Jan van Neerven

2.7k total citations · 1 hit paper
63 papers, 1.5k citations indexed

About

Jan van Neerven is a scholar working on Mathematical Physics, Applied Mathematics and Finance. According to data from OpenAlex, Jan van Neerven has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Mathematical Physics, 41 papers in Applied Mathematics and 27 papers in Finance. Recurrent topics in Jan van Neerven's work include Advanced Harmonic Analysis Research (29 papers), Advanced Banach Space Theory (28 papers) and Stochastic processes and financial applications (27 papers). Jan van Neerven is often cited by papers focused on Advanced Harmonic Analysis Research (29 papers), Advanced Banach Space Theory (28 papers) and Stochastic processes and financial applications (27 papers). Jan van Neerven collaborates with scholars based in Netherlands, Germany and United States. Jan van Neerven's co-authors include Lutz Weis, Mark Veraar, André J. Noest, J.P. Pijn, F.H. Lopes da Silva, Tuomas Hytönen, Zdzisław Brzeźniak, Jan Maas, Frank Räbiger and C. J. K. Batty and has published in prestigious journals such as Electroencephalography and Clinical Neurophysiology, SIAM Journal on Numerical Analysis and Lecture notes in mathematics.

In The Last Decade

Jan van Neerven

60 papers receiving 1.3k citations

Hit Papers

Analysis in Banach Spaces 2016 2026 2019 2022 2016 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan van Neerven Netherlands 18 729 569 378 360 349 63 1.5k
Hans Crauel Germany 17 375 0.5× 509 0.9× 1.2k 3.3× 1.7k 4.7× 468 1.3× 33 2.3k
Wilhelm Stannat Germany 13 218 0.3× 252 0.4× 190 0.5× 98 0.3× 254 0.7× 56 682
Hiroki Tanabe Japan 17 737 1.0× 506 0.9× 726 1.9× 535 1.5× 69 0.2× 91 1.6k
Rajendra Bhatia India 18 458 0.6× 306 0.5× 539 1.4× 62 0.2× 6 0.0× 64 1.3k
Kuo-Tsai Chen United States 15 164 0.2× 538 0.9× 151 0.4× 66 0.2× 69 0.2× 51 1.3k
Yuliy Baryshnikov United States 18 138 0.2× 281 0.5× 151 0.4× 54 0.1× 22 0.1× 83 817
Giovanna Citti Italy 17 635 0.9× 242 0.4× 314 0.8× 47 0.1× 15 0.0× 82 1.0k
Ya. B. Pesin United States 13 116 0.2× 1.0k 1.8× 102 0.3× 101 0.3× 17 0.0× 25 1.6k
Vladimir Scheffer United States 11 721 1.0× 552 1.0× 130 0.3× 264 0.7× 27 0.1× 11 1.0k
Ján Andres Czechia 14 563 0.8× 374 0.7× 248 0.7× 249 0.7× 4 0.0× 152 1.1k

Countries citing papers authored by Jan van Neerven

Since Specialization
Citations

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

Fields of papers citing papers by Jan van Neerven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan van Neerven. 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 van Neerven. The network helps show where Jan van Neerven may publish in the future.

Co-authorship network of co-authors of Jan van Neerven

This figure shows the co-authorship network connecting the top 25 collaborators of Jan van Neerven. A scholar is included among the top collaborators of Jan van Neerven 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 van Neerven. Jan van Neerven 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.
Neerven, Jan van & Pierre Portal. (2024). Thermal time as an unsharp observable. Journal of Mathematical Physics. 65(3).
2.
Hytönen, Tuomas, Jan van Neerven, Mark Veraar, & Lutz Weis. (2023). Analysis in Banach Spaces. 6 indexed citations
3.
Neerven, Jan van & Mark Veraar. (2021). Maximal inequalities for stochastic convolutions and pathwise uniform convergence of time discretisation schemes. Stochastic Partial Differential Equations Analysis and Computations. 10(2). 516–581. 4 indexed citations
4.
Neerven, Jan van & Pierre Portal. (2020). The weyl calculus for group generators satisfying the canonical commutation relations. Research Repository (Delft University of Technology).
5.
Neerven, Jan van & Mark Veraar. (2020). Maximal inequalities for stochastic convolutions in 2-smooth Banach spaces and applications to stochastic evolution equations. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 378(2185). 20190622–20190622. 6 indexed citations
6.
Neerven, Jan van, et al.. (2019). Relational analysis of the Frauchiger--Renner paradox and existence of records from the past. arXiv (Cornell University). 2 indexed citations
7.
Hytönen, Tuomas, Lutz Weis, Jan van Neerven, & Mark Veraar. (2017). Analysis in Banach Spaces: Volume II: Probabilistic Methods and Operator Theory. Työväentutkimus Vuosikirja. 17 indexed citations
8.
Neerven, Jan van, et al.. (2017). $$L^p$$-Analysis of the Hodge–Dirac Operator Associated with Witten Laplacians on Complete Riemannian Manifolds. Journal of Geometric Analysis. 28(4). 3109–3138. 1 indexed citations
9.
Hytönen, Tuomas, Jan van Neerven, Mark Veraar, & Lutz Weis. (2016). Analysis in Banach Spaces: Volume I: Martingales and Littlewood-Paley Theory. 32 indexed citations
10.
Dirksen, Sjoerd, Jan Maas, & Jan van Neerven. (2013). Poisson stochastic integration in Banach spaces. Electronic Journal of Probability. 18(none). 5 indexed citations
11.
Neerven, Jan van, et al.. (2013). Pathwise Hölder convergence of the implicit-linear Euler scheme for semi-linear SPDEs with multiplicative noise. Numerische Mathematik. 125(2). 259–345. 24 indexed citations
12.
Neerven, Jan van, et al.. (2012). Uniformly γ-radonifying families of operators and the stochastic Weiss conjecture. Operators and Matrices. 767–792. 1 indexed citations
13.
Kunze, Markus & Jan van Neerven. (2011). Approximating the coefficients in semilinear stochastic partial differential equations. Journal of Evolution Equations. 11(3). 577–604. 9 indexed citations
14.
Neerven, Jan van. (2009). Asymptotic behaviour of C0-semigroups and γ-boundedness of the resolvent. Journal of Mathematical Analysis and Applications. 358(2). 380–388. 3 indexed citations
15.
Maas, Jan & Jan van Neerven. (2009). Boundedness of Riesz transforms for elliptic operators on abstract Wiener spaces. Journal of Functional Analysis. 257(8). 2410–2475. 8 indexed citations
16.
Maas, Jan & Jan van Neerven. (2008). A Clark-Ocone formula in UMD Banach spaces. Electronic Communications in Probability. 13(none). 7 indexed citations
17.
Maas, Jan & Jan van Neerven. (2007). On analytic Ornstein-Uhlenbeck semigroups in infinite dimensions. Archiv der Mathematik. 89(3). 226–236. 8 indexed citations
18.
Neerven, Jan van, et al.. (2004). A Lie-Trotter product formula for Ornstein-Uhlenbeck semigroups in infinite dimensions. Journal of Evolution Equations. 4(1). 53–73. 8 indexed citations
19.
Batty, C. J. K., Jan van Neerven, & Frank Räbiger. (1998). Tauberian theorems and stability of solutions of the Cauchy problem. Transactions of the American Mathematical Society. 350(5). 2087–2103. 26 indexed citations
20.
Pijn, J.P., Jan van Neerven, André J. Noest, & F.H. Lopes da Silva. (1991). Chaos or noise in EEG signals; dependence on state and brain site. Electroencephalography and Clinical Neurophysiology. 79(5). 371–381. 324 indexed citations

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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