Automatic Control and Computer Sciences
Published by Pleiades Publishing
ISSN : 0146-4116 eISSN : 1558-108X
Abbreviation : Autom. Control. Comput. Sci.
Aims & Scope
Automatic Control and Computer Sciences is devoted to: Control methods, modeling and identification of technological processes in the field of industry and artifical intellect in control systems.
Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling.
Signal and image digitization and methods of their analysis, signal processing in technology, medicine, geophysics, and astrophysics, image recognition.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 0.5 |
2024 | 0.60 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.189 |
Quartile
Year | Value |
---|---|
2024 | Q4 |
Journal Rank
Year | Value |
---|---|
2024 | 21873 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 253 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.
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.
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Design of Anomaly-Based Intrusion Detection System Using Fog Computing for IoT Network
Citation: 93
Authors: Govind P., Rakesh
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Mathematical theory of teletraffic and its application to the analysis of multiservice communication of next generation networks
Citation: 40
Authors: G. P., Yu. V., K. E.
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MTCNN and FACENET Based Access Control System for Face Detection and Recognition
Citation: 38
Authors:
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Applying correlation analysis methods to control flow violation detection in the internet of things
Citation: 32
Authors: D., A., V.