Péter Koltai

776 citations
31 papers · 438 · h-index 11

Impact in

Papers in

Péter Koltai

31 papers receiving 422 citations

Peers

Péter Koltai
Comparison fields: 5 of 81
  • Statistical and Nonlinear Physics 204
  • Statistics, Probability and Uncertainty 59
  • Computational Mechanics 74
  • Computational Mathematics 2
  • Computational Theory and Mathematics 43
Replace Naratip Santitissadeekorn with:
Naratip Santitissadeekorn United States
Tyrus Berry United States
Xin T. Tong United States
Antonios Zagaris Netherlands
Alejandro Cósimo Argentina
Dror Givon United States
Silke Siegert Germany
Andreas Rößler Germany
Volker Wihstutz United States
Shev MacNamara Australia
Péter Koltai relative to Naratip Santitissadeekorn United States Naratip Santitissadeekorn's profile →
Citations per field
00.5×3.0×
Naratip Santitissadeekorn · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Péter Koltai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Péter Koltai Line = papers co-authored together Péter Koltai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201793
2 201356
3 201752
4 201735
5 200924
6 201322
7 202019
8 201716
9
Efficient Approximation Methods for the Global Long-Term Behavior of Dynamical Systems - Theory, Algorithms and Examples
201011
10 201511
11 201610
12 201110
13 20198
14 20238
15 20218
16 20227
17 20197
18 20196
19 20235
20 20185

About Péter Koltai

Péter Koltai is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Computational Mechanics, Global and Planetary Change and Atomic and Molecular Physics, and Optics, having authored 31 papers that have together received 438 indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Model Reduction and Neural Networks (5 papers), Protein Structure and Dynamics (4 papers), Plant Water Relations and Carbon Dynamics (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (204 citations), Statistics, Probability and Uncertainty (59 citations), Computational Mechanics (74 citations), Computational Mathematics (2 citations) and Computational Theory and Mathematics (43 citations). Péter Koltai has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Oliver Junge, Ralf Banisch, Gary Froyland, Stefan Klus, Frank Noé, Hao Wu, Feliks Nüske, Fabian Paul, Christof Schütte and Michael Dellnitz. Their work appears in journals such as Journal of Nonlinear Science, Multiscale Modeling and Simulation, SIAM Journal on Numerical Analysis, The Journal of Chemical Physics and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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