Jacques Printems
Impact in
- Finance top 2%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Modeling and Simulation top 5%
Papers in
- Finance 21
- Stochastic processes and financial applications 21
- Financial Risk and Volatility Modeling 7
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- Advanced Mathematical Physics Problems 4
- Co-authors
- Gilles Pagès (13 shared papers)Arnaud Debussche (4 shared papers)V. Bally (3 shared papers)Huyên Pham (1 shared paper)Mihály Kovács (2 shared papers)Vlad Bally (2 shared papers)Emmanuel Gobet (2 shared papers)Nicolas Fournier (1 shared paper)
- Journals
- Mathematical Finance (2 papers)Mathematics of Computation (2 papers)SIAM Journal on Numerical Analysis (1 paper)Handbook of numerical analysis (1 paper)Stochastics and Dynamics (1 paper)
- Partner nations
- FranceNew Zealand
In The Last Decade
Jacques Printems
25 papers receiving 827 citations
Peers
Comparison fields: 5 of 57
- Finance 510
- Modeling and Simulation 80
- Numerical Analysis 94
- Mathematical Physics 154
- Statistical and Nonlinear Physics 179
Countries citing papers authored by Jacques Printems
This map shows the geographic impact of Jacques Printems'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 Jacques Printems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Printems more than expected).
Fields of papers citing papers by Jacques Printems
This network shows the impact of papers produced by Jacques Printems. 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 Jacques Printems. The network helps show where Jacques Printems may publish in the future.
Co-authors
The 10 scholars most cited alongside Jacques Printems, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 114 | |
| 2 | 1999 | 107 | |
| 3 | 2003 | 93 | |
| 4 | 2001 | 92 | |
| 5 | 2004 | 83 | |
| 6 | 2008 | 68 | |
| 7 | 2005 | 60 | |
| 8 | 1999 | 47 | |
| 9 | 2001 | 35 | |
| 10 | 2004 | 31 | |
| 11 | 2001 | 30 | |
| 12 | 2006 | 30 | |
| 13 | 2014 | 22 | |
| 14 | First-order schemes in the numerical quantization method | 2003 | 22 |
| 15 | 2001 | 17 | |
| 16 | 2013 | 14 | |
| 17 | 2003 | 12 | |
| 18 | 2006 | 11 | |
| 19 | 2009 | 7 | |
| 20 | 2005 | 7 |
About Jacques Printems
Jacques Printems is a scholar working on Finance, Mathematical Physics, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 25 papers that have together received 912 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (21 papers), Financial Risk and Volatility Modeling (7 papers), Advanced Mathematical Physics Problems (4 papers), Nonlinear Waves and Solitons (3 papers), Advanced Data Compression Techniques (3 papers), Statistical Methods and Inference (3 papers), Advanced Mathematical Modeling in Engineering (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Finance (510 citations), Modeling and Simulation (80 citations), Numerical Analysis (94 citations), Mathematical Physics (154 citations) and Statistical and Nonlinear Physics (179 citations). Jacques Printems has collaborated with scholars based in France and New Zealand. Frequent co-authors include Gilles Pagès, Arnaud Debussche, V. Bally, Huyên Pham, Mihály Kovács, Vlad Bally, Huyên Pham, Emmanuel Gobet, Huyên Pham and Nicolas Fournier. Their work appears in journals such as Mathematical Finance, Mathematics of Computation, SIAM Journal on Numerical Analysis, Handbook of numerical analysis and Stochastics and Dynamics.
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.