Benjamin Gess

1.2k total citations
37 papers, 576 citations indexed

About

Benjamin Gess is a scholar working on Finance, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Benjamin Gess has authored 37 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Finance, 22 papers in Computational Theory and Mathematics and 14 papers in Control and Systems Engineering. Recurrent topics in Benjamin Gess's work include Stochastic processes and financial applications (26 papers), Advanced Mathematical Modeling in Engineering (22 papers) and Stability and Controllability of Differential Equations (14 papers). Benjamin Gess is often cited by papers focused on Stochastic processes and financial applications (26 papers), Advanced Mathematical Modeling in Engineering (22 papers) and Stability and Controllability of Differential Equations (14 papers). Benjamin Gess collaborates with scholars based in Germany, United States and United Kingdom. Benjamin Gess's co-authors include Michael Röckner, Wei Liu, Paul Lescot, Wolf‐Jürgen Beyn, Panagiotis E. Souganidis, Franco Flandoli, Michael Scheutzow, Archil Gulisashvili, Peter K. Friz and Eitan Tadmor and has published in prestigious journals such as Mathematics of Computation, Communications in Mathematical Physics and Transactions of the American Mathematical Society.

In The Last Decade

Benjamin Gess

33 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Gess Germany 14 369 320 288 177 138 37 576
Erika Hausenblas Austria 16 311 0.8× 178 0.6× 599 2.1× 224 1.3× 175 1.3× 60 782
Abdelaziz Rhandi Italy 16 317 0.9× 273 0.9× 100 0.3× 418 2.4× 432 3.1× 75 797
Annie Millet France 14 186 0.5× 101 0.3× 372 1.3× 109 0.6× 218 1.6× 34 508
András Bátkai Hungary 11 281 0.8× 265 0.8× 33 0.1× 216 1.2× 240 1.7× 24 516
Hakima Bessaih United States 13 122 0.3× 105 0.3× 247 0.9× 220 1.2× 116 0.8× 47 417
Peter Kotelenez United States 14 126 0.3× 117 0.4× 327 1.1× 124 0.7× 219 1.6× 26 529
Giorgio Metafune Italy 18 574 1.6× 174 0.5× 125 0.4× 690 3.9× 695 5.0× 94 1.1k
Renhai Wang China 17 665 1.8× 800 2.5× 216 0.8× 328 1.9× 251 1.8× 64 980
David Cheban Moldova 12 164 0.4× 382 1.2× 35 0.1× 312 1.8× 112 0.8× 64 576
David Elworthy United Kingdom 4 64 0.2× 136 0.4× 121 0.4× 70 0.4× 113 0.8× 4 398

Countries citing papers authored by Benjamin Gess

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Gess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Gess

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Gess. A scholar is included among the top collaborators of Benjamin Gess 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 Benjamin Gess. Benjamin Gess 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.
Gess, Benjamin, et al.. (2025). Conservative SPDEs as fluctuating mean field limits of stochastic gradient descent. Probability Theory and Related Fields. 192(3-4). 1447–1515.
2.
Gess, Benjamin, et al.. (2025). Stabilization by transport noise and enhanced dissipation in the Kraichnan model. Journal of Evolution Equations. 25(2). 5 indexed citations
3.
Baňas, Ľubomír, et al.. (2025). Stochastic partial differential equations arising in self-organized criticality. The Annals of Applied Probability. 35(1). 1 indexed citations
4.
Gess, Benjamin, et al.. (2024). Lyapunov exponents and synchronisation by noise for systems of SPDEs. The Annals of Probability. 52(5). 1 indexed citations
5.
Gess, Benjamin, et al.. (2024). Well-Posedness of the Dean–Kawasaki and the Nonlinear Dawson–Watanabe Equation with Correlated Noise. Archive for Rational Mechanics and Analysis. 248(2). 3 indexed citations
6.
Gess, Benjamin, et al.. (2024). SVI solutions to stochastic nonlinear diffusion equations on general measure spaces. Journal of Evolution Equations. 24(4).
7.
Gess, Benjamin, et al.. (2023). Thermodynamically consistent and positivity-preserving discretization of the thin-film equation with thermal noise. Mathematics of Computation. 92(343). 1931–1976. 1 indexed citations
8.
Gess, Benjamin, et al.. (2023). Non-equilibrium large deviations and parabolic-hyperbolic PDE with irregular drift. Inventiones mathematicae. 234(2). 573–636. 9 indexed citations
9.
Gess, Benjamin, et al.. (2023). Long-time behavior of stochastic Hamilton-Jacobi equations. Journal of Functional Analysis. 286(4). 110269–110269. 2 indexed citations
10.
Baňas, Ľubomír, et al.. (2023). Numerical approximation of singular-degenerate parabolic stochastic partial differential equations. IMA Journal of Numerical Analysis. 44(4). 2090–2137. 2 indexed citations
11.
Gess, Benjamin, et al.. (2020). Optimal regularity in time and space for the porous medium equation. Analysis & PDE. 13(8). 2441–2480. 9 indexed citations
12.
Gess, Benjamin, et al.. (2018). Path-by-path well-posedness of nonlinear diffusion equations with\n multiplicative noise. Oxford University Research Archive (ORA) (University of Oxford). 4 indexed citations
13.
Gess, Benjamin, et al.. (2018). Entropy solutions for stochastic porous media equations. Journal of Differential Equations. 266(6). 3732–3763. 16 indexed citations
14.
Gess, Benjamin, et al.. (2018). Well-posedness by noise for scalar conservation laws. Communications in Partial Differential Equations. 43(12). 1702–1736. 10 indexed citations
15.
Gess, Benjamin, et al.. (2018). Regularization by noise for stochastic Hamilton–Jacobi equations. Probability Theory and Related Fields. 173(3-4). 1063–1098. 15 indexed citations
16.
Gess, Benjamin & Panagiotis E. Souganidis. (2017). Stochastic non-isotropic degenerate parabolic–hyperbolic equations. Stochastic Processes and their Applications. 127(9). 2961–3004. 17 indexed citations
17.
Gess, Benjamin & Michael Röckner. (2016). Stochastic variational inequalities and regularity for degenerate stochastic partial differential equations. Transactions of the American Mathematical Society. 369(5). 3017–3045. 10 indexed citations
18.
Gess, Benjamin. (2013). Random attractors for singular stochastic evolution equations. Journal of Differential Equations. 255(3). 524–559. 52 indexed citations
19.
Gess, Benjamin, et al.. (2013). Multi-valued, singular stochastic evolution inclusions. Journal de Mathématiques Pures et Appliquées. 101(6). 789–827. 20 indexed citations
20.
Gess, Benjamin, Wei Liu, & Michael Röckner. (2011). Random attractors for a class of stochastic partial differential equations driven by general additive noise. Journal of Differential Equations. 251(4-5). 1225–1253. 97 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Erika Hausenblas Breakdown of academic impact, for papers by Abdelaziz Rhandi Breakdown of academic impact, for papers by Annie Millet Breakdown of academic impact, for papers by András Bátkai Breakdown of academic impact, for papers by Hakima Bessaih Breakdown of academic impact, for papers by Peter Kotelenez Breakdown of academic impact, for papers by Giorgio Metafune Breakdown of academic impact, for papers by Renhai Wang Breakdown of academic impact, for papers by David Cheban Breakdown of academic impact, for papers by David Elworthy
Rankless by CCL
2026