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Journal of Multiscale Modeling - World Scientific | 2024 Impact Factor:0.9 | Cite Score:2.1 | Q4

Journal of Multiscale Modeling With Cite Score

Cite Score and Journal Rank of Journal of Multiscale Modeling

  • About: The Journal of Multiscale Modeling publishes original research articles, technical papers, and reviews on topics related to multiscale modeling. This includes areas such as the development and application of models that span multiple scales, from microscopic to macroscopic levels, in fields like materials science, biology, chemistry, and physics. The journal aims to advance the understanding and implementation of multiscale modeling techniques to address complex problems that cannot be effectively tackled by single-scale approaches.
  • Objective
    The primary objective of the journal is to provide a platform for high-quality research and scholarly discussion on multiscale modeling methods and their applications. It seeks to promote the development of innovative modeling techniques, support the practical implementation of these methods in various fields, and enhance the theoretical and empirical understanding of multiscale approaches.
  • Interdisciplinary Approach
    Journal of Multiscale Modeling adopts an interdisciplinary approach, recognizing that multiscale modeling often intersects with fields such as computational science, engineering, and applied mathematics. The journal encourages contributions that integrate these diverse perspectives to address complex problems and develop comprehensive solutions that span multiple scales.
  • Impact and Significance
    The journal has a significant impact on the multiscale modeling community by providing valuable insights and practical recommendations for researchers, practitioners, and technologists. Its influence is reflected in its ability to shape research directions, drive advancements in multiscale modeling techniques, and contribute to the development of more effective and accurate models for complex systems. Journal of Multiscale Modeling plays a crucial role in advancing knowledge and practice in these specialized areas.

  • Editor-in-Chief:  M H Aliabadi

  • Scope: The Journal of Multiscale Modeling focuses on the development and application of multiscale modeling techniques across various scientific and engineering disciplines. It provides a platform for research that bridges different scales of modeling, from atomic and molecular levels to macroscopic systems.
  • Multiscale Modeling Techniques:
    Research on methodologies for integrating models across different scales
    Innovations in techniques for coupling and bridging micro-, meso-, and macroscopic models
    Case studies demonstrating the application of multiscale modeling in various fields
    Trends in the development of new multiscale modeling techniques
    Future directions for advancing multiscale modeling methodologies
  • Applications in Materials Science:
    Research on the application of multiscale modeling to materials science
    Developments in modeling materials properties and behaviors from atomic to macroscopic scales
    Case studies on the use of multiscale modeling for material design, characterization, and optimization
    Trends in the application of multiscale modeling to materials science challenges
    Future directions for materials science research using multiscale approaches
  • Applications in Biological Systems:
    Research on the application of multiscale modeling to biological systems
    Innovations in modeling biological processes and structures from molecular to organismal levels
    Case studies demonstrating the impact of multiscale modeling on understanding and simulating biological phenomena
    Trends in the application of multiscale modeling to biomedical research and healthcare
    Future directions for advancing multiscale modeling in biological systems
  • Computational Methods and Tools:
    Research on computational methods and tools for multiscale modeling
    Developments in software, algorithms, and computational frameworks for multiscale simulations
    Case studies showcasing the use of computational tools in multiscale modeling projects
    Trends in the development and enhancement of computational methods for multiscale modeling
    Future directions for advancing computational tools and techniques
  • Model Validation and Verification:
    Research on methods for validating and verifying multiscale models
    Innovations in techniques for ensuring accuracy and reliability of multiscale simulations
    Case studies on challenges and solutions in validating multiscale models
    Trends in model validation practices and their impact on multiscale modeling
    Future directions for improving validation and verification processes
  • Applications in Environmental Science:
    Research on the application of multiscale modeling to environmental science
    Developments in modeling environmental processes and phenomena across different scales
    Case studies on the use of multiscale modeling for environmental prediction, management, and policy
    Trends in the application of multiscale modeling to environmental challenges
    Future directions for environmental research using multiscale approaches
  • Educational Resources and Training:
    Research on educational strategies and resources for teaching multiscale modeling
    Innovations in curriculum design, training programs, and professional development
    Case studies on effective educational practices and their impact on learning multiscale modeling
    Trends in the evolution of education and training in multiscale modeling
    Future directions for enhancing educational and training opportunities
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  17569737

    Electronic ISSN:   17569745

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  0.9

  • Subject Area and Category:   Computer Science, Computer Science Applications, Mathematics, Modeling and Simulation

  • Publication Frequency:  

  • H Index:  12

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Computer Science Applications

  • Cite Score:  2.1

  • SNIP:  0.383

  • Journal Rank(SJR):  0.244