Patrick S. Hagan
Impact in
-
- stochastic dynamics and bifurcation
- Nonlinear Photonic Systems
- Advanced Thermodynamics and Statistical Mechanics
- Finance top 2%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
Papers in
- Finance 19
- Stochastic processes and financial applications 19
- Financial Risk and Volatility Modeling 9
- Credit Risk and Financial Regulations 4
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- Advanced Thermodynamics and Statistical Mechanics 6
- stochastic dynamics and bifurcation 5
- Co-authors
- Diana E. WoodwardCharles R. DoeringC. David LevermoreA. MazorDavid J. SrolovitzM. HerskowitzAlan S. PerelsonCatherine A. Macken
- Journals
- SIAM Journal on Applied Mathematics (12 papers)Applied Mathematical Finance (5 papers)Physical Review Letters (4 papers)AIChE Journal (3 papers)Mathematical Biosciences (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Patrick S. Hagan
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Statistical and Nonlinear Physics 380
- Finance 266
- Computer Networks and Communications 380
- Numerical Analysis 54
- Modeling and Simulation 46
Countries citing papers authored by Patrick S. Hagan
This map shows the geographic impact of Patrick S. Hagan'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 Patrick S. Hagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick S. Hagan more than expected).
Fields of papers citing papers by Patrick S. Hagan
This network shows the impact of papers produced by Patrick S. Hagan. 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 Patrick S. Hagan. The network helps show where Patrick S. Hagan may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick S. Hagan, 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 | 2023 | 3 | |
| 2 | 2020 | 5 | |
| 3 | 2019 | 2 | |
| 4 | 2019 | 3 | |
| 5 | 2018 | 4 | |
| 6 | 2015 | 1 | |
| 7 | 1998 | 16 | |
| 8 | Electron nonlocality in semiconductors | 1996 | 2 |
| 9 | 1991 | 9 | |
| 10 | 1989 | 28 | |
| 11 | 1989 | 12 | |
| 12 | 1988 | 1 | |
| 13 | 1987 | 5 | |
| 14 | 1987 | 58 | |
| 15 | 1985 | 5 | |
| 16 | 1985 | 5 | |
| 17 | 1982 | 296 | |
| 18 | 1981 | 54 | |
| 19 | 1981 | 22 | |
| 20 | 1981 | 23 |
About Patrick S. Hagan
Patrick S. Hagan is a scholar working on Finance, Statistical and Nonlinear Physics, Mathematical Physics, Modeling and Simulation and Applied Mathematics, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (19 papers), Financial Risk and Volatility Modeling (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), stochastic dynamics and bifurcation (5 papers), Stochastic processes and statistical mechanics (5 papers) and Credit Risk and Financial Regulations (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (380 citations), Finance (266 citations), Computer Networks and Communications (380 citations), Numerical Analysis (54 citations) and Modeling and Simulation (46 citations). Patrick S. Hagan has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Diana E. Woodward, Charles R. Doering, C. David Levermore, A. Mazor, David J. Srolovitz, M. Herskowitz, Alan S. Perelson, Catherine A. Macken, Colin P. Please and Donald W. Schwendeman. Their work appears in journals such as SIAM Journal on Applied Mathematics, Applied Mathematical Finance, Physical Review Letters, AIChE Journal and Mathematical Biosciences.
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.