J. Michael Steele
- Statistics and Probability top 5%
- Random Matrices and Applications 7
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics 8
- Finance top 5%
- Stochastic processes and financial applications 4
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- Computational Geometry and Mesh Generation 3
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- Bayesian Methods and Mixture Models 8
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- Data Management and Algorithms 4
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- Optimization and Search Problems 3
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- Probability and Risk Models 3
- Co-authors
- David AldousRichard D. De VeauxPersi DiaconisSid BrowneJoseph GlazLawrence A. SheppMartin KulldorffNassif Ghoussoub
- Journals
- Journal of Applied Probability (3 papers)Stochastic Processes and their Applications (2 papers)Advances in Applied Probability (2 papers)
- Partner nations
- United StatesEcuadorCanada
In The Last Decade
J. Michael Steele
30 papers receiving 450 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 118
- Mathematical Physics 105
- Discrete Mathematics and Combinatorics 36
- Finance 102
- Computer Graphics and Computer-Aided Design 18
Countries citing papers authored by J. Michael Steele
This map shows the geographic impact of J. Michael Steele'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 J. Michael Steele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Michael Steele more than expected).
Fields of papers citing papers by J. Michael Steele
This network shows the impact of papers produced by J. Michael Steele. 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 J. Michael Steele. The network helps show where J. Michael Steele may publish in the future.
Co-authorship network
The 17 scholars most cited alongside J. Michael Steele, 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 | 2025 | 1 | |
| 2 | 2017 | 4 | |
| 3 | 2016 | 2 | |
| 4 | 2016 | 3 | |
| 5 | 2015 | 7 | |
| 6 | 2014 | 7 | |
| 7 | 2011 | 9 | |
| 8 | 2011 | 7 | |
| 9 | 2005 | 1 | |
| 10 | 2005 | 13 | |
| 11 | 2003 | 7 | |
| 12 | 2002 | 6 | |
| 13 | 1995 | 44 | |
| 14 | 1994 | 12 | |
| 15 | 1993 | 1 | |
| 16 | 1993 | 8 | |
| 17 | 1990 | 50 | |
| 18 | 1989 | 21 | |
| 19 | 1979 | 1 | |
| 20 | 1977 | 3 |
About J. Michael Steele
J. Michael Steele is a scholar working on Mathematical Physics, Statistics and Probability, Computer Graphics and Computer-Aided Design, Finance and Management Science and Operations Research, having authored 32 papers that have together received 513 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (8 papers), Stochastic processes and statistical mechanics (8 papers), Random Matrices and Applications (7 papers), Stochastic processes and financial applications (4 papers), Data Management and Algorithms (4 papers), Optimization and Search Problems (3 papers), Computational Geometry and Mesh Generation (3 papers) and Probability and Risk Models (3 papers). The work is most often cited by research in Statistics and Probability (118 citations), Mathematical Physics (105 citations), Discrete Mathematics and Combinatorics (36 citations), Finance (102 citations) and Computer Graphics and Computer-Aided Design (18 citations). J. Michael Steele has collaborated with scholars based in United States, Ecuador and Canada. Frequent co-authors include David Aldous, Richard D. De Veaux, Persi Diaconis, Sid Browne, Joseph Glaz, Lawrence A. Shepp, Martin Kulldorff, Nassif Ghoussoub, Robert W. Chen and Noah Gans. Their work appears in journals such as Journal of Applied Probability, Stochastic Processes and their Applications, Advances in Applied Probability, The Annals of Probability and Mathematics of Operations Research.
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.