Recurrence quantification based Liapunov exponents for monitoring divergence in experimental data

By J. Zbilut, José-Manuel Zaldívar-Comenges, Fernanda Strozzi. 2002

190 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/4567eeca4c8db45c79cd52219211bc8c25818246

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Norbert Marwan

In Computer Networks and Communications

1. Norbert Marwan
2. Jürgen Kurths
3. Yong Zou
4. Jonathan F. Donges
5. Reik V. Donner
6. Cornelis J. Stam

In Statistical and Nonlinear Physics

1. Norbert Marwan
2. Jürgen Kurths
3. Yong Zou
4. Reik V. Donner
5. Jonathan F. Donges
6. Cornelis J. Stam

Citations in the corpus

• Encounters with neighbours : current developments of concepts based on recurrence plots and their applications (2003, methodology): “For this case Zbilut et al. (2002) have suggested to choose ε so that the recurrence point density is approximately 1%.”