Journal of Complex Networks

Aims & Scope

Journal of Complex Networks publishes original articles and reviews with a significant contribution to the analysis and understanding of complex networks and its applications in diverse fields.

Complex networks are loosely defined as networks with nontrivial topology and dynamics, which appear as the skeletons of complex systems in the real-world.

The journal covers everything from the basic mathematical, physical and computational principles needed for studying complex networks to their applications leading to predictive models in molecular, biological, ecological, informational, engineering, social, technological and other systems.

It includes, but is not limited to, the following topics: - Mathematical and numerical analysis of networks - Network theory and computer sciences - Structural analysis of networks - Dynamics on networks - Physical models on networks - Networks and epidemiology - Social, socio-economic and political networks - Ecological networks - Technological and infrastructural networks - Brain and tissue networks - Biological and molecular networks - Spatial networks - Techno-social networks i.e. online social networks, social networking sites, social media - Other applications of networks - Evolving networks - Multilayer networks - Game theory on networks - Biomedicine related networks - Animal social networks - Climate networks - Cognitive, language and informational network.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.5
2024	2.20

Journal Rank

Year	Value
2024	11063

Journal Citation Indicator

Year	Value
2024	439

SJR (SCImago Journal Rank)

Year	Value
2024	0.525

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	33

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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

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.

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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.

• Multilayer networks

  Citation: 2671

  Authors: M., A., M., J. P., Y., M. A.

• Multi-Scale attributed node embedding

  Citation: 361

  Authors: Benedek, Carl, Rik

• Structure and dynamics of core/periphery networks

  Citation: 325

  Authors: P., A., L.-Y., B.

• MuxViz: a tool for multilayer analysis and visualization of networks

  Citation: 302

  Authors: M., M. A., A.

• Learning latent block structure in weighted networks

  Citation: 212

  Authors: C., A. Z., A.

• Assortativity in complex networks

  Citation: 206

  Authors: Rogier, Piet

• Network analysis of particles and grains

  Citation: 155

  Authors: Lia, Mason A, Karen E, Danielle S

• Total communicability as a centrality measure

  Citation: 146

  Authors: M., C.

• Cascading behaviour in complex socio-technical networks

  Citation: 108

  Authors: J., R. A., S., Y.

• Smart rewiring for network robustness

  Citation: 86

  Authors: V. H. P., F., H. J., M.

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