BioSystems

BioSystems - ISSN 0303-2647
Source Normalized Impact per Paper (SNIP): 0.783 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 0.515 SCImago Journal Rank (SJR):
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.
Impact Factor: 1.808 (2019) Impact Factor:
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)
5 Year Impact Factor: 1.714 (2019) Five-Year Impact Factor:
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)
Volumes: Volumes 199-210
Issues: 1 issue
ISSN: 03032647
Editor-in-Chief: Igamberdiev

Personal Subscription

Sales tax will be calculated at check-out Price includes VAT/GST

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Description

BioSystems encourages theoretical, computational and experimental articles that link biology, evolutionary concepts, and the information processing sciences. The journal is dedicated to developing the consequences of the discoveries of biological information and of the genetic code - with the view of obtaining a better understanding of the origins and evolution of biological organization, biological adaptability, and the origin of mind and language.


The scope of the journal encompasses the fundamental nature of biological information processing. This includes quantum phenomena in information transfer, natural computing, biological coding systems, biological complexity, theoretical biology, artificial life, computational modeling of complex biological systems, evolutionary models of computation, application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.


The journal does not publish purely medical, computational, or ecological research, unless it is clearly linked to the basic and conceptual aspects of biological organization.


The editors encourage articles that deal, in particular, with the following topics:


  • Biological computation
  • Molecular recognition
  • Physical foundations of biology
  • Quantum phenomena in biological systems
  • Cellular control
  • Neuromolecular computing
  • Biological coding systems
  • Molecular computing processes
  • Self-organizing and self-replicating systems
  • Origins and evolution of the genetic mechanism
  • Stochastic evolutionary algorithms
  • Origins and evolution of mind and language
  • Simulation of genetic and ecological systems
  • Applications (neural nets, machine learning, robotics)