982 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Carl von Ossietzky Universität OldenburgDE47 papers
- Helmholtz Institute for Functional Marine BiodiversityDE7 papers
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und MeeresforschungDE6 papers
- Potsdam Institute for Climate Impact ResearchDE4 papers
- Eötvös Loránd UniversityHU3 papers
- Philipps University of MarburgDE3 papers
- Technische Universität DarmstadtDE3 papers
- Universidade de São PauloBR3 papers
- Universidade Federal de São PauloBR3 papers
- University of California, DavisUS3 papers
- University of Maryland, College ParkUS3 papers
- Carnegie Mellon UniversityUS2 papers
5 papers · 1 filter
Riddled Basins of Attraction in Systems Exhibiting Extreme Events
Arindam Saha, Ulrike Feudel
Using a system of two FitzHugh-Nagumo units, we demonstrate the occurrence of riddled basins of attraction in delay-coupled systems as the coupling between the units is increased.…
Aggregation and fragmentation dynamics in random flows: From tracers to inertial aggregates
Ksenia Guseva, Ulrike Feudel
We investigate aggregation and fragmentation dynamics of tracers and inertial aggregates in random flows leading to steady state size distributions. Our objective is to elucidate t…
Recovery time after localized perturbations in complex dynamical networks
Chiranjit Mitra, Tim Kittel, Anshul Choudhary +2
Maintaining the synchronous motion of dynamical systems interacting on complex networks is often critical to their functionality. However, real-world networked dynamical systems op…
Extreme events in Fitzhugh-Nagumo oscillators coupled with two time delays
Arindam Saha, Ulrike Feudel
We study two identical FitzHugh-Nagumo oscillators which are coupled with one or two different time delays. If only a single delay coupling is used, the length of the delay determi…
Semidefinite tests for latent causal structures
Aditya Kela, Kai von Prillwitz, Johan Aberg +2
Testing whether a probability distribution is compatible with a given Bayesian network is a fundamental task in the field of causal inference, where Bayesian networks model causal…