Mark Brown

1.9k citations
58 papers · 1.3k indexed · h-index 18

Mark Brown

54 papers receiving 1.2k citations

Peers

Mark Brown
Comparison fields: 5 of 91
  • Statistics and Probability 763
  • Software 283
  • Safety, Risk, Reliability and Quality 595
  • Statistics, Probability and Uncertainty 236
  • Management Science and Operations Research 348
Replace Thomas H. Savits with:
Thomas H. Savits United States
Henry W. Block United States
J. D. Esary United States
Jayaram Sethuraman United States
Erwin Straub Switzerland
James Lynch United States
Majid Asadi Iran
Austin J. Lemoine United States
Fabio Spizzichino Italy
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Citations per field
00.5×1.5×
Thomas H. Savits · 1×
Citations per year

Countries citing papers authored by Mark Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Mark Brown Line = papers co-authored together Mark Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20202
2 20161
3 20152
4 20152
5 20145
6 201011
7 20081
8 20089
9 199815
10 19972
11 199340
12 199072
13 19853
14 198414
15 198349
16 198124
17 197546
18 19742
19 197239
20 197010

About Mark Brown

Mark Brown is a scholar working on Statistics and Probability, Mathematical Physics, Finance, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Probability and Risk Models (12 papers), Statistical Distribution Estimation and Applications (12 papers), Stochastic processes and statistical mechanics (11 papers), Stochastic processes and financial applications (9 papers), Random Matrices and Applications (8 papers), Reliability and Maintenance Optimization (7 papers), Statistical Methods and Inference (7 papers) and Advanced Queuing Theory Analysis (7 papers). The work is most often cited by research in Statistics and Probability (763 citations), Software (283 citations), Safety, Risk, Reliability and Quality (595 citations), Statistics, Probability and Uncertainty (236 citations) and Management Science and Operations Research (348 citations). Mark Brown has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Frank Proschan, Sheldon M. Ross, Herbert Solomon, N. Rao Chaganty, David Aldous, 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.

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