Péter Koltai

758 total citations
29 papers, 383 citations indexed

About

Péter Koltai is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Global and Planetary Change. According to data from OpenAlex, Péter Koltai has authored 29 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 6 papers in Computational Mechanics and 6 papers in Global and Planetary Change. Recurrent topics in Péter Koltai's work include Quantum chaos and dynamical systems (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). Péter Koltai is often cited by papers focused on Quantum chaos and dynamical systems (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). Péter Koltai collaborates with scholars based in Germany, Australia and United States. Péter Koltai's co-authors include Oliver Junge, Ralf Banisch, Gary Froyland, Stefan Klus, Frank Noé, Fabian Paul, Feliks Nüske, Hao Wu, Christof Schütte and Michael Dellnitz and has published in prestigious journals such as The Journal of Chemical Physics, Communications in Mathematical Physics and SIAM Journal on Numerical Analysis.

In The Last Decade

Péter Koltai

29 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Péter Koltai Germany 10 187 100 67 49 49 29 383
Dror Givon Israel 7 148 0.8× 39 0.4× 53 0.8× 29 0.6× 30 0.6× 7 382
Antonios Zagaris Netherlands 11 196 1.0× 110 1.1× 165 2.5× 22 0.4× 17 0.3× 19 505
Carsten Hartmann Germany 16 315 1.7× 152 1.5× 29 0.4× 101 2.1× 86 1.8× 57 620
Grzegorz Sikora Poland 15 188 1.0× 147 1.5× 7 0.1× 44 0.9× 31 0.6× 45 609
Kiran M. Kolwankar India 11 378 2.0× 33 0.3× 29 0.4× 10 0.2× 21 0.4× 26 881
Silke Siegert Germany 6 230 1.2× 62 0.6× 33 0.5× 37 0.8× 53 1.1× 7 536
J. P. Huke United Kingdom 12 233 1.2× 47 0.5× 15 0.2× 9 0.2× 124 2.5× 26 593
Tomohiro Nagashima Germany 6 617 3.3× 44 0.4× 39 0.6× 8 0.2× 82 1.7× 21 834
Naratip Santitissadeekorn United States 10 205 1.1× 38 0.4× 78 1.2× 12 0.2× 45 0.9× 25 413
Izaak Neri United Kingdom 16 452 2.4× 107 1.1× 27 0.4× 8 0.2× 31 0.6× 32 675

Countries citing papers authored by Péter Koltai

Since Specialization
Citations

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

Fields of papers citing papers by Péter Koltai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Koltai

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Koltai. A scholar is included among the top collaborators of Péter Koltai 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 Péter Koltai. Péter Koltai 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.
Koltai, Péter, et al.. (2024). A Koopman–Takens Theorem: Linear Least Squares Prediction of Nonlinear Time Series. Communications in Mathematical Physics. 405(5). 3 indexed citations
2.
Heitzig, Jobst, et al.. (2023). Large population limits of Markov processes on random networks. Stochastic Processes and their Applications. 166. 104220–104220. 2 indexed citations
3.
Koltai, Péter, et al.. (2023). Collective variables between large-scale states in turbulent convection. Physical Review Research. 5(3). 2 indexed citations
4.
Müller, Annette, et al.. (2022). Direct Bayesian model reduction of smaller scale convective activity conditioned on large-scale dynamics. Nonlinear processes in geophysics. 29(1). 37–52. 2 indexed citations
5.
Müller, Annette, et al.. (2021). Direct Bayesian model reduction of smaller scale convective activity conditioned on large scale dynamics. Refubium (Universitätsbibliothek der Freien Universität Berlin). 1 indexed citations
6.
Koltai, Péter, et al.. (2021). Transfer operators from optimal transport plans for coherent set detection. Physica D Nonlinear Phenomena. 426. 132980–132980. 6 indexed citations
7.
Koltai, Péter, et al.. (2020). Extending Transition Path Theory: Periodically Driven and Finite-Time Dynamics. Journal of Nonlinear Science. 30(6). 3321–3366. 17 indexed citations
8.
Koltai, Péter, et al.. (2020). Targets and holes. Proceedings of the American Mathematical Society. 149(8). 3293–3306. 2 indexed citations
9.
Pandey, Ambrish, et al.. (2019). Lagrangian coherent sets in turbulent Rayleigh-Bénard convection. Physical review. E. 100(5). 53103–53103. 7 indexed citations
10.
Koltai, Péter & Christof Schütte. (2018). A Multiscale Perturbation Expansion Approach for Markov State Modeling of Nonstationary Molecular Dynamics. Multiscale Modeling and Simulation. 16(4). 1455–1485. 2 indexed citations
11.
Koltai, Péter, et al.. (2017). Transition Manifolds of Complex Metastable Systems. Journal of Nonlinear Science. 28(2). 471–512. 35 indexed citations
12.
Banisch, Ralf & Péter Koltai. (2017). Understanding the geometry of transport: Diffusion maps for Lagrangian trajectory data unravel coherent sets. Chaos An Interdisciplinary Journal of Nonlinear Science. 27(3). 35804–35804. 49 indexed citations
13.
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
14.
Froyland, Gary & Péter Koltai. (2017). Estimating long-term behavior of periodically driven flows without trajectory integration. Nonlinearity. 30(5). 1948–1986. 13 indexed citations
15.
Koltai, Péter, Giovanni Ciccotti, & Christof Schütte. (2016). On metastability and Markov state models for non-stationary molecular dynamics. The Journal of Chemical Physics. 145(17). 174103–174103. 10 indexed citations
16.
Hartmann, Carsten, et al.. (2015). Pseudo generators for under-resolved molecular dynamics. The European Physical Journal Special Topics. 224(12). 2463–2490. 2 indexed citations
17.
Froyland, Gary, Oliver Junge, & Péter Koltai. (2013). Estimating Long-Term Behavior of Flows without Trajectory Integration: The Infinitesimal Generator Approach. SIAM Journal on Numerical Analysis. 51(1). 223–247. 53 indexed citations
18.
Koltai, Péter. (2010). Efficient Approximation Methods for the Global Long-Term Behavior of Dynamical Systems - Theory, Algorithms and Examples. ERef Bayreuth (University of Bayreuth). 11 indexed citations
19.
Friesecke, Gero, Oliver Junge, & Péter Koltai. (2009). Mean Field Approximation in Conformation Dynamics. Multiscale Modeling and Simulation. 8(1). 254–268. 2 indexed citations
20.
Junge, Oliver & Péter Koltai. (2009). Discretization of the Frobenius–Perron Operator Using a Sparse Haar Tensor Basis: The Sparse Ulam Method. SIAM Journal on Numerical Analysis. 47(5). 3464–3485. 23 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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