Chaos, Solitons & Fractals
An interdisciplinary journal of nonlinear science
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
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Description
Chaos, Solitons & Fractals has an open access mirror journal Chaos, Solitons & Fractals: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
Chaos, Solitons & Fractals aims to be a leading journal in the interdisciplinary field of Nonlinear Science. It encourages the submission of articles concerning the fundamentals of the following subjects: dynamics; non-equilibrium processes in physics; complex matter and networks; computational biology; fluctuations and random processes; self-organization; social phenomena; technology.
The journal can only accept papers whose primary subject area lies within the above Aims & Scope. In particular, please take notice of the following:
- In order to be acceptable, manuscripts of more mathematical nature should at least attempt a connection to physical insight or new qualitative features. The word "Solitons" should be understood as a label especially extended to all nonlinear integrable systems in complex natural phenomena. The paper should not bear on some explicit formulae, some standard solutions, constructions, or asymptotic methods.
- The journal is interested in articles providing strong insights in the mathematical theory of fractals that play an important role either in understanding the general theory or are profound for an important particular application, especially in complex systems. Numerical computations should only assist the developed results. Also welcome are the discovery of new fractals that are crucial for important applications.
Authors are encouraged to link to their data posted in a repository or uploaded to Mendeley Data.
Authors can submit separate research elements describing their data to Data in Brief and software to Software X.