Donald A. Dawson
- Mathematical Physics top 0.2%
- Stochastic processes and statistical mechanics 80
- Mathematical Dynamics and Fractals 18
- advanced mathematical theories 16
- Finance top 0.5%
- Stochastic processes and financial applications 44
- Statistics and Probability top 0.5%
- Markov Chains and Monte Carlo Methods 22
- Condensed Matter Physics top 2%
- Theoretical and Computational Physics 30
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- Diffusion and Search Dynamics 13
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- Advanced Mathematical Modeling in Engineering 10
- Co-authors
- Klaus FleischmannEdwin PerkinsZenghu LiAndreas GrevenLuis G. GorostizaKenneth J. HochbergDavid SankoffJean Vaillancourt
- Journals
- Lecture notes in mathematics (2 papers)SIAM Review (1 paper)Transactions of the American Mathematical Society (5 papers)
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
Donald A. Dawson
117 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 98
- Mathematical Physics 1.6k
- Finance 1.1k
- Statistics and Probability 511
- Condensed Matter Physics 520
- Statistical and Nonlinear Physics 374
Countries citing papers authored by Donald A. Dawson
This map shows the geographic impact of Donald A. Dawson'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 Donald A. Dawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald A. Dawson more than expected).
Fields of papers citing papers by Donald A. Dawson
This network shows the impact of papers produced by Donald A. Dawson. 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 Donald A. Dawson. The network helps show where Donald A. Dawson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Donald A. Dawson, 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 | 2023 | 0 | |
| 2 | 2021 | 1 | |
| 3 | Stochastic equations, flows and measure-valued processes | 2012 | 86 |
| 4 | 2007 | 17 | |
| 5 | 2002 | 12 | |
| 6 | 1998 | 17 | |
| 7 | 1997 | 3 | |
| 8 | 1997 | 26 | |
| 9 | 1994 | 11 | |
| 10 | 1994 | 16 | |
| 11 | 1994 | 38 | |
| 12 | 1992 | 1 | |
| 13 | 1991 | 22 | |
| 14 | 1989 | 19 | |
| 15 | 1980 | 52 | |
| 16 | 1980 | 17 | |
| 17 | 1975 | 1 | |
| 18 | Lecture notes on discrete Markov systems | 1974 | 1 |
| 19 | 1968 | 3 | |
| 20 | 1967 | 106 |
About Donald A. Dawson
Donald A. Dawson is a scholar working on Mathematical Physics, Finance and Statistics and Probability, having authored 125 papers that have together received 2.5k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (80 papers), Stochastic processes and financial applications (44 papers), Theoretical and Computational Physics (30 papers), Markov Chains and Monte Carlo Methods (22 papers), Mathematical Dynamics and Fractals (18 papers), advanced mathematical theories (16 papers), Diffusion and Search Dynamics (13 papers) and Advanced Mathematical Modeling in Engineering (10 papers). The work is most often cited by research in Mathematical Physics (1.6k citations), Finance (1.1k citations) and Statistics and Probability (511 citations). Donald A. Dawson has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Klaus Fleischmann, Edwin Perkins, Zenghu Li, Andreas Greven, Luis G. Gorostiza, Kenneth J. Hochberg, David Sankoff, Jean Vaillancourt, Ian Iscoe and Shui Feng. Their work appears in journals such as Lecture notes in mathematics, SIAM Review and Transactions of the American Mathematical Society.
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.