Paul Dupuis
Impact in
- Finance top 0.5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Mathematical Physics top 0.5%
- Stochastic processes and statistical mechanics
Papers in
-
- Markov Chains and Monte Carlo Methods 28
- Finance 45
- Stochastic processes and financial applications 42
- Co-authors
- Harold J. KushnerRichard S. EllisHitoshi IshiiAmarjit BudhirajaHui WangJames LynchAnna NagurneyKavita Ramanan
- Journals
- The Annals of Probability (11 papers)SIAM Journal on Control and Optimization (8 papers)Stochastic Processes and their Applications (7 papers)The Annals of Applied Probability (6 papers)Queueing Systems (6 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Paul Dupuis
111 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 127
- Finance 1.8k
- Mathematical Physics 964
- Statistics and Probability 814
- Management Information Systems 869
- Management Science and Operations Research 1.1k
Countries citing papers authored by Paul Dupuis
This map shows the geographic impact of Paul Dupuis'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 Paul Dupuis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Dupuis more than expected).
Fields of papers citing papers by Paul Dupuis
This network shows the impact of papers produced by Paul Dupuis. 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 Paul Dupuis. The network helps show where Paul Dupuis may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Dupuis, 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 | 2021 | 11 | |
| 2 | 2019 | 16 | |
| 3 | 2017 | 3 | |
| 4 | 2013 | 1 | |
| 5 | 2012 | 77 | |
| 6 | 2012 | 32 | |
| 7 | 2012 | 35 | |
| 8 | 2008 | 54 | |
| 9 | 2007 | 1 | |
| 10 | Subsolutions of an Isaacs Equation and Efficient Schemes for Importance Sampling: Convergence Analysis | 2005 | 2 |
| 11 | 2002 | 23 | |
| 12 | 2001 | 42 | |
| 13 | 1999 | 25 | |
| 14 | 1999 | 70 | |
| 15 | 1997 | 408 | |
| 16 | 1996 | 8 | |
| 17 | 1993 | 277 | |
| 18 | 1990 | 25 | |
| 19 | 1989 | 19 | |
| 20 | 1985 | 16 |
About Paul Dupuis
Paul Dupuis is a scholar working on Statistics and Probability, Finance, Mathematical Physics, Management Science and Operations Research and Management Information Systems, having authored 113 papers that have together received 5.3k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (42 papers), Markov Chains and Monte Carlo Methods (28 papers), Stochastic processes and statistical mechanics (19 papers), Advanced Queuing Theory Analysis (16 papers), Probability and Risk Models (16 papers), Advanced Mathematical Modeling in Engineering (11 papers), Simulation Techniques and Applications (7 papers) and Theoretical and Computational Physics (6 papers). The work is most often cited by research in Finance (1.8k citations), Mathematical Physics (964 citations), Statistics and Probability (814 citations), Management Information Systems (869 citations) and Management Science and Operations Research (1.1k citations). Paul Dupuis has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Harold J. Kushner, Richard S. Ellis, Hitoshi Ishii, Amarjit Budhiraja, Hui Wang, James Lynch, Anna Nagurney, Kavita Ramanan, M. R. James and Ulf Grenander. Their work appears in journals such as The Annals of Probability, SIAM Journal on Control and Optimization, Stochastic Processes and their Applications, The Annals of Applied Probability and Queueing Systems.
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.