Jan Seidler
- Finance top 0.5%
- Economics and Econometrics top 2%
- Mathematical Physics top 2%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Bohdan MaslowskiZdzisław BrzeźniakErika HausenblasMartin OndrejátIvo VrkočMartina HofmanováSzymon PeszatHans‐Georg Predel
- Topics
- Stochastic processes and financial applications (21 papers)Stability and Controllability of Differential Equations (12 papers)Advanced Mathematical Modeling in Engineering (9 papers)
- Partner nations
- CzechiaAustriaUnited Kingdom
In The Last Decade
Jan Seidler
28 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Finance 1.3k
- Economics and Econometrics 415
- Mathematical Physics 386
- Control and Systems Engineering 326
- Computational Theory and Mathematics 317
Countries citing papers authored by Jan Seidler
This map shows the geographic impact of Jan Seidler'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 Jan Seidler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Seidler more than expected).
Fields of papers citing papers by Jan Seidler
This network shows the impact of papers produced by Jan Seidler. 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 Jan Seidler. The network helps show where Jan Seidler may publish in the future.
Co-authorship network of co-authors of Jan Seidler
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Seidler. A scholar is included among the top collaborators of Jan Seidler 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 Jan Seidler. Jan Seidler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 53 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 22 | |
| 6 | 11 | |
| 7 | 28 | |
| 8 | 73 | |
| 9 | 47 | |
| 10 | 20 | |
| 11 | 4 | |
| 12 | On sequentially weakly Feller solutions to SPDE’s | 14 |
| 13 | Invariant measures for nonlinear SPDE's: uniqueness and stability | 13 |
| 14 | 8 | |
| 15 | 27 | |
| 16 | 6 | |
| 17 | 13 | |
| 18 | 0 | |
| 19 | 18 | |
| 20 | Brownian motion and stochastic calculusbreakdown → | 1575 |
About Jan Seidler
Jan Seidler is a scholar working on Finance, Applied Mathematics and Mathematical Physics, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (21 papers), Stability and Controllability of Differential Equations (12 papers) and Advanced Mathematical Modeling in Engineering (9 papers). The work is most often cited by research in Finance (1.3k citations), Mathematical Physics (386 citations) and Modeling and Simulation (143 citations). Jan Seidler has collaborated with scholars based in Czechia, Austria and United Kingdom. Frequent co-authors include Bohdan Maslowski, Zdzisław Brzeźniak, Erika Hausenblas, Martin Ondreját, Ivo Vrkoč, Martina Hofmanová, Szymon Peszat, Hans‐Georg Predel, Christian Brinkmann and Ivan Saxl. Their work appears in journals such as Nutrients, Journal of Differential Equations and Probability Theory and Related Fields.
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.