Jacques Printems

1.3k total citations
21 papers, 737 citations indexed

About

Jacques Printems is a scholar working on Finance, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jacques Printems has authored 21 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Finance, 7 papers in Mathematical Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jacques Printems's work include Stochastic processes and financial applications (17 papers), Advanced Mathematical Physics Problems (4 papers) and Financial Risk and Volatility Modeling (4 papers). Jacques Printems is often cited by papers focused on Stochastic processes and financial applications (17 papers), Advanced Mathematical Physics Problems (4 papers) and Financial Risk and Volatility Modeling (4 papers). Jacques Printems collaborates with scholars based in France and New Zealand. Jacques Printems's co-authors include Gilles Pagès, Arnaud Debussche, V. Bally, Mihály Kovács, Huyên Pham, Vlad Bally, Emmanuel Gobet, Huyên Pham and Nicolas Fournier and has published in prestigious journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.

In The Last Decade

Jacques Printems

21 papers receiving 669 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jacques Printems France 14 406 171 140 108 96 21 737
Huyên Pham France 21 807 2.0× 162 0.9× 79 0.6× 61 0.6× 85 0.9× 62 1.1k
Peter H. Baxendale United States 14 218 0.5× 195 1.1× 251 1.8× 112 1.0× 51 0.5× 29 828
Luciano Tubaro Italy 11 443 1.1× 51 0.3× 137 1.0× 185 1.7× 66 0.7× 33 625
Xavier Warin France 11 525 1.3× 163 1.0× 41 0.3× 54 0.5× 101 1.1× 37 781
Martin Hutzenthaler Germany 16 740 1.8× 197 1.2× 126 0.9× 125 1.2× 222 2.3× 40 1.1k
Sergey V. Lototsky United States 16 458 1.1× 109 0.6× 197 1.4× 287 2.7× 52 0.5× 48 996
S. R. Srinivasa Varadhan United States 2 582 1.4× 99 0.6× 365 2.6× 207 1.9× 63 0.7× 2 1.0k
J. G. Gaines United Kingdom 9 258 0.6× 63 0.4× 100 0.7× 80 0.7× 43 0.4× 11 438
Dirk Blömker Germany 18 230 0.6× 206 1.2× 124 0.9× 241 2.2× 156 1.6× 62 774
Nicolas Victoir United Kingdom 15 743 1.8× 51 0.3× 358 2.6× 205 1.9× 105 1.1× 19 1.0k

Countries citing papers authored by Jacques Printems

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jacques Printems

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Printems. A scholar is included among the top collaborators of Jacques Printems based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacques Printems. Jacques Printems is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gobet, Emmanuel, et al.. (2019). Volatility Uncertainty Quantification in a Stochastic Control Problem Applied to Energy. Methodology And Computing In Applied Probability. 22(1). 135–159. 2 indexed citations
2.
Kovács, Mihály & Jacques Printems. (2014). Strong order of convergence of a fully discrete approximation of a linear stochastic Volterra type evolution equation. Mathematics of Computation. 83(289). 2325–2346. 22 indexed citations
3.
Kovács, Mihály & Jacques Printems. (2013). Weak convergence of a fully discrete approximation of a linear stochastic evolution equation with a positive-type memory term. Journal of Mathematical Analysis and Applications. 413(2). 939–952. 14 indexed citations
4.
Fournier, Nicolas & Jacques Printems. (2011). Stability of the stochastic heat equation in $L^1([0,1])$. Electronic Communications in Probability. 16(none). 1 indexed citations
5.
Debussche, Arnaud & Jacques Printems. (2008). Weak order for the discretization of the stochastic heat equation. Mathematics of Computation. 78(266). 845–863. 65 indexed citations
6.
Gobet, Emmanuel, Gilles Pagès, Huyên Pham, & Jacques Printems. (2006). Discretization and Simulation of the Zakai Equation. SIAM Journal on Numerical Analysis. 44(6). 2505–2538. 27 indexed citations
7.
Debussche, Arnaud & Jacques Printems. (2006). Convergence of a semi-discrete scheme for the stochastic Korteweg-deVries equation. Discrete and Continuous Dynamical Systems - B. 6(4). 761–781. 10 indexed citations
8.
Bally, V., Gilles Pagès, & Jacques Printems. (2005). A QUANTIZATION TREE METHOD FOR PRICING AND HEDGING MULTIDIMENSIONAL AMERICAN OPTIONS. Mathematical Finance. 15(1). 119–168. 100 indexed citations
9.
Pagès, Gilles, Huyên Pham, & Jacques Printems. (2004). AN OPTIMAL MARKOVIAN QUANTIZATION ALGORITHM FOR MULTI-DIMENSIONAL STOCHASTIC CONTROL PROBLEMS. Stochastics and Dynamics. 4(4). 501–545. 29 indexed citations
10.
Bally, Vlad, Gilles Pagès, & Jacques Printems. (2004). A Quantization Tree Method for Pricing and Hedging Multidimensional American Options. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
11.
Pagès, Gilles & Jacques Printems. (2003). Optimal quadratic quantization for numerics: the Gaussian case. Monte Carlo Methods and Applications. 9(2). 135–165. 11 indexed citations
12.
Pagès, Gilles & Jacques Printems. (2003). Optimal quadratic quantization for numerics: the Gaussian case. Monte Carlo Methods and Applications. 9(2). 84 indexed citations
13.
Bally, V., Gilles Pagès, & Jacques Printems. (2003). First‐Order Schemes in the Numerical Quantization Method. Mathematical Finance. 13(1). 1–16. 2 indexed citations
14.
Printems, Jacques. (2001). On the discretization in time of parabolic stochastic partial differential equations. ESAIM Mathematical Modelling and Numerical Analysis. 35(6). 1055–1078. 86 indexed citations
15.
Debussche, Arnaud & Jacques Printems. (2001). Effect of a Localized Random Forcing Term on the Korteweg-De Vries Equation. 3(3). 183–206. 34 indexed citations
16.
Bally, Vlad, Gilles Pagès, & Jacques Printems. (2001). A stochastic quantization method for nonlinear problems. Monte Carlo Methods and Applications. 7(1-2). 21–34. 26 indexed citations
17.
Printems, Jacques. (2001). On the discretization in time of parabolic stochastic partial differential equations. Monte Carlo Methods and Applications. 7(3-4). 17 indexed citations
18.
Printems, Jacques. (1999). The Stochastic Korteweg–de Vries Equation inL2(R). Journal of Differential Equations. 153(2). 338–373. 47 indexed citations
19.
Debussche, Arnaud & Jacques Printems. (1999). Numerical simulation of the stochastic Korteweg–de Vries equation. Physica D Nonlinear Phenomena. 134(2). 200–226. 102 indexed citations
20.
Printems, Jacques. (1999). The Stochastic Kortewegde Vries Equation in L 2 (R). 1 indexed citations

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.

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