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Cybernetics and Information Technologies - Institute of Information and Communication Technologies, Bulgarian Academy of Sciences | 2024 Impact Factor: 1.1 | Cite Score:3.7 | Q2

Cybernetics and Information Technologies Journal With Cite Score

Cite Score and Journal Rank of Cybernetics and Information Technologies

  • About: Cybernetics and Information Technologies Journal (CIT) is a peer-reviewed journal that publishes high-quality research in the fields of cybernetics and information technologies. The journal covers a broad spectrum of topics, including systems theory, control systems, artificial intelligence, machine learning, data processing, and information security. CIT aims to provide a platform for significant advancements in the theoretical, experimental, and applied aspects of cybernetics and information technologies.
  • Objective:
    The primary objective of CIT is to promote the advancement of cybernetics and information technologies by disseminating cutting-edge research findings and innovative methodologies. The journal seeks to provide a comprehensive resource for researchers, practitioners, and educators to share their work on systems theory, control systems, and information technologies. CIT aims to support the development of efficient and high-performing systems through rigorous academic research and practical applications.
  • Interdisciplinary Approach:
    CIT embraces an interdisciplinary approach, encouraging contributions from diverse fields such as computer science, electrical engineering, mathematics, and systems engineering. This approach ensures a holistic exploration of cybernetics and information technologies, integrating diverse perspectives and methodologies. By promoting interdisciplinary research, the journal aims to address complex challenges in these fields and develop integrated solutions that advance the state of knowledge in cybernetics and information technologies.
  • Impact:
    The journal has a significant impact on both academic research and practical applications in the fields of cybernetics and information technologies. It is widely cited by researchers, practitioners, and industry professionals interested in the latest developments in systems theory, control systems, and information technologies. The research published in CIT contributes to the development of new models, techniques, and methods that enhance the performance and efficiency of systems and technologies. The journal serves as a valuable resource for professionals involved in the design, analysis, and optimization of cybernetic and information systems.
  • Significance:
    CIT plays a crucial role in advancing the study and practice of cybernetics and information technologies by providing a platform for high-quality research and practical insights. Its contributions support the development of innovative techniques and methodologies that address current and future challenges in these fields. The journals commitment to excellence and interdisciplinary focus make it an essential resource for anyone involved in research, development, and application in the fields of cybernetics and information technologies. Through its rigorous scholarship and broad coverage, CIT helps shape the future of these dynamic and rapidly evolving fields.

  • Editor-in-Chief:  Danail Dochev

  • Scope: The Cybernetics and Information Technologies (CIT) Journal focuses on the advancement and dissemination of knowledge in the fields of cybernetics and information technologies. Its scope includes, but is not limited to:
  • Cybernetics: Research on the study of control and communication in animals, humans, and machines, including systems theory, feedback control systems, and adaptive systems.
  • Information Technologies: Exploration of advancements in information technology, including software development, hardware innovations, data management, and IT infrastructures.
  • Artificial Intelligence (AI): Studies on AI techniques and applications, including machine learning, neural networks, expert systems, and intelligent agents.
  • Robotics and Automation: Research on the development and application of robotic systems and automation technologies, including industrial robots, service robots, and autonomous systems.
  • Computational Intelligence: Exploration of computational techniques for intelligent data processing, including fuzzy logic, genetic algorithms, and evolutionary computation.
  • System Modeling and Simulation: Studies on the modeling and simulation of complex systems, including dynamic systems, discrete-event simulation, and agent-based modeling.
  • Control Systems: Research on the design and analysis of control systems, including linear and nonlinear control, adaptive control, and robust control.
  • Signal Processing: Exploration of techniques for processing and analyzing signals, including filtering, compression, and pattern recognition.
  • Cybersecurity: Studies on the protection of information systems from cyber threats, including encryption, intrusion detection, and secure communication protocols.
  • Data Mining and Knowledge Discovery: Research on extracting useful information from large datasets, including data mining algorithms, pattern recognition, and data visualization.
  • Human-Computer Interaction (HCI): Exploration of the interaction between humans and computers, including user interface design, usability studies, and interaction techniques.
  • Networks and Communication: Studies on the design and performance of communication networks, including wired, wireless, and mobile networks, as well as network protocols and algorithms.
  • Embedded Systems: Research on the design and application of embedded systems, including real-time computing, hardware-software co-design, and system integration.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1311-9702

    Electronic ISSN:  1314-4081

  • Abstracting and Indexing:  Scopus, Emerging Sources Citation Index

  • Imapct Factor 2024:  1.1

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

  • Publication Frequency:  

  • H Index:  27

  • Best Quartile:

    Q1:  

    Q2:  Computer Science (miscellaneous)

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  • Cite Score:  3.7

  • SNIP:  0.660

  • Journal Rank(SJR):  0.358