Pao–Liu Chow
- Finance top 2%
- Stochastic processes and financial applications 16
- Mathematical Physics top 5%
- Numerical methods in inverse problems 4
- Advanced Mathematical Physics Problems 3
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- Advanced Mathematical Modeling in Engineering 9
- Modeling and Simulation top 5%
- Applied Mathematics top 5%
- Navier-Stokes equation solutions 2
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- Stability and Controllability of Differential Equations 10
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- Insurance, Mortality, Demography, Risk Management 3
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- Probabilistic and Robust Engineering Design 2
- Co-authors
- José‐Luis MenaldiMaurice RobinR. Z. Khas’minskiĭKai LiuJürgen PotthoffИ. А. ИбрагимовAnnika LangJoseph B. Keller
- Journals
- SIAM Review (1 paper)Journal of Differential Equations (1 paper)Journal of Mathematical Physics (3 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Pao–Liu Chow
28 papers receiving 702 citations
Peers
Comparison fields: 5 of 58
- Finance 431
- Mathematical Physics 176
- Computational Theory and Mathematics 292
- Modeling and Simulation 85
- Applied Mathematics 169
Countries citing papers authored by Pao–Liu Chow
This map shows the geographic impact of Pao–Liu Chow'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 Pao–Liu Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pao–Liu Chow more than expected).
Fields of papers citing papers by Pao–Liu Chow
This network shows the impact of papers produced by Pao–Liu Chow. 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 Pao–Liu Chow. The network helps show where Pao–Liu Chow may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Pao–Liu Chow, 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 | 2014 | 40 | |
| 2 | 2012 | 11 | |
| 3 | 2012 | 4 | |
| 4 | 2010 | 34 | |
| 5 | 2010 | 14 | |
| 6 | Almost sure convergence of a semidiscrete Milstein scheme for SPDE's of Zakai type | 2009 | 2 |
| 7 | 2008 | 13 | |
| 8 | 2007 | 0 | |
| 9 | 2007 | 274 | |
| 10 | 2002 | 68 | |
| 11 | 1997 | 11 | |
| 12 | 1996 | 3 | |
| 13 | 1989 | 13 | |
| 14 | 1984 | 2 | |
| 15 | 1976 | 13 | |
| 16 | 1975 | 21 | |
| 17 | 1974 | 7 | |
| 18 | 1973 | 5 | |
| 19 | 1972 | 10 | |
| 20 | 1972 | 18 |
About Pao–Liu Chow
Pao–Liu Chow is a scholar working on Finance, Mathematical Physics and Acoustics and Ultrasonics, having authored 30 papers that have together received 804 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (16 papers), Stability and Controllability of Differential Equations (10 papers), Advanced Mathematical Modeling in Engineering (9 papers), Numerical methods in inverse problems (4 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Advanced Mathematical Physics Problems (3 papers), Navier-Stokes equation solutions (2 papers) and Probabilistic and Robust Engineering Design (2 papers). The work is most often cited by research in Finance (431 citations), Mathematical Physics (176 citations) and Computational Theory and Mathematics (292 citations). Pao–Liu Chow has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include José‐Luis Menaldi, Maurice Robin, R. Z. Khas’minskiĭ, Kai Liu, Jürgen Potthoff, И. А. Ибрагимов, Annika Lang, Joseph B. Keller, Boris S. Mordukhovich and George Yin. Their work appears in journals such as SIAM Review, Journal of Differential Equations and Journal of Mathematical Physics.
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.