Journals in Biomathematics

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BioSystems

• ISSN: 0303-2647
• 5 Year impact factor: 1.8
• Impact factor: 2

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 computationMolecular recognitionPhysical foundations of biologyQuantum phenomena in biological systemsCellular controlNeuromolecular computingBiological coding systemsMolecular computing processesSelf-organizing and self-replicating systemsOrigins and evolution of the genetic mechanismStochastic evolutionary algorithmsOrigins and evolution of mind and languageSimulation of genetic and ecological systemsApplications (neural nets, machine learning, robotics)In addition, the editors encourage the following types of papers for submission: Papers that extract novel biological insights from multidimensional data using AI-driven language modelsBiological hypothesis papers producing new insights based on a body of pre-existing empirical research

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Ecological Complexity

• ISSN: 1476-945X
• 5 Year impact factor: 2.7
• Impact factor: 3.1

An International Journal on Biocomplexity in the Environment and Theoretical EcologyEcological Complexity is an international journal devoted to publishing high-quality, peer-reviewed articles on the complex nature of ecological systems, observed and theoretical and special issues on related and emerging topics. In addition to ecological questions, the journal welcomes papers that ask ecological questions by linking natural and social processes at various spatio-temporal scales.Ecological Complexity will publish research into the following areas: • Ecosystems and the biosphere as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and dynamics across scales), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Approaches to complex systems for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexityThe papers that should appear in this journal are characterized by: • Biocomplexity related to the environment and vice versa • Inter disciplinarity (e.g. biology, ecology, environmental science, mathematics, modelling) • Integration of natural and social processes (esp. over time)

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Mathematical Biosciences

• ISSN: 0025-5564
• 5 Year impact factor: 2.3
• Impact factor: 1.9

Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.

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