Nonlinear Dynamics, Psychology, and Life Sciences

Aims & Scope

Nonlinear Dynamics, Psychology, and Life Sciences publishes articles that augment the fundamental ways we understand, describe, model and predict nonlinear phenomena in psychology and the life and social sciences.

One or more of the following nonlinear concepts must be an explicit part of the exposition: attractors, bifurcations, chaos, fractals, solitons, catastrophes, self-organizing processes and emergence, power law distributions, cellular automata, agent-based models, genetic algorithms or related evolutionary processes, and social or neural networks.

The broad mixture of the disciplines represented here indicates that many bodies of knowledge share common principles.

By juxtaposing developments in different fields within the life and social sciences, the scientific communities may obtain fresh perspectives on those common principles and their implications.

Because the journal is multidisciplinary in scope, articles should make an original contribution to at least one substantive area and should in addition illuminate issues beyond that area‘s boundaries.

Papers, however excellent that pertain only to an overly narrow field of interest are not appropriate for this journal.

Papers must make original contributions to the understanding of dynamical processes as defined above, and the exposition must be rigorous.

Papers can focus upon theory, experimentation, algorithms, numerical simulation, applications to problems in any of the foregoing substantive areas, or philosophy of science if the subject matter is explicitly related to research and theory developments nonlinear dynamical systems.

Overly abstract papers, however, in which the application to psychology or to life or social science issues is not apparent are not appropriate for this journal.

In addition, papers involving experimentation, numerical simulations, or application should include introductory or discussion remarks on the theoretical explanations for the experimental results.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.233

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	36

Impact Factor

Year	Value
2024	0.60

Journal Rank

Year	Value
2024	19412

Journal Citation Indicator

Year	Value
2024	1089

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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, 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.

• A Complex Adaptive Systems Model of Organization Change

  Citation: 400

  Authors: Kevin J.

• Memory Across Eye-Movements: 1/f Dynamic in Visual Search

  Citation: 68

  Authors: Deborah J., Gregory J., Julien C.

• Dynamic Models of Simple Judgments: I. Properties of a Self-Regulating Accumulator Module

  Citation: 44

  Authors: Douglas, Michael D.

• Order and Pattern Formation in Psychotherapy

  Citation: 42

  Authors: Wolfgang, Christian, Klaus

• Sources of Complexity in Human Systems

  Citation: 42

  Authors: Lucio

• The Self as a Dynamical System

  Citation: 42

  Authors: Terry

• A Cusp Catastrophe Model for Adolescent Alcohol Use: An Empirical Test

  Citation: 34

  Authors: Scott

• A Framework and Methodology for the Study of Nonlinear, Self-Organizing Family Dynamics

  Citation: 33

  Authors: David

• Love Dynamics Between Secure Individuals: A Modeling Approach

  Citation: 33

  Authors: Sergio, Alessandra

• Nonlinear EEG Changes Associated with Clinical Improvement in Depressed Patients

  Citation: 32

  Authors: Nitza, Laurent, Jean-François, Bernard, Jacques

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