François Dufour
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 21
- Reinforcement Learning in Robotics 15
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- Fault Detection and Control Systems 14
- Advanced Control Systems Optimization 13
- Co-authors
- O.L.V. Costa (32 shared papers)Robert J. Elliott (13 shared papers)Tomás Prieto-Rumeau (11 shared papers)Boris Miller (4 shared papers)P. Bertrand (7 shared papers)Alexey Piunovskiy (8 shared papers)M. Mariton (1 shared paper)Benoîte de Saporta (10 shared papers)
In The Last Decade
François Dufour
118 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Finance 236
- Statistics and Probability 180
- Control and Systems Engineering 398
- Management Science and Operations Research 188
- Management, Monitoring, Policy and Law 131
Countries citing papers authored by François Dufour
This map shows the geographic impact of François Dufour'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 François Dufour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Dufour more than expected).
Fields of papers citing papers by François Dufour
This network shows the impact of papers produced by François Dufour. 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 François Dufour. The network helps show where François Dufour may publish in the future.
Co-authors
The 25 scholars most cited alongside François Dufour, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 56 | |
| 2 | 2008 | 53 | |
| 3 | 1998 | 45 | |
| 4 | 2011 | 45 | |
| 5 | 1996 | 45 | |
| 6 | 2004 | 38 | |
| 7 | 1996 | 36 | |
| 8 | 1999 | 35 | |
| 9 | 1994 | 34 | |
| 10 | 2010 | 31 | |
| 11 | 2013 | 30 | |
| 12 | 2001 | 29 | |
| 13 | 1999 | 26 | |
| 14 | State and mode estimation for discrete-time jump Markov systems | 2005 | 23 |
| 15 | 2005 | 23 | |
| 16 | 2013 | 23 | |
| 17 | 2008 | 22 | |
| 18 | 2004 | 22 | |
| 19 | 2006 | 22 | |
| 20 | 2011 | 21 |
About François Dufour
François Dufour is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistics and Probability, Finance and Management Science and Operations Research, having authored 128 papers that have together received 1.3k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (30 papers), Stochastic processes and financial applications (27 papers), Target Tracking and Data Fusion in Sensor Networks (21 papers), Reinforcement Learning in Robotics (15 papers), Fault Detection and Control Systems (14 papers), Advanced Queuing Theory Analysis (13 papers), Advanced Control Systems Optimization (13 papers) and Risk and Portfolio Optimization (12 papers). The work is most often cited by research in Finance (236 citations), Statistics and Probability (180 citations), Control and Systems Engineering (398 citations), Management Science and Operations Research (188 citations) and Management, Monitoring, Policy and Law (131 citations). François Dufour has collaborated with scholars based in France, Brazil and Canada. Frequent co-authors include O.L.V. Costa, Robert J. Elliott, Tomás Prieto-Rumeau, Boris Miller, P. Bertrand, Alexey Piunovskiy, M. Mariton, Benoîte de Saporta, P. Bertrand and David D. Sworder. Their work appears in journals such as SIAM Journal on Control and Optimization, Applied Mathematics & Optimization, Advances in Applied Probability, Journal of Applied Probability and Journal of Mathematical Analysis and Applications.
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.