Cybernetics and Information Technologies

Aims & Scope

The journal Cybernetics and Information Technologies presents scientific papers including original theoretical as well as application contributions to the subject areas: information processes and systems; operational research, pattern recognition; signal and image processing; artificial intelligence; linguistic modelling; control theory and applications; high performance computing; scientific computations; computer communication technologies; software technologies; information technologies in education (the list is not exhausting).

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.1
2024	1.20

Journal Rank

Year	Value
2024	14920

Journal Citation Indicator

Year	Value
2024	275

SJR (SCImago Journal Rank)

Year	Value
2024	0.358

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	27

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Predicting Student Performance by Using Data Mining Methods for Classification

  Citation: 130

  Authors: Dorina

• Shadow Detection and Removal from a Single Image Using LAB Color Space

  Citation: 46

  Authors: Saritha, V. K.

• Grinding in Ball Mills: Modeling and Process Control

  Citation: 30

  Authors: Vladimir, Blagoy, Stefan

• Analysis of a Vector Space Model, Latent Semantic Indexing and Formal Concept Analysis for Information Retrieval

  Citation: 18

  Authors: Ch., M., J.

• Towards Autonomous Robotic Valve Turning

  Citation: 14

  Authors: A., S. R., A., P., M., D. G.

• Summarizing News Paper Articles: Experiments with Ontology- Based, Customized, Extractive Text Summary and Word Scoring

  Citation: 14

  Authors: Jagadish S., K. G., B.

• Learning Fast Quadruped Robot Gaits with the RL PoWER Spline Parameterization

  Citation: 14

  Authors: Haocheng, Jason, Petar, Darwin G., Hod

• Multi-Criteria Models for Clusters Design

  Citation: 10

  Authors: Irina

• On Global Optimization of Walking Gaits for the Compliant Humanoid Robot, COMAN Using Reinforcement Learning

  Citation: 9

  Authors: Houman, Petar, Zhibin, Darwin

• Image Processing for Technological Diagnostics of Metallurgical Facilities

  Citation: 9

  Authors: Lyubka, Venko, Emil, Svetla

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