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Mathematical and Computer Modelling of Dynamical Systems - Taylor and Francis | 2024 Impact Factor:1.8 | Cite Score:4.1 | Q3

Mathematical and Computer Modelling of Dynamical Systems Journal

Impact Factor and Journal Rank of Mathematical and Computer Modelling of Dynamical Systems

  • About: Mathematical and Computer Modelling of Dynamical Systems (MCMDS) provides an international, high-quality forum for the presentation of new ideas and approaches in the derivation, simplification, and validation of models and sub-models relevant to complex dynamical systems. The journal publishes high-quality international research that introduces innovative methodologies and validates models applicable to real-world dynamical systems.
  • Impact and Significance
    Mathematical and Computer Modelling of Dynamical Systems (MCMDS) plays a crucial role in:
  • Advancing Methodologies: Introducing new methodologies and approaches in the derivation and validation of dynamic system models.
    Interdisciplinary Research: Bridging theoretical developments with practical applications in various scientific and engineering disciplines.
    Validation and Verification: Providing rigorous validation and verification processes for model reliability and applicability.
    Computational Advances: Highlighting computational techniques and numerical methods for dynamic system simulations.
    Real-World Applications: Addressing challenges in real-world complex systems through innovative modelling approaches.
  • Types of Contributions Accepted
    Mathematical and Computer Modelling of Dynamical Systems (MCMDS) welcomes the following types of contributions:
  • Research Articles: Original research presenting significant advancements in the modelling of dynamical systems.
    Review Articles: Comprehensive reviews that synthesize current literature and propose future research directions.
    Methodological Papers: Contributions focusing on novel methodologies and approaches in model derivation.
    Simulation Studies: Application of models to simulate and analyze dynamic system behaviors.
    Case Studies: Real-world applications demonstrating the effectiveness of model validation and application.

  • Editor-in-Chief:  Wolfgang Kemmetmüller

  • Scope: Mathematical and Computer Modelling of Dynamical Systems (MCMDS) provides an international, high-quality forum for the presentation of new ideas and approaches in the derivation, simplification, and validation of models and sub-models relevant to complex (real-world) dynamical systems. The journal publishes high-quality international research that:
  • New Ideas and Approaches: Presents innovative methodologies and approaches in modeling dynamical systems.
  • Model Derivation: Advances in deriving complex models and sub-models.
  • Model Simplification: Techniques for simplifying models while maintaining their relevance and accuracy.
  • Model Validation: Methods and studies validating the accuracy and applicability of models.
  • Complex Dynamical Systems: Focuses on models applicable to real-world dynamical systems.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1387-3954

    Electronic ISSN:  1744-5051

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus.

  • Imapct Factor 2024:  1.8

  • Subject Area and Category:  Mathematics, Computer Sciences, Industrial Engineering

  • Publication Frequency:  Bimonthly

  • H Index:  39

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Applied Mathematics

    Q4:  

  • Cite Score:  4.1

  • SNIP:  1.295

  • Journal Rank(SJR):  0.419