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International Journal of Computational Methods and Experimental Measurements - WITPress | 2024 Cite Score:1.7 | Q3

International Journal of Computational Methods and Experimental Measurements With Cite Score

Cite Score and Journal Rank of International Journal of Computational Methods and Experimental Measurements

  • About: The International Journal of Computational Methods and Experimental Measurements is a peer-reviewed academic journal focused on the development and application of computational methods and experimental techniques across various scientific and engineering disciplines. The journal aims to bridge the gap between computational models and experimental data, providing a comprehensive platform for research that integrates both approaches.
  • Objective
    The primary objective of the journal is to advance knowledge and application in the fields of computational methods and experimental measurements. It seeks to publish high-quality research that combines computational modeling with experimental validation, offering insights that contribute to the understanding and solving of complex problems in science and engineering.
  • Topics Covered
    The International Journal of Computational Methods and Experimental Measurements covers a diverse range of topics, including but not limited to: Numerical methods and algorithms Computational fluid dynamics and heat transfer Structural and mechanical analysis Experimental design and data analysis Measurement techniques and instrumentation Simulation and modeling of physical phenomena Multiscale and multiphysics modeling Applications in various fields such as aerospace, civil engineering, and materials science
  • Interdisciplinary Approach
    The journal promotes an interdisciplinary approach by encouraging research that integrates computational methods with experimental techniques. It welcomes studies that explore connections between different scientific and engineering disciplines, fostering a comprehensive understanding of complex systems and phenomena.
  • Impact and Significance
    International Journal of Computational Methods and Experimental Measurements has a significant impact on the research community by advancing the integration of computational and experimental approaches. Its publications contribute to the development of new methodologies, models, and techniques that enhance the accuracy and reliability of scientific and engineering analyses. The journal serves as a valuable resource for researchers and practitioners seeking to bridge theoretical and practical aspects of their work.
  • Submission and Review Process
    The journal follows a rigorous peer-review process to ensure the quality and relevance of submitted articles. Researchers are invited to submit original research papers that align with the journals focus. The open-access model ensures that all published content is freely accessible to the global research community, enhancing the dissemination and impact of the research.

  • Editor-in-Chief:  Giovanni Maria Carlomagno,Santiago Hernandez

  • Scope: The International Journal of Computational Methods and Experimental Measurements focuses on bridging the gap between computational methods and experimental measurements across various scientific and engineering disciplines. The journal provides a platform for high-quality research that integrates computational techniques with experimental validation to address complex problems and advance understanding in multiple fields.
  • Scope and Areas of Interest:
    Computational Methods:
    Numerical Analysis: Research on numerical algorithms, methods for solving differential equations, and approximation techniques.
  • Simulation Techniques: Studies on simulation methods for modeling physical systems, including finite element analysis, computational fluid dynamics, and discrete element methods.
  • Computational Mechanics: Exploration of computational methods in solid mechanics, structural analysis, and dynamics.
  • Experimental Measurements:
    Instrumentation and Measurement Techniques: Research on the development and application of experimental instruments and measurement techniques for various physical properties.
  • Data Acquisition and Analysis: Studies on techniques for collecting, processing, and analyzing experimental data.
  • Validation and Verification: Exploration of methods for validating and verifying computational models against experimental data.
  • Interdisciplinary Research:
    Engineering Applications: Research on the application of computational methods and experimental measurements in engineering fields such as aerospace, mechanical, civil, and chemical engineering.
  • Scientific Research: Studies on the application of computational and experimental techniques in scientific research, including physics, chemistry, biology, and environmental science.
  • Healthcare and Medicine: Exploration of computational and experimental methods in medical research, including imaging, biomechanics, and medical device development.
  • Methodological Innovations:
    New Computational Algorithms: Research on innovative algorithms and techniques for improving computational efficiency and accuracy.
  • Advanced Measurement Technologies: Studies on the development and application of advanced measurement technologies and methodologies.
  • Integration Techniques: Exploration of methods for integrating computational models with experimental measurements to enhance understanding and problem-solving capabilities.
  • Application Areas:
    Structural Engineering: Research on the application of computational and experimental methods to the analysis and design of structures.
  • Fluid Dynamics: Studies on the use of computational and experimental techniques to investigate fluid flow and related phenomena.
  • Material Science: Exploration of methods for studying material properties, behavior, and performance through computational and experimental approaches.
  • Research Directions:
    Emerging Trends: Research on emerging trends in computational methods and experimental measurements, including new technologies and interdisciplinary applications.
  • Collaborative Research: Studies that promote collaboration between computational scientists and experimental researchers to address complex problems and advance knowledge.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  20460546

    Electronic ISSN:   20460554

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science, Computer Science Applications, Engineering, Computational Mechanics, Mathematics, Applied Mathematics, Computational Mathematics, Modeling and Simulation

  • Publication Frequency:  

  • H Index:  13

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Applied Mathematics

    Q4:  

  • Cite Score:  1.7

  • SNIP:  0.432

  • Journal Rank(SJR):  0.215