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Computer Research and Modeling - Institute of Computer Science | 2024 Cite Score:0.8 | Q4

Computer Research and Modeling Journal With Cite Score

Cite Score and Journal Rank of Computer Research and Modeling

  • About: The Computer Research and Modeling journal is a peer-reviewed academic publication focused on advancing the field of computer science through research and modeling. It covers a wide range of topics within computer science, including but not limited to computational models, algorithms, software engineering, and applications of computer technology in various domains. The journal aims to publish high-quality research that contributes to the theoretical and practical advancements in computer science.
  • Objective:
    The primary objective of Computer Research and Modeling is to promote and disseminate significant research findings in the field of computer science. The journal seeks to provide a platform for innovative research that addresses current challenges and explores new possibilities in computational modeling, algorithm design, and application development. It aims to facilitate knowledge exchange and collaboration among researchers, practitioners, and educators in the field of computer science.
  • Interdisciplinary Approach:
    Computer Research and Modeling embraces an interdisciplinary approach by incorporating research from various areas related to computer science and its applications. This includes areas such as computational theory, software engineering, machine learning, data science, and system modeling. The journal encourages contributions that bridge these disciplines to develop comprehensive solutions and new insights into complex computational problems.
  • Impact:
    The journal has a significant impact on both academic research and practical applications in the field of computer science. Computer Research and Modeling is widely cited by researchers and practitioners who are engaged in the development and application of computational models and algorithms. The research published in the journal contributes to the advancement of knowledge, tools, and techniques in computer science.
  • Significance:
    The Computer Research and Modeling journal plays a crucial role in advancing the field of computer science by providing a platform for high-quality research and innovative modeling techniques. Its focus on interdisciplinary research and practical applications makes it a valuable resource for scholars, practitioners, and industry professionals seeking to explore and address complex computational challenges.

  • Editor-in-Chief:  Galina Yu. Riznichenko

  • Scope: The Computer Research and Modeling journal focuses on advancing the field of computer science through research and development in computational models, simulations, and computational methodologies. The journal publishes high-quality papers that explore theoretical and practical aspects of computer research and modeling, addressing various challenges and innovations in the field. The scope of the journal includes, but is not limited to, the following areas:
  • Computational Models: Development and analysis of computational models for simulating complex systems, including mathematical models, agent-based models, and system dynamics models.
  • Simulation Techniques: Research on simulation methods and tools, including discrete-event simulation, Monte Carlo simulation, and parallel and distributed simulations.
  • Computer Algorithms: Design and analysis of algorithms for solving computational problems, including optimization algorithms, numerical methods, and heuristic approaches.
  • Computational Intelligence: Studies on intelligent systems and techniques, including machine learning, neural networks, fuzzy systems, and evolutionary algorithms.
  • Data Modeling and Analysis: Research on methods for modeling and analyzing data, including statistical modeling, data mining, and big data analytics.
  • High-Performance Computing: Development and application of high-performance computing techniques and architectures, including parallel computing, GPU computing, and cloud computing.
  • Software Engineering: Research on software development methodologies, including software design, testing, and verification, with a focus on modeling and simulation applications.
  • Computational Theories: Exploration of theoretical aspects of computation, including computational complexity, automata theory, and formal languages.
  • Computer Graphics and Visualization: Studies on techniques for computer graphics and visualization, including 3D modeling, rendering, and visual data representation.
  • Cyber-Physical Systems: Research on the integration of computational models with physical systems, including robotics, IoT, and embedded systems.
  • Distributed Systems and Networks: Research on modeling and analysis of distributed systems and networks, including network protocols, resource management, and network security.
  • Computational Mathematics: Application of mathematical techniques to solve computational problems, including numerical analysis, optimization, and algorithmic mathematics.
  • Human-Computer Interaction: Research on models and techniques for improving interaction between humans and computers, including user interface design and usability testing.
  • Computational Physics and Chemistry: Application of computational methods to problems in physics and chemistry, including molecular modeling, quantum mechanics simulations, and material science.
  • Emerging Technologies: Exploration of new and emerging computational technologies and methodologies, including quantum computing, bioinformatics, and data science innovations.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  20767633

    Electronic ISSN:  20776853

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science, Computational Theory and Mathematics, Computer Science Applications, Mathematics, Modeling and Simulation

  • Publication Frequency:  

  • H Index:  12

  • Best Quartile:

    Q1:  

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    Q4:  Computational Theory and Mathematics

  • Cite Score:  0.8

  • SNIP:  0.350

  • Journal Rank(SJR):  0.178