Physica D: Nonlinear Phenomena

Aims & Scope

Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena.

Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.9

SJR (SCImago Journal Rank)

Year	Value
2024	0.940

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	154

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics and Physics and Astronomy, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Nonlinear total variation based noise removal algorithms

  Citation: 11941

  Authors: Leonid I., Stanley, Emad

• Determining Lyapunov exponents from a time series

  Citation: 6999

  Authors: Alan, Jack B., Harry L., John A.

• Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

  Citation: 3979

  Authors: Alex

• Measuring the strangeness of strange attractors

  Citation: 3696

  Authors: Peter, Itamar

• Testing for nonlinearity in time series: the method of surrogate data

  Citation: 2910

  Authors: James, Stephen, André, Bryan, J.

• A practical method for calculating largest Lyapunov exponents from small data sets

  Citation: 2641

  Authors: Michael T., James J., Carlo J.

• From Kuramoto to Crawford: exploring the onset of synchronization in populations of coupled oscillators

  Citation: 2367

  Authors: Steven H.

• The symbol grounding problem

  Citation: 2267

  Authors: Stevan

• Extracting qualitative dynamics from experimental data

  Citation: 1648

  Authors: D.S., Gregory P.

• Approach to an irregular time series on the basis of the fractal theory

  Citation: 1636

  Authors: T.

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