International Journal of Systems Science

Aims & Scope

International Journal of Systems Science (IJSS) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers that contribute to the methodology and practice in emerging systems engineering themes of intelligence, autonomy and complexity.

Modern systems are becoming more and more complex and sophisticated in their demand for performance, reliability and increasing autonomy.

Historically, highly analytic and numeric-based methods have sufficed, frequently simplifying the problem to allow analytical tractability.

Many manufactured and natural systems (biological, ecological and socio-economic) cannot be adequately represented or analyzed without requiring multiple interacting and interconnected frameworks and a common information-processing framework.

A wide range of new theories, methodologies and techniques are required to ‘enable’ such systems, and thus engineering and integration to deal with these demands.

IJSS therefore encourages original submissions in these areas, with special focus on papers that are strongly novel as well as not being overly applied.

Proposals for special issues in cutting-edge areas of systems science are encouraged, and should be discussed with the Editor-in-Chief.

Papers that cover those topics related to operations management and logistics will not be accepted for publication in IJSS.

Instead they should be submitted directly to sister journal International Journal of Systems Science: Operations & Logistics.

Queries regarding submissions can be made by contacting the Editor-in-Chief, whose decision is final.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.6
2024	4.90

SJR (SCImago Journal Rank)

Year	Value
2024	1.345

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	89

Journal Rank

Year	Value
2024	2913

Journal Citation Indicator

Year	Value
2024	3540

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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, Engineering and Mathematics, 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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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.

• Operations on fuzzy numbers

  Citation: 1936

  Authors: DIDIER, HENRI

• Every good regulator of a system must be a model of that system †

  Citation: 780

  Authors: ROGER C., W.

• Distributed robust finite-time nonlinear consensus protocols for multi-agent systems

  Citation: 668

  Authors: Zongyu, Lin

• Electric load forecasting: Literature survey and classification of methods

  Citation: 529

  Authors: Hesham K., Mohammad

• High-order fully actuated system approaches: Part I. Models and basic procedure

  Citation: 514

  Authors: Guangren

• Stability analysis of switched systems with stable and unstable subsystems: An average dwell time approach

  Citation: 466

  Authors: Guisheng, Bo, Kazunori, Anthony N.

• Sliding mode observers: a survey

  Citation: 434

  Authors: Sarah K.

• Cooperative forest fire surveillance using a team of small unmanned air vehicles

  Citation: 424

  Authors: David W., Derek B., Randal W., Timothy W.

• A survey of linear matrix inequality techniques in stability analysis of delay systems

  Citation: 365

  Authors: Shengyuan, James

• UAV path planning using artificial potential field method updated by optimal control theory

  Citation: 360

  Authors: Yong-bo, Guan-chen, Yue-song, Jian-qiao, Xiao-long

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