BioSystems

Aims & Scope

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.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	1.9
2024	2.00

SJR (SCImago Journal Rank)

Year	Value
2024	0.392

Quartile

Year	Value
2024	Q3

Journal Rank

Year	Value
2024	13992

Journal Citation Indicator

Year	Value
2024	832

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline
• Embase

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology, Engineering, Mathematics and Medicine, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Coevolutionary games—A mini review

  Citation: 1713

  Authors: Matjaž, Attila

• Ant colonies for the travelling salesman problem

  Citation: 1369

  Authors: Marco, Luca Maria

• Autopoiesis: The organization of living systems, its characterization and a model

  Citation: 1142

  Authors: F.G., H.R., R.

• CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks

  Citation: 902

  Authors: Yu, Min, Jianxin, Yi, Fang-Xiang

• Gene regulatory network inference: Data integration in dynamic models—A review

  Citation: 627

  Authors: Michael, Sandro, Susanne, Eugene, Reinhard

• The origin of land plants: A matter of mycotrophism

  Citation: 526

  Authors: K.A., D.W.

• Re-evaluating genetic algorithm performance under coordinate rotation of benchmark functions. A survey of some theoretical and practical aspects of genetic algorithms

  Citation: 419

  Authors: Ralf

• Biogenic magnetite as a basis for magnetic field detection in animals

  Citation: 350

  Authors: Joseph L., James L.

• Relationship between dilemma occurrence and the existence of a weakly dominant strategy in a two-player symmetric game

  Citation: 335

  Authors: Jun, Hiroki

• Eukaryote kingdoms: Seven or nine?

  Citation: 304

  Authors: T.

---