Magdalena Kobylanski

994 total citations
11 papers, 521 citations indexed

About

Magdalena Kobylanski is a scholar working on Finance, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Magdalena Kobylanski has authored 11 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Finance, 4 papers in Mathematical Physics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Magdalena Kobylanski's work include Stochastic processes and financial applications (6 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Nonlinear Partial Differential Equations (2 papers). Magdalena Kobylanski is often cited by papers focused on Stochastic processes and financial applications (6 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Nonlinear Partial Differential Equations (2 papers). Magdalena Kobylanski collaborates with scholars based in France. Magdalena Kobylanski's co-authors include Marie-Claire Quenez, Guy Barles, Guillaume Lecué, Bernard Host, Evgeny Abakumov, Nathaël Gozlan, Pascal Romon, Matthieu Fradelizi, Mathieu Meyer and Miguel Escobedo and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, The Annals of Probability and Applied Mathematics & Optimization.

In The Last Decade

Magdalena Kobylanski

9 papers receiving 490 citations

Peers

Magdalena Kobylanski

FINAN

MSOR

DEMOG

AM

EE

Anis Matoussi France

Khaled Bahlali France

Fabio Antonelli Italy

Jin Ma United States

Lijun Bo China

Philippe Briand France

Youssef Ouknine Morocco

Jean Mémin France

François Coquet France

Lucreţiu Stoica France

Anis Matoussi France

Magdalena Kobylanski

421 ×0.9

FINAN

86 ×0.7

MSOR

92 ×0.8

DEMOG

127 ×1.1

AM

74 ×0.7

EE

Citations per year, relative to Magdalena Kobylanski Magdalena Kobylanski (= 1×) peers Anis Matoussi

Countries citing papers authored by Magdalena Kobylanski

Since Specialization

Citations

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

Fields of papers citing papers by Magdalena Kobylanski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalena Kobylanski

This figure shows the co-authorship network connecting the top 25 collaborators of Magdalena Kobylanski. A scholar is included among the top collaborators of Magdalena Kobylanski 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 Magdalena Kobylanski. Magdalena Kobylanski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Kobylanski, Magdalena, et al.. (2020). Designing an Editorialization Environment for Repeatable Self-Correcting Exercises. 14(10). 937–945. 1 indexed citations

2.

Kobylanski, Magdalena, et al.. (2015). A Piecewise Deterministic Markov Toy Model for Traffic/Maintenance and Associated Hamilton–Jacobi Integrodifferential Systems on Networks. Applied Mathematics & Optimization. 74(2). 375–421.

3.

Kobylanski, Magdalena, et al.. (2013). Dynkin games in a general framework. Stochastics. 86(2). 304–329. 13 indexed citations

4.

Kobylanski, Magdalena. (2013). Large Deviations Principle by viscosity solutions: The case of diffusions with oblique Lipschitz reflections. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 49(1). 2 indexed citations

5.

Abakumov, Evgeny, Anne Beaulieu, F. Blanchard, et al.. (2012). The logarithmic Sobolev constant of the lamplighter. Journal of Mathematical Analysis and Applications. 399(2). 576–585. 1 indexed citations

6.

Kobylanski, Magdalena & Marie-Claire Quenez. (2012). Optimal stopping time problem in a general framework. Electronic Journal of Probability. 17(none). 26 indexed citations

7.

Kobylanski, Magdalena, et al.. (2009). Optimal double stopping time problem. Comptes Rendus Mathématique. 348(1-2). 65–69. 1 indexed citations

8.

Kobylanski, Magdalena. (2000). Backward stochastic differential equations and partial differential equations with quadratic growth. The Annals of Probability. 28(2). 431 indexed citations

9.

Barles, Guy, et al.. (1999). Remarks on the maximum principle for nonlinear elliptic PDEs with quadratic growth conditions. French digital mathematics library (Numdam). 28(3). 381–404. 23 indexed citations

10.

Kobylanski, Magdalena. (1997). Résultats d'existence et d'unicité pour des équations différentielles stochastiques rétrogrades avec des générateurs à croissance quadratique. Comptes Rendus de l Académie des Sciences - Series I - Mathematics. 324(1). 81–86. 23 indexed citations

11.

Kobylanski, Magdalena. (1997). Résultats d'existence et d'unicité pour des équations différentielles stochastiques rétrogrades avec des générateurs à croissance quadratique. Comptes Rendus de l Académie des Sciences - Series I - Mathematics. 324. 81–86.

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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