A. D. Barbour
Impact in
- Statistics and Probability top 0.1%
- Random Matrices and Applications
- Markov Chains and Monte Carlo Methods
- Statistical Distribution Estimation and Applications
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- Advanced Combinatorial Mathematics
Papers in
-
- Random Matrices and Applications 44
- Markov Chains and Monte Carlo Methods 13
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- Stochastic processes and statistical mechanics 57
- Co-authors
- Sidney I. Resnick (1 shared paper)Lars Holst (3 shared papers)Simon Tavaré (13 shared papers)Richard Arratia (12 shared papers)Louis H. Y. Chen (3 shared papers)Peter A. Hall (2 shared papers)G. K. Eagleson (9 shared papers)Aihua Xia (13 shared papers)
- Journals
- Advances in Applied Probability (31 papers)Journal of Applied Probability (16 papers)The Annals of Applied Probability (9 papers)The Annals of Probability (8 papers)Stochastic Processes and their Applications (6 papers)
- Partner nations
- SwitzerlandAustraliaUnited States
In The Last Decade
A. D. Barbour
148 papers receiving 3.6k citations
A. D. Barbour's Hit Papers
Peers
Comparison fields: 5 of 148
- Statistics and Probability 1.7k
- Discrete Mathematics and Combinatorics 509
- Mathematical Physics 1.4k
- Applied Mathematics 686
- Management Science and Operations Research 612
Countries citing papers authored by A. D. Barbour
This map shows the geographic impact of A. D. Barbour'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 A. D. Barbour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. D. Barbour more than expected).
Fields of papers citing papers by A. D. Barbour
This network shows the impact of papers produced by A. D. Barbour. 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 A. D. Barbour. The network helps show where A. D. Barbour may publish in the future.
Co-authors
The 25 scholars most cited alongside A. D. Barbour, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Poisson Approximation Hit paper breakdown → | 1992 | 561 |
| 2 | 1993 | 414 | |
| 3 | Logarithmic Combinatorial Structures: A Probabilistic Approach Hit paper breakdown → | 2003 | 253 |
| 4 | 1984 | 181 | |
| 5 | 1992 | 118 | |
| 6 | 1990 | 109 | |
| 7 | 1992 | 92 | |
| 8 | 1988 | 89 | |
| 9 | 1992 | 76 | |
| 10 | 1989 | 75 | |
| 11 | 2005 | 75 | |
| 12 | 1983 | 63 | |
| 13 | 2001 | 61 | |
| 14 | 1996 | 60 | |
| 15 | 1975 | 58 | |
| 16 | 1982 | 57 | |
| 17 | 2005 | 54 | |
| 18 | 2002 | 51 | |
| 19 | 1987 | 51 | |
| 20 | 1984 | 46 |
About A. D. Barbour
A. D. Barbour is a scholar working on Statistics and Probability, Mathematical Physics, Artificial Intelligence, Applied Mathematics and Discrete Mathematics and Combinatorics, having authored 155 papers that have together received 4.0k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (57 papers), Random Matrices and Applications (44 papers), Bayesian Methods and Mixture Models (35 papers), Point processes and geometric inequalities (18 papers), Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Advanced Combinatorial Mathematics (14 papers), Probability and Risk Models (13 papers) and Markov Chains and Monte Carlo Methods (13 papers). The work is most often cited by research in Statistics and Probability (1.7k citations), Discrete Mathematics and Combinatorics (509 citations), Mathematical Physics (1.4k citations), Applied Mathematics (686 citations) and Management Science and Operations Research (612 citations). A. D. Barbour has collaborated with scholars based in Switzerland, Australia and United States. Frequent co-authors include Sidney I. Resnick, Lars Holst, Simon Tavaré, Richard Arratia, Louis H. Y. Chen, Peter A. Hall, G. K. Eagleson, Aihua Xia, Timothy C. Brown and Ourania Chryssaphinou. Their work appears in journals such as Advances in Applied Probability, Journal of Applied Probability, The Annals of Applied Probability, The Annals of Probability and Stochastic Processes and their Applications.
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.