Dan Crisan
Impact in
- Finance top 1%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Statistics and Probability top 1%
Papers in
- Finance 38
- Stochastic processes and financial applications 37
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- Target Tracking and Data Fusion in Sensor Networks 25
- Bayesian Methods and Mixture Models 9
- Co-authors
- Arnaud Doucet (2 shared papers)Alan Bain (1 shared paper)Terry Lyons (6 shared papers)Darryl D. Holm (14 shared papers)Ajay Jasra (10 shared papers)Alexandros Beskos (8 shared papers)B. L. Rozovskiĭ (1 shared paper)François Delarue (4 shared papers)
- Journals
- Advances in Applied Probability (8 papers)Stochastic Partial Differential Equations Analysis and Computations (5 papers)Stochastic Processes and their Applications (4 papers)The Annals of Applied Probability (4 papers)Probability Theory and Related Fields (4 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Dan Crisan
95 papers receiving 2.4k citations
Dan Crisan's Hit Papers
Peers
Comparison fields: 5 of 109
- Finance 769
- Statistics and Probability 289
- Artificial Intelligence 1.1k
- Modeling and Simulation 106
- Mathematical Physics 190
Countries citing papers authored by Dan Crisan
This map shows the geographic impact of Dan Crisan'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 Dan Crisan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Crisan more than expected).
Fields of papers citing papers by Dan Crisan
This network shows the impact of papers produced by Dan Crisan. 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 Dan Crisan. The network helps show where Dan Crisan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Crisan, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey of convergence results on particle filtering methods for practitioners Hit paper breakdown → | 2002 | 634 |
| 2 | 2008 | 343 | |
| 3 | 2014 | 91 | |
| 4 | The Oxford Handbook of Nonlinear Filtering | 2011 | 90 |
| 5 | 2012 | 57 | |
| 6 | 2018 | 57 | |
| 7 | 2009 | 56 | |
| 8 | 2019 | 53 | |
| 9 | 1998 | 53 | |
| 10 | 2014 | 52 | |
| 11 | 1999 | 51 | |
| 12 | 1997 | 48 | |
| 13 | 2018 | 47 | |
| 14 | 2017 | 41 | |
| 15 | 2014 | 40 | |
| 16 | 2017 | 39 | |
| 17 | Convergence of Sequential Monte Carlo Methods | 2007 | 34 |
| 18 | 2010 | 32 | |
| 19 | RUNGE–KUTTA SCHEMES FOR BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS | 2016 | 31 |
| 20 | 2013 | 30 |
About Dan Crisan
Dan Crisan is a scholar working on Finance, Artificial Intelligence, Mathematical Physics, Computational Mechanics and Statistics and Probability, having authored 101 papers that have together received 2.5k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (37 papers), Target Tracking and Data Fusion in Sensor Networks (25 papers), Fluid Dynamics and Turbulent Flows (13 papers), Stochastic processes and statistical mechanics (12 papers), Meteorological Phenomena and Simulations (12 papers), Markov Chains and Monte Carlo Methods (9 papers), Bayesian Methods and Mixture Models (9 papers) and Navier-Stokes equation solutions (8 papers). The work is most often cited by research in Finance (769 citations), Statistics and Probability (289 citations), Artificial Intelligence (1.1k citations), Modeling and Simulation (106 citations) and Mathematical Physics (190 citations). Dan Crisan has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Arnaud Doucet, Alan Bain, Terry Lyons, Darryl D. Holm, Ajay Jasra, Alexandros Beskos, B. L. Rozovskiĭ, François Delarue, Joaquı́n Mı́guez and Jie Xiong. Their work appears in journals such as Advances in Applied Probability, Stochastic Partial Differential Equations Analysis and Computations, Stochastic Processes and their Applications, The Annals of Applied Probability 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.