output
20112025
most citedComplex network approaches to nonlinear time series analysis

648 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2015Show all

6 papers · 1 filter

physics.soc-ph2015★ 42 cited

Spatial network surrogates for disentangling complex system structure from spatial embedding of nodes

Marc Wiedermann, Jonathan F. Donges, Jürgen Kurths +1

Networks with nodes embedded in a metric space have gained increasing interest in recent years. The effects of spatial embedding on the networks' structural characteristics, howeve…

physics.soc-ph2015★ 194 cited

Event coincidence analysis for quantifying statistical interrelationships between event time series: on the role of flood events as possible triggers of epidemic outbreaks

Jonathan F. Donges, Carl-Friedrich Schleussner, Jonatan F. Siegmund +1

Studying event time series is a powerful approach for analyzing the dynamics of complex dynamical systems in many fields of science. In this paper, we describe the method of event…

physics.data-an2015★ 134 cited

Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package

Jonathan F. Donges, Jobst Heitzig, Boyan Beronov +9

We introduce the \texttt{pyunicorn} (Pythonic unified complex network and recurrence analysis toolbox) open source software package for applying and combining modern methods of dat…

physics.ao-ph2015★ 34 cited

Hierarchical structures in Northern Hemispheric extratropical winter ocean-atmosphere interactions

Marc Wiedermann, Jonathan F. Donges, Dörthe Handorf +2

In recent years extensive studies on the Earth's climate system have been carried out by means of advanced complex network statistics. The great majority of these studies, however,…

physics.soc-ph2015★ 56 cited

Macroscopic description of complex adaptive networks co-evolving with dynamic node states

Marc Wiedermann, Jonathan F. Donges, Jobst Heitzig +2

In many real-world complex systems, the time-evolution of the network's structure and the dynamic state of its nodes are closely entangled. Here, we study opinion formation and imi…

q-bio.QM2015★ 22 cited

Generalized modeling of empirical social-ecological systems

Steven J. Lade, Susa Niiranen

Modeling social-ecological systems is difficult due to the complexity of ecosystems and of individual and collective human behavior. Key components of the social-ecological system…