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Journal of Computational Technologies - Institute of Computational Technologies SB RAS | 2024 Cite Score:0.6 | Q4

Journal of Computational Technologies With Cite Score

Cite Score and Journal Rank of Journal of Computational Technologies

  • About: Journal of Computational Technologies is a peer-reviewed journal dedicated to the exploration and development of computational technologies and their applications across various scientific and engineering disciplines.
  • Objective: The Journal of Computational Technologies aims to publish high-quality research that advances the field of computational technologies. This includes studies on computational methods, algorithms, software development, and their application in solving complex problems. The journal covers a broad range of topics such as computational modeling, simulation, data analysis, machine learning, and artificial intelligence. It seeks to provide a platform for researchers to present their innovative work and contribute to the evolution of computational techniques and tools.
  • Impact and Audience: The journal targets researchers, academics, and professionals in fields where computational technologies play a crucial role. By showcasing significant advancements and applications in computational methods, the Journal of Computational Technologies supports the development and dissemination of cutting-edge research. Its impact is evident in its contribution to the advancement of computational practices and its role in bridging the gap between theoretical research and practical application.

  • Editor-in-Chief:  Academician RAS Yuriy I. Shokin

  • Scope: Journal of Computational Technologies is dedicated to advancing the field of computational technologies through the publication of high-quality research. It covers a broad spectrum of topics related to computational methods, tools, and applications.
    1. Computational Methods: Advances in algorithms, numerical methods, and computational techniques used for solving complex scientific and engineering problems.
  • 2. High-Performance Computing: Research on parallel and distributed computing, supercomputing, and optimization of computational resources for large-scale simulations and data analysis.
  • 3. Computational Modeling and Simulation: Studies focused on developing and applying computational models to simulate physical, biological, and social systems.
  • 4. Data Science and Analytics: Articles on techniques for managing, analyzing, and interpreting large datasets, including machine learning, data mining, and statistical analysis.
  • 5. Computational Intelligence: Research on artificial intelligence, neural networks, fuzzy systems, and evolutionary algorithms applied to various domains.
  • 6. Software Engineering: Studies related to the development, testing, and maintenance of software systems, including methodologies and tools for effective software engineering practices.
  • 7. Computational Physics and Chemistry: Research on computational approaches to problems in physics and chemistry, including quantum simulations and molecular dynamics.
  • 8. Computational Biology and Bioinformatics: Articles on computational techniques for analyzing biological data, modeling biological systems, and understanding genetic and molecular processes.
  • 9. Computational Finance: Studies on the application of computational methods to financial modeling, risk analysis, and investment strategies.
  • 10. Computational Engineering: Research on the application of computational technologies in engineering fields, including structural analysis, fluid dynamics, and materials science.
  • 11. Computational Science Education: Articles focused on teaching and learning computational science, including curriculum development and innovative educational practices.
  • 12. Applications in Industry: Research on practical applications of computational technologies in various industries, such as manufacturing, healthcare, and telecommunications.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  15607534

    Electronic ISSN:  2313691X

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science, Computational Theory and Mathematics, Computer Networks and Communications, Software, Mathematics, Applied Mathematics, Computational Mathematics, Numerical Analysis

  • Publication Frequency:  

  • H Index:  5

  • Best Quartile:

    Q1:  

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    Q4:  Applied Mathematics

  • Cite Score:  0.6

  • SNIP:  0.346

  • Journal Rank(SJR):  0.196