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Computer Science - AGH University of Science and Technology | 2024 Impact Factor: 0.3 | Cite Score:1.4 | Q3

Computer Science Journal With Cite Score

Cite Score and Journal Rank of Computer Science

  • About: The Computer Science Journal is a peer-reviewed academic publication dedicated to covering a broad spectrum of topics within the field of computer science. The journal publishes original research, reviews, and methodological papers that contribute to advancements in computer science theory, technology, and applications. It serves as a platform for disseminating cutting-edge research and fostering scholarly communication among researchers, practitioners, and educators in the field.
  • Objective
    The primary objective of the Computer Science Journal is to advance the field of computer science by providing a forum for high-quality research and discussion. The journal aims to publish innovative research that addresses theoretical and practical challenges in computer science, promotes the development of new technologies, and enhances understanding across various subfields. By showcasing significant contributions and emerging trends, the journal seeks to drive progress and inspire further research and development in the discipline.
  • Topics Covered
    The journal covers a comprehensive range of topics within computer science, including but not limited to: Algorithms and Data Structures Computational Theory Software Engineering Computer Systems and Architecture Networking and Communications Artificial Intelligence and Machine Learning Database Systems and Information Retrieval Human-Computer Interaction Cybersecurity and Privacy Distributed Systems and Cloud Computing Computer Graphics and Vision Computational Science and Engineering
  • Interdisciplinary Approach
    Computer Science Journal embraces an interdisciplinary approach by encouraging research that intersects with other fields, such as mathematics, engineering, cognitive science, and information systems. The journal values contributions that integrate computer science with other disciplines, providing innovative solutions to complex problems and fostering collaboration between diverse areas of study. This interdisciplinary focus enhances the relevance and impact of the research published in the journal.
  • Impact and Significance
    The Computer Science Journal is recognized for its rigorous peer-review process and its commitment to publishing high-quality research. Its contributions to the field of computer science are impactful, influencing both academic research and practical applications. The journals focus on emerging trends and cutting-edge research ensures that it remains a valuable resource for researchers, practitioners, and educators who seek to stay informed about the latest developments in computer science.

  • Editor-in-Chief:  Jacek Kitowski

  • Scope: Computer Science Journal is a peer-reviewed publication that focuses on a wide range of topics within the field of computer science. The journal publishes high-quality research papers that advance knowledge in various areas of computer science and its applications.
  • Algorithms and Complexity:
    Algorithm Design and Analysis: Research on the design, analysis, and optimization of algorithms for solving computational problems.
  • Complexity Theory: Studies on computational complexity, including classes of problems and their inherent difficulty.
  • Artificial Intelligence and Machine Learning:
    Machine Learning Algorithms: Research on algorithms and models for machine learning, including supervised, unsupervised, and reinforcement learning.
  • Artificial Intelligence Applications: Studies on the application of AI technologies in various domains such as natural language processing, computer vision, and robotics.
  • Neural Networks and Deep Learning: Exploration of neural network architectures and deep learning techniques for solving complex problems.
  • Computer Systems and Architecture:
    Computer Architecture: Research on the design and organization of computer systems, including processors, memory, and storage.
  • Operating Systems: Studies on operating system design, management, and performance, including resource allocation and concurrency.
  • Distributed Systems: Exploration of systems that manage distributed resources and coordinate computations across multiple machines.
  • Software Engineering:
    Software Development Methodologies: Research on methodologies and practices for software development, including agile, waterfall, and DevOps.
  • Software Testing and Quality Assurance: Studies on techniques and tools for testing software and ensuring quality and reliability.
  • Software Design Patterns: Exploration of design patterns and best practices for developing robust and maintainable software systems.
  • Computer Networks and Security:
    Network Protocols and Architectures: Research on network protocols, architectures, and technologies for communication between computers.
  • Cybersecurity: Studies on techniques and strategies for protecting computer systems and networks from security threats and attacks.
  • Data Privacy: Exploration of methods and technologies for ensuring data privacy and compliance with regulations.
  • Human-Computer Interaction:
    User Interface Design: Research on designing user-friendly interfaces that enhance usability and user experience.
  • Human Factors and Ergonomics: Studies on the impact of human factors on computer system design and interaction.
  • Usability Testing: Exploration of methods for evaluating and improving the usability of software and systems.
  • Data Science and Analytics:
    Data Mining: Research on techniques for discovering patterns and insights from large data sets.
  • Big Data: Studies on technologies and methods for managing and analyzing large-scale data.
  • Data Visualization: Exploration of techniques for visualizing data to support analysis and decision-making.
  • Computer Graphics and Vision:
    Computer Graphics: Research on techniques for generating and manipulating visual content using computers.
  • Computer Vision: Studies on methods for enabling computers to interpret and understand visual information from the world.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  15082806

    Electronic ISSN:   23007036

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:   0.3

  • Subject Area and Category:   Computer Science, Artificial Intelligence, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Computer Science (miscellaneous), Computer Vision and Pattern Recognition, Mathematics, Modeling and Simulation

  • Publication Frequency:  

  • H Index:  11

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Artificial Intelligence

    Q4:  

  • Cite Score:  1.4

  • SNIP:  0.291

  • Journal Rank(SJR):  0.185