Magdalena Kobylanski
- Finance top 2%
- Management Science and Operations Research top 5%
- Demography top 5%
- Applied Mathematics top 5%
- Economics and Econometrics top 10%
- Co-authors
- Marie-Claire QuenezGuy BarlesGuillaume LecuéBernard HostEvgeny AbakumovNathaël GozlanPascal RomonMatthieu Fradelizi
- Topics
- Stochastic processes and financial applications (6 papers)Advanced Mathematical Modeling in Engineering (4 papers)Nonlinear Partial Differential Equations (2 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsThe Annals of ProbabilityApplied Mathematics & Optimization
- Partner nations
- France
In The Last Decade
Magdalena Kobylanski
9 papers receiving 490 citations
Peers
Comparison fields: 5 of 36
- Finance 470
- Management Science and Operations Research 126
- Demography 118
- Applied Mathematics 113
- Economics and Econometrics 112
Countries citing papers authored by Magdalena Kobylanski
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | Designing an Editorialization Environment for Repeatable Self-Correcting Exercises | 1 |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 26 | |
| 7 | 1 | |
| 8 | 431 | |
| 9 | Remarks on the maximum principle for nonlinear elliptic PDEs with quadratic growth conditions | 23 |
| 10 | 23 | |
| 11 | 0 |
About Magdalena Kobylanski
Magdalena Kobylanski is a scholar working on Finance, Mathematical Physics and Computational Theory and Mathematics, having authored 11 papers that have together received 521 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (6 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Nonlinear Partial Differential Equations (2 papers). The work is most often cited by research in Finance (470 citations), Modeling and Simulation (53 citations) and Applied Mathematics (113 citations). Magdalena Kobylanski has collaborated with scholars based in France. Frequent 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. Their work appears in journals such as Journal of Mathematical Analysis and Applications, The Annals of Probability and Applied Mathematics & Optimization.
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.