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Mathematical Modelling and Numerical Simulation with Applications - Mehmet Yavuz | 2024 Cite Score: 11.2 | Q1

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Mathematical Modelling and Numerical Simulation with Applications - Mehmet Yavuz | 2024 Cite Score: 11.2 | Q1

  • About this Journal:
  • An international, peer-reviewed journal focused on advanced mathematical modelling techniques and numerical simulation methods.Mathematical Modelling and Numerical Simulation with Applications (MMNSA) is an international research journal, which publishes top-level original research and review papers on mathematical modeling, theoretical analysis with applications, experimental observation, and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a proper venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and engineering.
  • Publishes high-quality research that develops, analyzes, and applies mathematical models to solve real-world scientific and engineering problems.MMNSA focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves interdisciplinary processes, and contributions in this area with numerical simulations are also encouraged. The scope of the journal is devoted to mathematical modelling with sufficiently advanced models, and the works studying mainly the existence and stability of stationary points of ODE systems without applications are not considered. The scope of the journal also includes applied mathematics and mathematical analysis in the context of its applications to real-world problems. The journal is essentially functioning on the basis of topical issues representing active areas of research. The authors are invited to submit papers to the announced issues or to suggest new issues.
  • Covers both theoretical developments and practical computational approaches that support modelling, simulation, and prediction across diverse application domains.
  • Welcomes contributions from mathematics, engineering, physics, computer science, computational sciences, and interdisciplinary fields involving modelling and simulation.

  • Editor-in-Chief:  Prof. Dr. Mehmet YAVUZ

  • Scope of the Journal:
  • Mathematical modelling of physical, biological, chemical, environmental, and industrial systems.
  • Numerical methods for differential equations, integral equations, and multiscale modelling.
  • Computational algorithms, simulation techniques, and numerical analysis.
  • Finite element, finite difference, finite volume, meshfree, and spectral methods.
  • Simulation of complex systems, nonlinear dynamics, stochastic processes, and uncertainty quantification.
  • Applications in fluid dynamics, heat and mass transfer, materials science, biomechanics, geoscience, and engineering systems.
  • High-performance computing (HPC), scientific computing tools, and large-scale simulation studies.
  • Data-driven modelling, machine-learning-assisted simulation, and hybrid computational approaches.
  • Latest Research Topics for PhD in Computer Science
  • Latest Research Topics for PhD in Machine Learning

  • Print ISSN:  27918564

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Computational Theory and Mathematics

  • Publication Frequency:  

  • H Index:  19

  • Best Quartile:

    Q1:  Computational Theory and Mathematics

    Q2:  

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  • Cite Score:  11.2

  • SNIP:  1.312

  • Journal Rank(SJR):  0.932