Jean Vaillancourt

658 total citations
28 papers, 352 citations indexed

About

Jean Vaillancourt is a scholar working on Mathematical Physics, Finance and Artificial Intelligence. According to data from OpenAlex, Jean Vaillancourt has authored 28 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mathematical Physics, 7 papers in Finance and 7 papers in Artificial Intelligence. Recurrent topics in Jean Vaillancourt's work include Stochastic processes and statistical mechanics (11 papers), Stochastic processes and financial applications (7 papers) and Complex Network Analysis Techniques (4 papers). Jean Vaillancourt is often cited by papers focused on Stochastic processes and statistical mechanics (11 papers), Stochastic processes and financial applications (7 papers) and Complex Network Analysis Techniques (4 papers). Jean Vaillancourt collaborates with scholars based in Canada, Switzerland and United States. Jean Vaillancourt's co-authors include Djemel Ziou, Nizar Bouguila, Donald A. Dawson, Rokia Missaoui, Andreas Greven, Elsa Negre, Sarifuddin Madenda, Bruno Rémillard, Byron Schmuland and Langis Gagnon and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Jean Vaillancourt

23 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Vaillancourt Canada 8 122 98 66 59 47 28 352
R. M. Shortt United States 8 92 0.8× 50 0.5× 89 1.3× 17 0.3× 6 0.1× 36 449
Luca Nenna France 4 70 0.6× 65 0.7× 30 0.5× 27 0.5× 6 0.1× 10 364
Matthew A. Nunes United Kingdom 9 181 1.5× 44 0.4× 18 0.3× 20 0.3× 18 0.4× 27 450
Adolfo J. Quiróz Venezuela 11 151 1.2× 80 0.8× 8 0.1× 36 0.6× 12 0.3× 37 435
Oleg Lepski France 13 187 1.5× 162 1.7× 27 0.4× 98 1.7× 22 0.5× 28 696
O. V. Lepskii 4 99 0.8× 94 1.0× 63 1.0× 65 1.1× 16 0.3× 8 446
Vincent Rivoirard France 12 114 0.9× 32 0.3× 24 0.4× 31 0.5× 7 0.1× 30 372
S. Mohammad Hosseini Iran 8 35 0.3× 51 0.5× 32 0.5× 44 0.7× 9 0.2× 24 277
J. D. P. Meldrum United Kingdom 10 92 0.8× 41 0.4× 35 0.5× 30 0.5× 3 0.1× 52 753
Wei‐Liem Loh Singapore 12 115 0.9× 20 0.2× 49 0.7× 59 1.0× 2 0.0× 25 487

Countries citing papers authored by Jean Vaillancourt

Since Specialization
Citations

This map shows the geographic impact of Jean Vaillancourt'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 Jean Vaillancourt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Vaillancourt more than expected).

Fields of papers citing papers by Jean Vaillancourt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean Vaillancourt. 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 Jean Vaillancourt. The network helps show where Jean Vaillancourt may publish in the future.

Co-authorship network of co-authors of Jean Vaillancourt

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Vaillancourt. A scholar is included among the top collaborators of Jean Vaillancourt 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 Jean Vaillancourt. Jean Vaillancourt 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.
Rémillard, Bruno & Jean Vaillancourt. (2024). Central limit theorems for martingales-I: Continuous limits. Electronic Journal of Probability. 29(none).
2.
Dawson, Donald A., Jean Vaillancourt, & Hao Wang. (2023). Tanaka Formula and Local Time for a Class of Interacting Branching Measure-valued Diffusions. Acta Mathematica Sinica English Series. 40(4). 1059–1098.
3.
Dawson, Donald A., et al.. (2021). Joint Hölder continuity of local time for a class of interacting branching measure-valued diffusions. Stochastic Processes and their Applications. 138. 212–233. 1 indexed citations
4.
Missaoui, Rokia, et al.. (2020). Cross-Face Centrality: A New Measure for Identifying Key Nodes in Networks Based on Formal Concept Analysis. IEEE Access. 8. 206901–206913. 6 indexed citations
5.
Ziou, Djemel, et al.. (2014). An Algorithm for Determination of the Number of Modes for pdf Estimation of multi-modal Histograms. 1 indexed citations
6.
Razavi, Amir H., et al.. (2014). Modeling and predicting cascading removal phenomenon over social networks. Social Network Analysis and Mining. 4(1). 1 indexed citations
7.
Rémillard, Bruno & Jean Vaillancourt. (2013). On signed measure valued solutions of stochastic evolution equations. Stochastic Processes and their Applications. 124(1). 101–122. 3 indexed citations
8.
Negre, Elsa, Rokia Missaoui, & Jean Vaillancourt. (2011). Predicting a Social Network Structure Once a Node Is Deleted. 39. 297–304. 9 indexed citations
9.
Feng, Shui, Byron Schmuland, Jean Vaillancourt, & Xiaowen Zhou. (2010). Reversibility of Interacting Fleming–Viot Processes with Mutation, Selection, and Recombination. Canadian Journal of Mathematics. 63(1). 104–122. 4 indexed citations
10.
Missaoui, Rokia, et al.. (2010). Restrictions on Concept Lattices for Pattern Management. ARBOR - Bern University of Applied Sciences Repository. 235–246. 6 indexed citations
11.
Missaoui, Rokia, Sarifuddin Madenda, & Jean Vaillancourt. (2005). Similarity measures for efficient content-based image retrieval. IEE Proceedings - Vision Image and Signal Processing. 152(6). 875–875. 12 indexed citations
12.
Bouguila, Nizar, Djemel Ziou, & Jean Vaillancourt. (2004). Unsupervised Learning of a Finite Mixture Model Based on the Dirichlet Distribution and Its Application. IEEE Transactions on Image Processing. 13(11). 1533–1543. 134 indexed citations
13.
Ziou, Djemel, et al.. (2003). Spatial database updating using active contours for multispectral images: application with Landsat 7. ISPRS Journal of Photogrammetry and Remote Sensing. 57(5-6). 346–355. 3 indexed citations
14.
Ziou, Djemel, et al.. (2003). Road vectors update using SAR imagery: a snake-based method. IEEE Transactions on Geoscience and Remote Sensing. 41(8). 1785–1803. 50 indexed citations
15.
Wang, Shengrui, et al.. (1999). Estimation of multi-modal histogram's pdf using a mixture model.. 7. 103–118. 7 indexed citations
16.
Dawson, Donald A., Andreas Greven, & Jean Vaillancourt. (1995). Equilibria and Quasi-Equilibria for Infinite Collections of Interacting Fleming-Viot Processes. Transactions of the American Mathematical Society. 347(7). 2277–2277. 24 indexed citations
17.
Dawson, Donald A. & Jean Vaillancourt. (1995). Stochastic McKean-Vlasov equations. Nonlinear Differential Equations and Applications NoDEA. 2(2). 199–229. 42 indexed citations
18.
Vaillancourt, Jean. (1990). On the scaling theorem for interacting Fleming-Viot processes. Stochastic Processes and their Applications. 36(2). 263–267. 1 indexed citations
19.
Vaillancourt, Jean. (1990). Interacting Fleming-Viot processes. Stochastic Processes and their Applications. 36(1). 45–57. 6 indexed citations
20.
Vaillancourt, Jean. (1955). Attitude de l’écrivain devant la traduction. Érudit (Université de Montréal). 1(1). 14–14.

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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