Kathrin Padberg‐Gehle

1.5k total citations
36 papers, 915 citations indexed

About

Kathrin Padberg‐Gehle is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Computer Networks and Communications. According to data from OpenAlex, Kathrin Padberg‐Gehle has authored 36 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 10 papers in Computational Mechanics and 7 papers in Computer Networks and Communications. Recurrent topics in Kathrin Padberg‐Gehle's work include Quantum chaos and dynamical systems (15 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). Kathrin Padberg‐Gehle is often cited by papers focused on Quantum chaos and dynamical systems (15 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). Kathrin Padberg‐Gehle collaborates with scholars based in Germany, Australia and United States. Kathrin Padberg‐Gehle's co-authors include Gary Froyland, Michael Dellnitz, Dirk Helbing, Stefan Diez, Vladimír Varga, Jonathon Howard, Cécile Leduc, Anne‐Marie Tréguier, Matthew H. England and Sanjeeva Balasuriya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Electrochimica Acta.

In The Last Decade

Kathrin Padberg‐Gehle

36 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathrin Padberg‐Gehle Germany 14 403 185 130 103 97 36 915
Jean‐Luc Thiffeault United States 22 439 1.1× 333 1.8× 67 0.5× 157 1.5× 73 0.8× 65 1.2k
Preben Alstrøm Denmark 19 291 0.7× 71 0.4× 72 0.6× 226 2.2× 74 0.8× 53 1.1k
Sanjeeva Balasuriya Australia 16 263 0.7× 177 1.0× 60 0.5× 129 1.3× 98 1.0× 57 591
Pascal Chossat France 18 519 1.3× 306 1.7× 257 2.0× 609 5.9× 55 0.6× 55 1.3k
Alina Chertock United States 21 178 0.4× 696 3.8× 130 1.0× 21 0.2× 27 0.3× 60 1.4k
Erik S. Van Vleck United States 22 653 1.6× 148 0.8× 72 0.6× 613 6.0× 13 0.1× 74 1.8k
Nicholas Tufillaro United States 21 794 2.0× 174 0.9× 67 0.5× 476 4.6× 104 1.1× 61 1.5k
Stéphane G. Roux France 15 99 0.2× 62 0.3× 94 0.7× 19 0.2× 25 0.3× 38 800
Konstantinos C. Zygalakis United Kingdom 19 169 0.4× 139 0.8× 206 1.6× 23 0.2× 10 0.1× 55 1.0k
Raúl Montagne Brazil 12 248 0.6× 35 0.2× 69 0.5× 248 2.4× 44 0.5× 31 750

Countries citing papers authored by Kathrin Padberg‐Gehle

Since Specialization
Citations

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

Fields of papers citing papers by Kathrin Padberg‐Gehle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathrin Padberg‐Gehle. 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 Kathrin Padberg‐Gehle. The network helps show where Kathrin Padberg‐Gehle may publish in the future.

Co-authorship network of co-authors of Kathrin Padberg‐Gehle

This figure shows the co-authorship network connecting the top 25 collaborators of Kathrin Padberg‐Gehle. A scholar is included among the top collaborators of Kathrin Padberg‐Gehle 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 Kathrin Padberg‐Gehle. Kathrin Padberg‐Gehle 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.
Ruprecht, Daniel, et al.. (2023). A Python toolbox for the numerical solution of the Maxey‐Riley equation. PAMM. 22(1). 1 indexed citations
2.
Schumacher, Jörg, et al.. (2023). Lagrangian studies of coherent sets and heat transport in constant heat flux-driven turbulent Rayleigh–Bénard convection. European Journal of Mechanics - B/Fluids. 103. 69–85. 4 indexed citations
3.
Hoffmann, Marko, et al.. (2023). Computational study of three-dimensional Lagrangian transport and mixing in a stirred tank reactor. Chemical Engineering Journal Advances. 14. 100448–100448. 8 indexed citations
4.
Padberg‐Gehle, Kathrin, et al.. (2022). Open-flow mixing and transfer operators. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2225). 20210028–20210028. 1 indexed citations
5.
Padberg‐Gehle, Kathrin, et al.. (2021). Spectral Early-Warning Signals for Sudden Changes in Time-Dependent Flow Patterns. Fluids. 6(2). 49–49. 4 indexed citations
6.
Padberg‐Gehle, Kathrin, et al.. (2021). Lagrangian heat transport in turbulent three-dimensional convection. Physical Review Fluids. 6(4). 12 indexed citations
7.
Pandey, Ambrish, et al.. (2019). Lagrangian coherent sets in turbulent Rayleigh-Bénard convection. Physical review. E. 100(5). 53103–53103. 7 indexed citations
8.
Padberg‐Gehle, Kathrin, et al.. (2017). Robustness of coherent sets computations. Multilingual Matters (Channel View Publications). 1 indexed citations
9.
Padberg‐Gehle, Kathrin, et al.. (2017). Network-based study of Lagrangian transport and mixing. Nonlinear processes in geophysics. 24(4). 661–671. 33 indexed citations
10.
Padberg‐Gehle, Kathrin, et al.. (2017). Trajectory‐based computational study of coherent behavior in flows. PAMM. 17(1). 11–14. 1 indexed citations
11.
Padberg‐Gehle, Kathrin, et al.. (2017). Transfer operator-based extraction of coherent features on surfaces. 2 indexed citations
12.
Wallmersperger, Thomas, et al.. (2017). Modeling and Simulation of Electrochemical Cells under Applied Voltage. Electrochimica Acta. 258. 241–254. 29 indexed citations
13.
Froyland, Gary & Kathrin Padberg‐Gehle. (2015). A rough-and-ready cluster-based approach for extracting finite-time coherent sets from sparse and incomplete trajectory data. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(8). 87406–87406. 56 indexed citations
14.
Balasuriya, Sanjeeva & Kathrin Padberg‐Gehle. (2014). Nonautonomous control of stable and unstable manifolds in two-dimensional flows. Physica D Nonlinear Phenomena. 276. 48–60. 10 indexed citations
15.
Froyland, Gary & Kathrin Padberg‐Gehle. (2012). Finite-time entropy: A probabilistic approach for measuring nonlinear stretching. Physica D Nonlinear Phenomena. 241(19). 1612–1628. 30 indexed citations
16.
Dellnitz, Michael, et al.. (2009). On the Approximation of Transport Phenomena – a Dynamical Systems Approach. GAMM-Mitteilungen. 32(1). 47–60. 3 indexed citations
17.
Dellnitz, Michael, et al.. (2009). Seasonal variability of the subpolar gyres in the Southern Ocean: a numerical investigation based on transfer operators. Nonlinear processes in geophysics. 16(6). 655–663. 54 indexed citations
18.
Padberg‐Gehle, Kathrin, T. Hauff, F. Jenko, & Oliver Junge. (2007). Lagrangian structures and transport in turbulent magnetized plasmas. New Journal of Physics. 9(11). 400–400. 23 indexed citations
19.
Froyland, Gary, Kathrin Padberg‐Gehle, Matthew H. England, & Anne‐Marie Tréguier. (2007). Detection of Coherent Oceanic Structures via Transfer Operators. Physical Review Letters. 98(22). 224503–224503. 93 indexed citations
20.
Dellnitz, Michael, Oliver Junge, Wang Sang Koon, et al.. (2005). TRANSPORT IN DYNAMICAL ASTRONOMY AND MULTIBODY PROBLEMS. International Journal of Bifurcation and Chaos. 15(3). 699–727. 71 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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