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Journal of Complex Networks - Oxford University Press | 2024 Impact Factor:1.5 | Cite Score:5.0 | Q2

Journal of Complex Networks - Oxford University Press

Impact Factor and Journal Rank of Journal of Complex Networks

  • About: Journal of Complex Networks is a peer-reviewed journal that publishes high-quality research on the structure and dynamics of complex networks. The journal focuses on the theoretical, empirical, and computational aspects of complex networks, including their applications in a variety of fields such as biology, computer science, social sciences, and physics. It serves as a key platform for researchers to share significant findings and advancements in the understanding of complex network behavior.
  • Impact and Significance
  • Journal of Complex Networks is significant for several reasons:
  • Advancing Knowledge: The journal contributes to the advancement of network science by publishing cutting-edge research that enhances our understanding of complex networks.
    Interdisciplinary Research: It fosters interdisciplinary collaboration by integrating insights from various fields such as physics, biology, computer science, and social sciences.
    Innovative Methods: The journal highlights innovative methods and tools for analyzing and modeling complex networks.
    Practical Applications: It facilitates the application of network theory to solve real-world problems in diverse domains such as healthcare, finance, and communication.
    Global Reach: The journal provides a platform for researchers worldwide to share their findings, promoting international collaboration and knowledge exchange.
  • Types of Articles Accepted
  • Journal of Complex Networks accepts a variety of submission types, including:
  • Research Articles: Original research articles presenting new findings and advancements in the study of complex networks.
    Review Articles: Comprehensive reviews of the current state of research on specific topics related to complex networks.
    Short Reports: Brief reports on novel findings or preliminary research in the field.
    Methodological Papers: Articles focusing on the development and validation of new methods for analyzing complex networks.
    Case Studies: Studies demonstrating the application of network theory to specific real-world problems.
    Opinion Pieces: Short articles offering perspectives on current issues and trends in network science.

  • Editor-in-Chief:  Ernesto Estrada

  • Scope: Journal of Complex Networks is a peer-reviewed journal that publishes high-quality research articles, reviews, and theoretical papers on the study of complex networks. It aims to provide a forum for the dissemination of significant advances in the field, spanning both fundamental and applied research. The journal covers a broad range of topics within the field of complex networks, including but not limited to:
  • Network Theory: Research on the mathematical and theoretical foundations of complex networks, including graph theory and statistical mechanics.
  • Network Dynamics: Studies on the dynamic behavior of complex networks, including network growth, evolution, and the spread of information or diseases.
  • Network Topology and Structure: Research on the structural properties of networks, such as degree distributions, clustering, assortativity, and community structure.
  • Multilayer and Interconnected Networks: Studies on networks with multiple types of connections or interactions, including multiplex networks and interdependent networks.
  • Biological Networks: Research on networks in biological systems, such as neural networks, genetic networks, and ecological networks.
  • Social Networks: Studies on the structure and dynamics of social networks, including online social media, collaboration networks, and diffusion of innovations.
  • Technological Networks: Research on networks in technological systems, such as the internet, transportation networks, and power grids.
  • Economic and Financial Networks: Studies on networks in economic and financial systems, including trade networks, financial markets, and corporate networks.
  • Data Analysis and Network Visualization: Research on methods for analyzing network data and visualizing network structures and dynamics.
  • Applications of Complex Networks: Studies on the application of network theory to solve real-world problems in various domains, including biology, sociology, engineering, and economics.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  20511310

    Electronic ISSN:   20511329

  • Abstracting and Indexing:  SCOPUS, Science Citation Index Expanded

  • Imapct Factor 2024:  1.5

  • Subject Area and Category:   Computer Science, Computer Networks and Communications, Decision Sciences, Management Science and Operations Research, Mathematics, Applied Mathematics, Computational Mathematics, Control and Optimization

  • Publication Frequency:  

  • H Index:  33

  • Best Quartile:

    Q1:  

    Q2:  Applied Mathematics

    Q3:  

    Q4:  

  • Cite Score:  5.0

  • SNIP:  1.353

  • Journal Rank(SJR):  0.525