (3 shared papers)P. K. Pollett (11 shared papers)Judith Rousseau (4 shared papers)Grant Hamilton (1 shared paper)A. N. Pettitt (1 shared paper)Martin Skitmore (1 shared paper)
In The Last Decade
R. McVinish
31 papers receiving 335 citations
Peers
Comparison fields: 5 of 79
- Modeling and Simulation 68
- Statistics and Probability 59
- Applied Mathematics 61
- Mathematical Physics 48
- Finance 46
Countries citing papers authored by R. McVinish
This map shows the geographic impact of R. McVinish'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 R. McVinish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. McVinish more than expected).
Fields of papers citing papers by R. McVinish
This network shows the impact of papers produced by R. McVinish. 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 R. McVinish. The network helps show where R. McVinish may publish in the future.
Co-authors
The 20 scholars most cited alongside R. McVinish, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 52 | |
| 2 | 2009 | 32 | |
| 3 | 2007 | 29 | |
| 4 | 2016 | 27 | |
| 5 | 2008 | 24 | |
| 6 | 2001 | 22 | |
| 7 | 2020 | 21 | |
| 8 | 2005 | 18 | |
| 9 | 2008 | 13 | |
| 10 | Bayesian Model Comparison: Review and Discussion | 2005 | 12 |
| 11 | 2010 | 12 | |
| 12 | 2008 | 11 | |
| 13 | 2012 | 8 | |
| 14 | 2004 | 8 | |
| 15 | Completely monotone property of fractional Green functions | 2003 | 7 |
| 16 | 2010 | 7 | |
| 17 | 2011 | 6 | |
| 18 | 2012 | 6 | |
| 19 | 2013 | 5 | |
| 20 | 2005 | 5 |
About R. McVinish
R. McVinish is a scholar working on Statistics and Probability, Mathematical Physics, Artificial Intelligence, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 33 papers that have together received 344 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (9 papers), Bayesian Methods and Mixture Models (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Evolution and Genetic Dynamics (5 papers), Fractional Differential Equations Solutions (5 papers), Nonlinear Differential Equations Analysis (4 papers), Statistical Methods and Inference (4 papers) and Stochastic processes and financial applications (4 papers). The work is most often cited by research in Modeling and Simulation (68 citations), Statistics and Probability (59 citations), Applied Mathematics (61 citations), Mathematical Physics (48 citations) and Finance (46 citations). R. McVinish has collaborated with scholars based in Australia, France and Spain. Frequent co-authors include Vo Anh, Kerrie Mengersen, R. J. G. Lester, P. K. Pollett, Judith Rousseau, Grant Hamilton, A. N. Pettitt, Martin Skitmore, Nikolai Leonenko and M. D. Ruiz‐Medina. Their work appears in journals such as Advances in Applied Probability, Journal of Applied Probability, Computational Statistics & Data Analysis, Mathematical Biosciences and Journal of Mathematical Biology.
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.