Mark Brown
Impact in
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications
- Markov Chains and Monte Carlo Methods
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- Reliability and Maintenance Optimization
Papers in
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- Statistical Distribution Estimation and Applications 15
- Statistical Methods and Inference 8
- Random Matrices and Applications 8
- Markov Chains and Monte Carlo Methods 7
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- Probability and Risk Models 15
- Co-authors
- Frank Proschan (2 shared papers)Herbert Solomon (6 shared papers)Sheldon M. Ross (14 shared papers)David Aldous (2 shared papers)N. Rao Chaganty (1 shared paper)Michael A. Stephens (2 shared papers)Erol A. Peköz (6 shared papers)J. George Shanthikumar (1 shared paper)
- Journals
- Journal of Applied Probability (17 papers)Probability in the Engineering and Informational Sciences (12 papers)The Annals of Probability (6 papers)Stochastic Processes and their Applications (4 papers)Advances in Applied Probability (4 papers)
- Partner nations
- United StatesHong KongCanada
In The Last Decade
Mark Brown
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Statistics and Probability 863
- Safety, Risk, Reliability and Quality 660
- Software 303
- Statistics, Probability and Uncertainty 276
- Management Science and Operations Research 392
Countries citing papers authored by Mark Brown
This map shows the geographic impact of Mark Brown'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 Mark Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Brown more than expected).
Fields of papers citing papers by Mark Brown
This network shows the impact of papers produced by Mark Brown. 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 Mark Brown. The network helps show where Mark Brown may publish in the future.
Co-authors
The 23 scholars most cited alongside Mark Brown, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 474 | |
| 2 | 1980 | 122 | |
| 3 | 1990 | 76 | |
| 4 | 1983 | 60 | |
| 5 | 1981 | 57 | |
| 6 | 1983 | 53 | |
| 7 | 1975 | 49 | |
| 8 | 1993 | 42 | |
| 9 | 1972 | 39 | |
| 10 | 1969 | 38 | |
| 11 | 1983 | 37 | |
| 12 | 1987 | 32 | |
| 13 | 1992 | 31 | |
| 14 | 1973 | 30 | |
| 15 | 1981 | 27 | |
| 16 | 1973 | 26 | |
| 17 | 1970 | 24 | |
| 18 | 1971 | 23 | |
| 19 | The First Passage Time Distribution for a Parallel Exponential System with Repair. | 1974 | 21 |
| 20 | 1984 | 17 |
About Mark Brown
Mark Brown is a scholar working on Statistics and Probability, Management Science and Operations Research, Mathematical Physics, Finance and Statistics, Probability and Uncertainty, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (15 papers), Probability and Risk Models (15 papers), Stochastic processes and statistical mechanics (14 papers), Stochastic processes and financial applications (9 papers), Statistical Methods and Inference (8 papers), Random Matrices and Applications (8 papers), Advanced Queuing Theory Analysis (7 papers) and Markov Chains and Monte Carlo Methods (7 papers). The work is most often cited by research in Statistics and Probability (863 citations), Safety, Risk, Reliability and Quality (660 citations), Software (303 citations), Statistics, Probability and Uncertainty (276 citations) and Management Science and Operations Research (392 citations). Mark Brown has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Frank Proschan, Herbert Solomon, Sheldon M. Ross, David Aldous, N. Rao Chaganty, Michael A. Stephens, Erol A. Peköz, J. George Shanthikumar, Joel E. Cohen and Víctor Peña. Their work appears in journals such as Journal of Applied Probability, Probability in the Engineering and Informational Sciences, The Annals of Probability, Stochastic Processes and their Applications and Advances in Applied Probability.
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.