Jan Seidler

2.9k total citations · 1 hit paper
29 papers, 2.0k citations indexed

About

Jan Seidler is a scholar working on Finance, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Jan Seidler has authored 29 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Finance, 13 papers in Control and Systems Engineering and 9 papers in Computational Theory and Mathematics. Recurrent topics in Jan Seidler's 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). Jan Seidler is often cited by papers focused on Stochastic processes and financial applications (21 papers), Stability and Controllability of Differential Equations (12 papers) and Advanced Mathematical Modeling in Engineering (9 papers). Jan Seidler collaborates with scholars based in Czechia, Austria and United Kingdom. Jan Seidler's 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 and has published in prestigious journals such as Nutrients, Journal of Differential Equations and Probability Theory and Related Fields.

In The Last Decade

Jan Seidler

28 papers receiving 1.9k citations

Hit Papers

Brownian motion and stochastic calculus 1991 2026 2002 2014 1991 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Seidler Czechia 14 1.3k 415 386 326 317 29 2.0k
Tyrone E. Duncan United States 22 1.1k 0.8× 476 1.1× 201 0.5× 659 2.0× 254 0.8× 156 2.1k
Jie Xiong China 22 1.3k 1.0× 276 0.7× 365 0.9× 226 0.7× 245 0.8× 167 1.9k
A. N. Shiryayev Russia 12 1.3k 1.1× 430 1.0× 444 1.2× 402 1.2× 223 0.7× 15 2.7k
Peter K. Friz Germany 24 1.4k 1.1× 270 0.7× 705 1.8× 188 0.6× 340 1.1× 87 2.0k
Robert C. Dalang Switzerland 19 1.3k 1.0× 213 0.5× 709 1.8× 194 0.6× 369 1.2× 70 1.6k
François Delarue France 27 1.8k 1.4× 601 1.4× 484 1.3× 198 0.6× 200 0.6× 60 2.4k
David Applebaum United Kingdom 15 1.3k 1.0× 285 0.7× 721 1.9× 443 1.4× 473 1.5× 64 2.9k
Denis Talay France 24 1.4k 1.1× 201 0.5× 389 1.0× 97 0.3× 303 1.0× 64 2.6k
R. Liptser Israel 19 1.8k 1.5× 551 1.3× 596 1.5× 484 1.5× 266 0.8× 81 3.5k
Pierre Cardaliaguet France 26 742 0.6× 386 0.9× 330 0.9× 288 0.9× 549 1.7× 104 2.0k

Countries citing papers authored by Jan Seidler

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ondreját, Martin & Jan Seidler. (2025). A counterexample to the strong Skorokhod representation theorem. Stochastic Partial Differential Equations Analysis and Computations. 13(3). 1355–1360. 1 indexed citations
2.
Brzeźniak, Zdzisław, Martin Ondreját, & Jan Seidler. (2015). Invariant measures for stochastic nonlinear beam and wave equations. Journal of Differential Equations. 260(5). 4157–4179. 53 indexed citations
3.
Witkowski, Andrzej, et al.. (2014). Diatom-based estimation of sea surface salinity in the south Baltic Sea and Kattegat. 27(2). 131–140. 4 indexed citations
4.
Hofmanová, Martina & Jan Seidler. (2013). On Weak Solutions of Stochastic Differential Equations II. Stochastic Analysis and Applications. 31(4). 663–670. 6 indexed citations
5.
Hofmanová, Martina & Jan Seidler. (2011). On Weak Solutions of Stochastic Differential Equations. Stochastic Analysis and Applications. 30(1). 100–121. 22 indexed citations
6.
Seidler, Jan. (2010). Exponential Estimates for Stochastic Convolutions in 2-Smooth Banach Spaces. Electronic Journal of Probability. 15(none). 11 indexed citations
7.
Hausenblas, Erika & Jan Seidler. (2007). Stochastic Convolutions Driven by Martingales: Maximal Inequalities and Exponential Integrability. Stochastic Analysis and Applications. 26(1). 98–119. 28 indexed citations
8.
Brzeźniak, Zdzisław, Bohdan Maslowski, & Jan Seidler. (2004). Stochastic nonlinear beam equations. Probability Theory and Related Fields. 132(1). 119–149. 73 indexed citations
9.
Hausenblas, Erika & Jan Seidler. (2001). A Note on Maximal Inequality for Stochastic Convolutions. Czechoslovak Mathematical Journal. 51(4). 785–790. 47 indexed citations
10.
Maslowski, Bohdan & Jan Seidler. (2000). Probabilistic approach to the strong Feller property. Probability Theory and Related Fields. 118(2). 187–210. 20 indexed citations
11.
Seidler, Jan, et al.. (2000). The life and work of Zbyněk Šidák (1933–1999). Applications of Mathematics. 45(5). 321–336. 4 indexed citations
12.
Maslowski, Bohdan & Jan Seidler. (1999). On sequentially weakly Feller solutions to SPDE’s. Atti della Accademia Nazionale dei Lincei. Classe di Scienze Fisiche, Matematiche e Naturali. Rendiconti Lincei. Matematica e Applicazioni. 10(2). 69–78. 14 indexed citations
13.
Maslowski, Bohdan & Jan Seidler. (1998). Invariant measures for nonlinear SPDE's: uniqueness and stability. Archivum Mathematicum. 34(1). 153–172. 13 indexed citations
14.
Peszat, Szymon & Jan Seidler. (1998). Maximal inequalities and space-time regularity of stochastic convolutions. Mathematica Bohemica. 123(1). 7–32. 8 indexed citations
15.
Seidler, Jan. (1997). Ergodic behaviour of stochastic parabolic equations. Czechoslovak Mathematical Journal. 47(2). 277–316. 27 indexed citations
16.
Maslowski, Bohdan & Jan Seidler. (1994). Ergodic properties of recurrent solutions of stochastic evolution equations. Osaka Journal of Mathematics. 31(4). 965–1003. 6 indexed citations
17.
Maslowski, Bohdan, Jan Seidler, & Ivo Vrkoč. (1993). Integral continuity and stability for stochastic hyperbolic equations. Differential and Integral Equations. 6(2). 13 indexed citations
18.
Fischer, Ján, et al.. (1991). Ivo Vrkoč sexagenarian. Czechoslovak Mathematical Journal. 41(4). 737–750.
19.
Maslowski, Bohdan, Jan Seidler, & Ivo Vrkoč. (1991). An averaging principle for stochastic evolution equations. II.. Mathematica Bohemica. 116(2). 191–224. 18 indexed citations
20.
Seidler, Jan. (1991). Brownian motion and stochastic calculus. Acta Applicandae Mathematicae. 24(2). 197–200. 1575 indexed citations breakdown →

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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