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Networks and Heterogeneous Media - American Institute of Mathematical Sciences | 2025 Impact Factor:1.7 | Cite Score:2.5 | SCOPUS Q2

Networks and Heterogeneous Media Journal

Impact Factor and Journal Rank of Networks and Heterogeneous Media

  • About: Networks and Heterogeneous Media (NHM) is a peer-reviewed journal that focuses on mathematical modeling, analysis, and applications of networks and heterogeneous media. It covers a wide range of topics including but not limited to the study of complex networks, heterogeneous materials, porous media, and their interactions. The journal aims to foster interdisciplinary research by bridging the gap between mathematics, physics, engineering, biology, and other related fields, thereby contributing to the understanding of complex systems and their behaviors.
  • Objective:
    The primary objective of Networks and Heterogeneous Media is to publish high-quality research that advances the mathematical and computational methodologies for analyzing networks and heterogeneous media. The journal seeks to provide a platform for researchers and practitioners to exchange ideas, present new findings, and discuss emerging trends in the field. By addressing theoretical developments, numerical methods, and real-world applications, NHM aims to facilitate innovations in modeling and understanding complex systems across various disciplines.
  • Interdisciplinary Approach:
    NHM adopts an interdisciplinary approach, welcoming contributions that integrate mathematical modeling, computational techniques, and empirical studies across different disciplines. The journal covers diverse topics such as network theory, graph theory, multiscale modeling, transport phenomena in porous media, and statistical mechanics of complex systems. This approach allows NHM to address fundamental questions about the structure, dynamics, and functionalities of networks and heterogeneous materials, fostering collaborations and advancing knowledge in these areas.
  • Impact:
    The impact of Networks and Heterogeneous Media is reflected in its contributions to both theoretical advancements and practical applications. By publishing innovative research articles and reviews, the journal influences the development of mathematical models, numerical methods, and analytical tools for studying complex systems. NHMs publications contribute to enhancing our understanding of network dynamics, transport processes in heterogeneous media, and the emergent behaviors of interconnected systems, thereby impacting fields ranging from materials science and biology to information technology and social networks.
  • Significance:
    Networks and Heterogeneous Media holds significant importance for researchers, engineers, and scientists interested in complex systems and their mathematical descriptions. The journals interdisciplinary nature facilitates cross-disciplinary collaborations and promotes the integration of diverse methodologies in studying networks and heterogeneous media. By fostering a community of researchers dedicated to advancing the field, NHM supports the development of novel approaches for addressing global challenges related to energy, environment, health, and technology. It serves as a valuable resource for researchers seeking to explore the interconnected nature of complex systems and develop predictive models that contribute to scientific advancements and societal impact.

  • Editor-in-Chief:  Seung-Yeal Ha

  • Scope: Networks and Heterogeneous Media is a peer-reviewed journal that focuses on the mathematical modeling, analysis, and applications of complex networks and heterogeneous media. It covers a wide range of interdisciplinary topics, including:
  • Network Theory:
    Mathematical modeling and analysis of complex networks, including social networks, biological networks, transportation networks, and communication networks.
  • Network Dynamics:
    Dynamics and evolution of networks, including studies on synchronization, spreading phenomena (such as epidemics and information diffusion), resilience, and robustness of networked systems.
  • Heterogeneous Media:
    Mathematical modeling and analysis of heterogeneous media, including porous media, composite materials, and other multi-phase or multi-scale materials.
  • Wave Propagation:
    Propagation of waves and signals in heterogeneous media, including studies on wave scattering, localization phenomena, and wave interaction with complex structures.
  • Statistical Mechanics of Networks:
    Applications of statistical mechanics principles to networked systems, including phase transitions, critical phenomena, and complex dynamics on networks.
  • Network Control and Optimization:
    Optimal control, optimization, and management of networked systems, including control of network dynamics, optimization of network structure, and resource allocation in heterogeneous environments.
  • Applications in Physics and Engineering:
    Applications of network and heterogeneous media theory in physics, engineering, materials science, geosciences, and other related disciplines.
  • Computational Methods:
    Numerical methods, simulation techniques, and computational algorithms for analyzing complex networks and heterogeneous media.
  • Experimental Studies:
    Experimental investigations and validation of mathematical models and theoretical predictions related to networks and heterogeneous media.
  • Interdisciplinary Approaches:
    Interdisciplinary research integrating concepts from mathematics, physics, engineering, biology, and other fields to study complex networks and heterogeneous media.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1556-1801

    Electronic ISSN:  1556-181X

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus

  • Imapct Factor 2025:  1.7

  • Subject Area and Category:   Computer Science, Computer Science Applications, Engineering, Engineering (miscellaneous), Mathematics, Applied Mathematics, Statistics and Probability

  • Publication Frequency:  

  • H Index:  43

  • Best Quartile:

    Q1:  

    Q2:   Applied Mathematics

    Q3:  

    Q4:  

  • Cite Score:  2.5

  • SNIP:  0.699

  • Journal Rank(SJR):  0.472