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Computacion y Sistemas - Centro de Investigacion en Computacion del Instituto Politecnico Nacional | 2025 Impact Factor:0.8 | Cite Score:1.2 | SCOPUS Q4

Computacion y Sistemas Journal With Cite Score

Cite Score and Journal Rank of Computacion y Sistemas

  • About: Computación y Sistemas is a peer-reviewed journal focusing on the intersection of computing and systems science. It aims to disseminate high-quality research that advances the theoretical and practical aspects of computing systems, including algorithms, architectures, and applications in various domains. The journal provides a platform for scholars and practitioners to share their findings on computational methodologies and system engineering.
  • Objective
    The main objective of Computación y Sistemas is to promote the development and application of computational systems and technologies. It seeks to publish research that contributes to the advancement of computational techniques, system design, and their practical implementations in solving complex problems across different fields.
  • Topics Covered
    The journal covers a broad range of topics within computing and systems science, including but not limited to: Algorithms and data structures Software engineering and development Computational models and simulations System architecture and design Distributed and parallel computing Network and communication systems Database systems and data management Artificial intelligence and machine learning Human-computer interaction Cyber-physical systems Computational methods in science and engineering
  • Interdisciplinary Approach
    Computación y Sistemas encourages interdisciplinary research by integrating contributions from diverse fields such as computer science, engineering, applied mathematics, and information technology. This approach fosters a comprehensive understanding of computational systems and their applications in various domains.
  • Impact and Significance
    The journal plays a significant role in advancing the field of computing and systems science by providing a venue for innovative research and developments. Its publications contribute to the state of the art in computational methodologies, system design, and their practical applications, impacting both academic research and industry practices.
  • Submission and Review Process
    Computación y Sistemas employs a rigorous peer-review process to ensure the quality and relevance of its publications. Submissions are evaluated based on their originality, technical merit, significance, and clarity. The journal welcomes contributions from researchers, practitioners, and experts in the fields of computing and systems science.

  • Editor-in-Chief:  Grigori Sidorov

  • Scope: The Computación y Sistemas (Computer Science and Systems) journal is a peer-reviewed publication dedicated to advancing research and knowledge in the fields of computer science, systems engineering, and related areas. The journal serves as a platform for scholars, researchers, and practitioners to disseminate their findings on various aspects of computational methods and systems. Computer Science:
    Algorithms and Data Structures: Research on the design, analysis, and application of algorithms and data structures for efficient problem-solving.
  • Software Engineering: Studies on software development methodologies, software quality assurance, and software design patterns.
  • Programming Languages: Exploration of programming languages, including their design, implementation, and application.
  • Systems Engineering:
    System Design and Architecture: Research on the design and architecture of complex systems, including distributed systems, embedded systems, and real-time systems.
  • Systems Integration: Studies on integrating various system components to create cohesive and functional systems.
  • Performance Evaluation: Exploration of methods for evaluating and optimizing system performance, including benchmarking and performance analysis.
  • Computational Methods:
    Numerical Analysis: Research on numerical methods for solving mathematical problems, including algorithms for numerical integration and differential equations.
  • Computational Intelligence: Studies on artificial intelligence techniques such as machine learning, neural networks, and evolutionary algorithms.
  • Simulation and Modeling: Exploration of simulation techniques and modeling approaches for various applications in science and engineering.
  • Data Science:
    Data Mining and Knowledge Discovery: Research on techniques for extracting valuable insights from large datasets.
  • Big Data Analytics: Studies on the analysis and processing of big data, including tools and frameworks for handling large-scale data.
  • Data Visualization: Exploration of methods for visualizing complex data to facilitate understanding and decision-making.
  • Human-Computer Interaction:
    Usability and User Experience: Research on improving the usability and user experience of software applications and systems.
  • Interface Design: Studies on designing effective and user-friendly interfaces for various computing environments.
  • Interaction Techniques: Exploration of innovative interaction techniques, including touch, voice, and gesture-based interfaces.
  • Networking and Communication:
    Network Protocols: Research on communication protocols and standards for reliable and efficient data exchange.
  • Wireless and Mobile Networks: Studies on wireless communication technologies, including mobile networks and ad hoc networks.
  • Network Security: Exploration of security measures and protocols for protecting networked systems and data.
  • Cyber-Physical Systems:
    Embedded Systems: Research on embedded systems design, including hardware and software integration.
  • Real-Time Systems: Studies on real-time systems and their applications in various domains, including automotive and industrial control.
  • IoT and Smart Systems: Exploration of Internet of Things (IoT) technologies and smart systems for applications in smart homes, cities, and industries.
  • Emerging Technologies:
    Quantum Computing: Research on quantum computing technologies and their potential applications.
  • Blockchain Technology: Studies on blockchain technology, including its applications and security aspects.
  • Edge and Fog Computing: Exploration of edge and fog computing paradigms for decentralized computing and data processing.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  14055546

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2025:  0.8

  • Subject Area and Category:   Computer Science, Computer Science (miscellaneous)

  • Publication Frequency:  

  • H Index:  24

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Computer Science (miscellaneous)

  • Cite Score:  1.2

  • SNIP:  0.275

  • Journal Rank(SJR):  0.188