Stefan Klus

1.2k total citations
30 papers, 677 citations indexed

About

Stefan Klus is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Stefan Klus has authored 30 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistical and Nonlinear Physics, 11 papers in Artificial Intelligence and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Stefan Klus's work include Model Reduction and Neural Networks (19 papers), Probabilistic and Robust Engineering Design (8 papers) and Gaussian Processes and Bayesian Inference (5 papers). Stefan Klus is often cited by papers focused on Model Reduction and Neural Networks (19 papers), Probabilistic and Robust Engineering Design (8 papers) and Gaussian Processes and Bayesian Inference (5 papers). Stefan Klus collaborates with scholars based in Germany, United Kingdom and United States. Stefan Klus's co-authors include Sebastian Peitz, Feliks Nüske, Christof Schütte, Cecilia Clementi, Péter Koltai, Krikamol Muandet, Ingmar Schuster, Frank Noé, Fabian Paul and Hao Wu and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and Scientific Reports.

In The Last Decade

Stefan Klus

26 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Klus Germany 11 454 153 139 135 134 30 677
Jared Callaham United States 9 239 0.5× 68 0.4× 118 0.8× 85 0.6× 75 0.6× 13 404
Kathleen Champion United States 3 221 0.5× 75 0.5× 52 0.4× 82 0.6× 95 0.7× 4 339
Matthew O. Williams United States 12 446 1.0× 130 0.8× 202 1.5× 46 0.3× 107 0.8× 27 596
Peter Giesl United Kingdom 14 286 0.6× 32 0.2× 94 0.7× 53 0.4× 537 4.0× 95 849
Alejandro Cósimo Argentina 9 55 0.1× 28 0.2× 114 0.8× 52 0.4× 74 0.6× 17 471
Travis Askham United States 6 151 0.3× 53 0.3× 87 0.6× 48 0.4× 61 0.5× 13 297
Laurent Baratchart France 15 97 0.2× 43 0.3× 84 0.6× 28 0.2× 104 0.8× 80 795
Sigurður Hafstein Iceland 14 221 0.5× 22 0.1× 23 0.2× 49 0.4× 578 4.3× 88 765
Turgut Öziş Türkiye 26 1.2k 2.7× 39 0.3× 209 1.5× 12 0.1× 58 0.4× 65 2.3k
Gerald Moore United Kingdom 13 107 0.2× 27 0.2× 172 1.2× 18 0.1× 78 0.6× 24 618

Countries citing papers authored by Stefan Klus

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Klus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Klus

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Klus. A scholar is included among the top collaborators of Stefan Klus 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 Stefan Klus. Stefan Klus 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.
Klus, Stefan, et al.. (2025). Clustering time-evolving networks using the spatiotemporal graph Laplacian. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(1).
2.
Tabish, Mohammad, et al.. (2025). Learning dynamical systems from data: Gradient-based dictionary optimization. Physica D Nonlinear Phenomena. 481. 134822–134822.
3.
Klus, Stefan, et al.. (2025). Data-driven system identification using quadratic embeddings of nonlinear dynamics. Physica D Nonlinear Phenomena. 482. 134839–134839. 1 indexed citations
4.
Conrad, Tim, et al.. (2025). Random walk based snapshot clustering for detecting community dynamics in temporal networks. Scientific Reports. 15(1). 24414–24414.
5.
Klus, Stefan, et al.. (2024). Dynamical systems and complex networks: a Koopman operator perspective. Journal of Physics Complexity. 5(4). 41001–41001. 4 indexed citations
6.
Klus, Stefan, et al.. (2024). Transfer operators on graphs: spectral clustering and beyond. Journal of Physics Complexity. 5(1). 15014–15014. 4 indexed citations
7.
Nüske, Feliks & Stefan Klus. (2023). Efficient approximation of molecular kinetics using random Fourier features. The Journal of Chemical Physics. 159(7). 9 indexed citations
8.
Schütte, Christof, Stefan Klus, & Carsten Hartmann. (2023). Overcoming the timescale barrier in molecular dynamics: Transfer operators, variational principles and machine learning. Acta Numerica. 32. 517–673. 21 indexed citations
9.
Klus, Stefan, et al.. (2022). Koopman-Based Spectral Clustering of Directed and Time-Evolving Graphs. Journal of Nonlinear Science. 33(1). 7 indexed citations
10.
Klus, Stefan, et al.. (2021). Feature space approximation for kernel-based supervised learning. Knowledge-Based Systems. 221. 106935–106935. 3 indexed citations
11.
Klus, Stefan, et al.. (2021). Data-driven model reduction of agent-based systems using the Koopman generator. PLoS ONE. 16(5). e0250970–e0250970. 8 indexed citations
12.
Navarra, Antonio, Joseph Tribbia, & Stefan Klus. (2021). Estimation of Koopman Transfer Operators for the Equatorial Pacific SST. Journal of the Atmospheric Sciences. 78(4). 1227–1244. 9 indexed citations
13.
Klus, Stefan, Feliks Nüske, & Boumediene Hamzi. (2020). Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator. Refubium (Universitätsbibliothek der Freien Universität Berlin). 35 indexed citations
14.
Klus, Stefan, et al.. (2020). Data-driven approximation of the Koopman generator: Model reduction, system identification, and control. Physica D Nonlinear Phenomena. 406. 132416–132416. 173 indexed citations
15.
Koltai, Péter, et al.. (2017). Transition Manifolds of Complex Metastable Systems. Journal of Nonlinear Science. 28(2). 471–512. 35 indexed citations
16.
Klus, Stefan, Ingmar Schuster, & Krikamol Muandet. (2017). Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces. Journal of Machine Learning Research. 1 indexed citations
17.
Wu, Hao, Feliks Nüske, Fabian Paul, et al.. (2017). Variational Koopman models: Slow collective variables and molecular kinetics from short off-equilibrium simulations. The Journal of Chemical Physics. 146(15). 154104–154104. 90 indexed citations
18.
Klus, Stefan, et al.. (2017). Nearest-neighbor interaction systems in the tensor-train format. Journal of Computational Physics. 341. 140–162. 12 indexed citations
19.
Klus, Stefan, et al.. (2010). An efficient algorithm for the parallel solution of high-dimensional differential equations. Journal of Computational and Applied Mathematics. 235(9). 3053–3062. 3 indexed citations
20.
Potente, H., et al.. (2005). Two Dimensional Description of Pressure-Throughput Behaviour of Newtonian Materials Considering Wall Slippage Effects. International Polymer Processing. 20(3). 312–321. 10 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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