Steven Orey

2.6k citations
66 papers · 1.9k · h-index 24

Impact in

Papers in

    • Stochastic processes and statistical mechanics 9
    • Mathematical Dynamics and Fractals 7
    • Stochastic processes and financial applications 12

Steven Orey

62 papers receiving 1.5k citations

Peers

Steven Orey
Comparison fields: 5 of 112
  • Mathematical Physics 837
  • Statistics and Probability 468
  • Finance 457
  • Management Science and Operations Research 298
  • Applied Mathematics 219
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Citations per field
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Citations per year

Countries citing papers authored by Steven Orey

Since Specialization
Citations

This map shows the geographic impact of Steven Orey'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 Steven Orey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Orey more than expected).

Fields of papers citing papers by Steven Orey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Orey. 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 Steven Orey. The network helps show where Steven Orey may publish in the future.

Co-authors

The 24 scholars most cited alongside Steven Orey, 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 Steven Orey Line = papers co-authored together Steven Orey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983187
2 1973128
3
Lecture Notes on Limit Theorems for Markov Chain Transition Probabilities
1971126
4 1970116
5 196591
6 195888
7 197987
8 197686
9 197479
10 195978
11 198876
12 196862
13 198754
14 199150
15 196743
16 196142
17 196135
18 195632
19 198829
20 198629

About Steven Orey

Steven Orey is a scholar working on Mathematical Physics, Finance, Computational Theory and Mathematics, Statistics and Probability and Management Science and Operations Research, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (12 papers), Stochastic processes and statistical mechanics (9 papers), Markov Chains and Monte Carlo Methods (7 papers), Mathematical Dynamics and Fractals (7 papers), Probability and Risk Models (6 papers), Advanced Algebra and Logic (5 papers), Logic, Reasoning, and Knowledge (5 papers) and Advanced Mathematical Modeling in Engineering (4 papers). The work is most often cited by research in Mathematical Physics (837 citations), Statistics and Probability (468 citations), Finance (457 citations), Management Science and Operations Research (298 citations) and Applied Mathematics (219 citations). Steven Orey has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Heinz Bauer, William E. Pruitt, Benton Jamison, Michel Loève, Robert F. Anderson, Samuel J. Taylor, Hans Föllmer, Nishesh Jain, William D. Sudderth and Naresh C. Jain. Their work appears in journals such as Transactions of the American Mathematical Society, Journal of Symbolic Logic, Journal of the American Statistical Association, Proceedings of the American Mathematical Society and Probability Theory and Related Fields.

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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