Cover image for Vol. 21 Issue S2

Edited By: Peter Schuster and Alfred W. Hubler

Impact Factor: 3.514

ISI Journal Citation Reports © Ranking: 2015: 5/101 (Mathematics Interdisciplinary Applications); 10/63 (Multidisciplinary Sciences)

Online ISSN: 1099-0526


Aims and Scope

Effective with the 2011 volume, this journal will be published in an online-only format.

Complexity is a bi-monthly, cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like "chaos," "self-organization," and "emergence" that are often used in completely different ways in science and in daily life.


Mathematicians · physicists · computer scientists · biologists · engineers · economists · social scientists


complex adaptive systems, chaos research, neural networks, evolutionary game theory, genetic algorithms, time series analysis, symbolic dynamics, fractals, robustness, quantum computing, population dynamics, collective behavior, journal, online journal, Wiley Online Library

Abstracting and Indexing Information

  • ACM Digital Library (ACM)
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  • CompuMath Citation Index (Thomson Reuters)
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  • Computer Science Index (EBSCO Publishing)
  • Current Index to Statistics (ASA/IMS)
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  • Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS)
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  • SCOPUS (Elsevier)
  • The DBLP Computer Science Bibliography (University of Trier)
  • Web of Science (Thomson Reuters)