Cybernetics and Systems

Aims & Scope

Cybernetics and Systems aims to share the latest developments in cybernetics and systems to a global audience of academics working or interested in these areas.

We bring together scientists from diverse disciplines and update them in important cybernetic and systems methods, while drawing attention to novel useful applications of these methods to problems from all areas of research, in the humanities, in the sciences and the technical disciplines.

Showing a direct or likely benefit of the result(s) of the paper to humankind is welcome but not a prerequisite.

We welcome original research that: -Improves methods of cybernetics, systems theory and systems research- Improves methods in complexity research- Shows novel useful applications of cybernetics and/or systems methods to problems in one or more areas in the humanities- Shows novel useful applications of cybernetics and/or systems methods to problems in one or more scientific disciplines- Shows novel useful applications of cybernetics and/or systems methods to technical problems- Shows novel applications in the arts

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.8
2024	1.10

Journal Rank

Year	Value
2024	13268

Journal Citation Indicator

Year	Value
2024	559

SJR (SCImago Journal Rank)

Year	Value
2024	0.424

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	49

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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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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.

• ROUGH SET THEORY AND ITS APPLICATIONS TO DATA ANALYSIS

  Citation: 690

  Authors: ZDZISLAW

• FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES

  Citation: 343

  Authors: Shyi-Ming

• UNCERTAIN OPTIMAL CONTROL WITH APPLICATION TO A PORTFOLIO SELECTION MODEL

  Citation: 329

  Authors: Yuanguo

• APPLYING EVOLUTIONARY PROGRAMMING TO SELECTED TRAVELING SALESMAN PROBLEMS

  Citation: 188

  Authors: DAVID B.

• OPTIMIZING COMPLEX FUNCTIONS BY CHAOS SEARCH

  Citation: 185

  Authors: BING LI WEISUN

• NEW METHODS FOR SUBJECTIVE MENTAL WORKLOAD ASSESSMENT AND FUZZY RISK ANALYSIS

  Citation: 167

  Authors: SHYI-MING

• A NEW METHOD FOR HANDLING MULTICRITERIA FUZZY DECISION-MAKING PROBLEMS USING FN-IOWA OPERATORS

  Citation: 146

  Authors: SHI-JAY, SHYI-MING

• EMOTIONAL LEARNING: A COMPUTATIONAL MODEL OF THE AMYGDALA

  Citation: 133

  Authors: Christian, Jan

• Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0

  Citation: 128

  Authors: Syed Imran, Cesar, Carlos, Edward

• PROJECT TEAM SELECTION USING FUZZY OPTIMIZATION APPROACH

  Citation: 127

  Authors: Adil, Turkay, Sena

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