Jay Rosen
Impact in
- Mathematical Physics top 0.5%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- advanced mathematical theories
- Finance top 1%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
Papers in
-
- Stochastic processes and statistical mechanics 76
- Mathematical Dynamics and Fractals 36
- Finance 50
- Stochastic processes and financial applications 47
- Co-authors
- Michael B. Marcus (37 shared papers)Richard S. Ellis (7 shared papers)Yuval Peres (8 shared papers)Amir Dembo (8 shared papers)Ofer Zeitouni (8 shared papers)Jean‐François Le Gall (2 shared papers)Joseph Horowitz (1 shared paper)Donald Geman (1 shared paper)
- Journals
- The Annals of Probability (35 papers)Electronic Journal of Probability (10 papers)Lecture notes in mathematics (8 papers)Stochastic Processes and their Applications (8 papers)Transactions of the American Mathematical Society (5 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Jay Rosen
114 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 87
- Mathematical Physics 1.4k
- Finance 837
- Statistics and Probability 375
- Condensed Matter Physics 246
- Applied Mathematics 210
Countries citing papers authored by Jay Rosen
This map shows the geographic impact of Jay Rosen'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 Jay Rosen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Rosen more than expected).
Fields of papers citing papers by Jay Rosen
This network shows the impact of papers produced by Jay Rosen. 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 Jay Rosen. The network helps show where Jay Rosen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Rosen, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 178 | |
| 2 | 2004 | 94 | |
| 3 | 1984 | 86 | |
| 4 | 1983 | 73 | |
| 5 | 1991 | 73 | |
| 6 | 1992 | 72 | |
| 7 | 2000 | 57 | |
| 8 | 2001 | 57 | |
| 9 | 1984 | 49 | |
| 10 | 1987 | 48 | |
| 11 | 1980 | 47 | |
| 12 | 1982 | 38 | |
| 13 | 1981 | 37 | |
| 14 | 1982 | 35 | |
| 15 | 2000 | 34 | |
| 16 | 1986 | 33 | |
| 17 | 1976 | 32 | |
| 18 | 1992 | 31 | |
| 19 | 1976 | 29 | |
| 20 | 1986 | 28 |
About Jay Rosen
Jay Rosen is a scholar working on Mathematical Physics, Finance, Statistics and Probability, Applied Mathematics and Condensed Matter Physics, having authored 126 papers that have together received 1.9k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (76 papers), Stochastic processes and financial applications (47 papers), Mathematical Dynamics and Fractals (36 papers), Markov Chains and Monte Carlo Methods (20 papers), Theoretical and Computational Physics (10 papers), Point processes and geometric inequalities (8 papers), Probability and Risk Models (8 papers) and Geometry and complex manifolds (8 papers). The work is most often cited by research in Mathematical Physics (1.4k citations), Finance (837 citations), Statistics and Probability (375 citations), Condensed Matter Physics (246 citations) and Applied Mathematics (210 citations). Jay Rosen has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Michael B. Marcus, Richard S. Ellis, Yuval Peres, Amir Dembo, Ofer Zeitouni, Jean‐François Le Gall, Joseph Horowitz, Donald Geman, Richard F. Bass and Charles M. Newman. Their work appears in journals such as The Annals of Probability, Electronic Journal of Probability, Lecture notes in mathematics, Stochastic Processes and their Applications and Transactions of the American Mathematical Society.
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.