Dynamic Games and Applications is devoted to the development of all classes of dynamic games, namely, differential games, discrete-time dynamic games, evolutionary games, repeated and stochastic games, and their applications in all fields, including:
* biology
* computer science
* ecology
* economics
* engineering
* management science
* operations research
* political science
* psychology

DGAA seeks original research that makes significant methodological, conceptual, algorithmic, or empirical contributions to various disciplines. DGAA also considers work in static game theory and dynamic optimization provided that authors establish a clear, potential link to dynamic games. DGAA publishes regular papers, technical notes, survey articles, and case studies.

All submissions should be original in nature. During the peer review process, to promote scientific honesty and high standards, submitted manuscripts go through one or more revision stages leading up to acceptance or rejection. Each paper is reviewed by at least two experts in the field.

  • The first journal dedicated to the development and application of dynamic games
  • Promotes cross-fertilization among interdisciplinary fields
  • Coverage is on applications to economics and management science, biology and ecology, computer science and networked-based areas including telecommunications, transportation, and energy
  • Free app available on iTunes and Google Play Store

Journal information

  • Georges Zaccour
Publishing model
Hybrid. Learn about publishing OA with us

Journal metrics

1.253 (2019)
Impact factor
1.448 (2019)
Five year impact factor
65 days
Submission to first decision
234 days
Submission to acceptance
28,831 (2019)

Latest issue

Volume 10

Issue 3, September 2020

Special Issue on Evolutionary Games in Memory of Chris Cannings

Latest articles

This journal has 52 open access articles

Journal updates

  • Call for Papers: Special Issue on Dynamic Games and Social Networks

    Dynamic games offer a natural paradigm to study strategic interactions of decision-makers in a social network, which typically involves an articulated interaction structure. Depending on the phenomenon under consideration, the behavior resulting from the interactions and the shape of the network structure may or may not affect each other, possibly giving rise to articulated dynamics.

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