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Journal of Scientific Computing - Springer Nature | 2024 Impact Factor:3.3 | Cite Score:4.8 | Q1

Journal of Scientific Computing

Impact Factor and Journal Rank of Scientific Computing

  • About: The Journal of Scientific Computing is a peer-reviewed journal that publishes high-quality research articles on numerical methods and their applications in science and engineering. It serves as a platform for the dissemination of significant advancements in the field of computational science, covering a broad spectrum of topics related to scientific computing and numerical analysis.
  • Significance:
    Advancing Computational Methods: The Journal of Scientific Computing plays a pivotal role in the development and refinement of numerical methods and algorithms. By publishing cutting-edge research, the journal contributes to the enhancement of computational techniques that solve complex scientific and engineering problems, fostering innovation in various disciplines.
  • Multidisciplinary Applications: The journal addresses the computational needs of a wide range of scientific fields, including physics, chemistry, biology, engineering, and applied mathematics. This multidisciplinary approach ensures that the research findings have broad applicability and can be utilized to tackle diverse scientific challenges.
  • High-Quality Research: The rigorous peer-review process of the Journal of Scientific Computing ensures the publication of high-quality research that makes significant contributions to the field. The journal attracts leading researchers and practitioners, making it a reputable source of authoritative information on scientific computing.
  • Educational Resource: In addition to serving researchers and practitioners, the journal is a valuable educational resource. It provides insights into the latest computational methods and their applications, making it an essential reference for students, educators, and professionals seeking to deepen their understanding of scientific computing.
  • Submission Guidelines:
    Types of Contributions: The journal welcomes original research articles, review papers, and methodological studies that contribute to the theory and application of numerical methods in scientific computing. Manuscripts should present significant new results, either theoretical or applied, and must demonstrate their relevance to the field.
  • Manuscript Requirements: Authors are encouraged to provide detailed mathematical derivations, algorithmic developments, and comprehensive computational results. The journal emphasizes the importance of clear and precise communication of ideas, methods, and findings.
  • Impact and Contributions:
    The Journal of Scientific Computing has a profound impact on both the theoretical foundations and practical applications of scientific computing. By publishing groundbreaking research, the journal fosters innovation and drives progress in developing efficient and accurate numerical methods. Its contributions enhance the ability of scientists and engineers to model, simulate, and solve complex problems across various scientific domains.

  • Editor-in-Chief:  Chi Wang Shu

  • Scope: The Journal of Scientific Computing is a peer-reviewed publication dedicated to the development and application of computational techniques in various scientific and engineering disciplines. The journal aims to bridge the gap between theoretical research and practical applications in scientific computing, providing a forum for the exchange of ideas and advancements in computational methods and their implementations.
  • Topics Covered:
    Theoretical and Algorithmic Developments: Innovations in numerical methods, algorithms, and computational techniques for solving scientific and engineering problems.
  • Applications in Science and Engineering: Application-oriented research in areas such as fluid dynamics, solid mechanics, electromagnetics, and quantum mechanics, among others.
  • Computational Mathematics: Research on the mathematical foundations of computational methods, including convergence analysis, stability, and accuracy of numerical algorithms.
  • Software Development and Implementation: Development and testing of software tools and libraries for scientific computing, with a focus on performance, scalability, and usability.
  • Parallel and High-Performance Computing: Advances in parallel computing, distributed computing, and high-performance computing techniques for large-scale simulations and data analysis.
  • Data-Driven and Machine Learning Approaches: Integration of machine learning, data science, and statistical methods with traditional computational techniques to enhance modeling, simulation, and optimization.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  08857474

    Electronic ISSN:   15737691

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  3.3

  • Subject Area and Category:  Computer Science,Computational Theory and Mathematics,Software, Engineering,Engineering (miscellaneous), Mathematics,Applied Mathematics ,Computational Mathematics,Numerical Analysis,Theoretical Computer Science

  • Publication Frequency:  

  • H Index:  96

  • Best Quartile:

    Q1:  Applied Mathematics

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  4.8

  • SNIP:  1.475

  • Journal Rank(SJR):  1.348