IEEE Systems - Impact Factor

IEEE Systems | 2024 Impact Factor:4.4 | Cite Score:11.8 | Q1

Impact Factor and Journal Rank of IEEE Systems

About: The IEEE Systems Journal is a peer-reviewed publication by the IEEE. It focuses on research in systems engineering and systems thinking, covering a wide range of topics such as systems design, integration, management, and analysis. The journal serves as a platform for scholars, researchers, and practitioners to publish original research articles, reviews, and case studies that advance the understanding and application of systems engineering principles.
Objective: The primary objective of the IEEE Systems Journal is to promote research and innovation in systems engineering. The journal aims to explore theories, methodologies, and applications that enhance the design, integration, and management of complex systems. By publishing high-quality research, the journal seeks to address the challenges and opportunities in developing efficient, reliable, and scalable systems across various domains.
Interdisciplinary Focus: The IEEE Systems Journal adopts an interdisciplinary approach, welcoming contributions from various fields related to systems engineering, including but not limited to, Systems Design and Integration, Systems Management, Systems Analysis and Modeling, Cyber-Physical Systems, Systems of Systems, Complex Systems, Control Systems, Decision Support Systems, Risk and Reliability Analysis. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced systems engineering solutions that address real-world challenges in diverse applications.
Global Reach and Impact: With a broad international readership and authorship, the IEEE Systems Journal has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in systems engineering worldwide. The journal content influences both academic research and practical applications, driving progress in areas such as aerospace, defense, healthcare, transportation, and industrial automation.
High Standards and Rigorous Review: Maintaining high academic standards, the IEEE Systems Journal conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
Significance: The IEEE Systems Journal plays a significant role in advancing research and practice in the field of systems engineering. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in systems engineering technologies and applications. It serves as an essential resource for researchers, practitioners, educators, and students interested in understanding and leveraging systems engineering principles to design, integrate, and manage complex systems effectively.

Journal Home: Journal Homepage

Editor-in-Chief: Professor Amir G. Aghdam

Scope: The IEEE Systems Journal (ISJ) is a prestigious peer-reviewed journal published by the Institute of Electrical and Electronics Engineers (IEEE). It focuses on the theory, methodologies, and applications of systems engineering and its interdisciplinary approach to the design and management of complex systems. The journal provides a significant platform for researchers, practitioners, and scholars to share their latest findings, methodologies, and practical insights. Here is an overview of its key focus areas and scope:
1. Systems Engineering Methodologies:
Research on systems engineering methodologies, processes, and frameworks for designing and managing complex systems.
Advancements in model-based systems engineering, requirements engineering, system architecture, and system integration.
2. Complex Systems and Systems of Systems:
Exploration of the theory, design, and analysis of complex systems and systems of systems (SoS) in various domains such as defense, aerospace, healthcare, and transportation.
Research on modeling, simulation, and optimization techniques for understanding and managing the complexity of interconnected systems.
3. Cyber-Physical Systems:
Advancements in the integration of computational and physical processes in cyber-physical systems (CPS), including smart grids, autonomous vehicles, and industrial automation.
Research on real-time control, sensor networks, embedded systems, and IoT technologies for CPS applications.
4. Systems Reliability and Resilience:
Exploration of methodologies for ensuring the reliability, resilience, and robustness of systems in the face of failures, uncertainties, and adverse conditions.
Research on fault detection, diagnosis, recovery, and maintenance strategies for enhancing system dependability.
5. Systems Safety and Security:
Advancements in the safety and security of systems, including risk assessment, hazard analysis, and cybersecurity measures.
Research on secure system design, threat modeling, and security protocols for protecting critical infrastructure and sensitive data.
6. Human-Systems Integration:
Exploration of human factors, ergonomics, and user-centered design principles for improving the interaction between humans and systems.
Research on human-machine interfaces, cognitive engineering, and usability evaluation for enhancing system performance and user satisfaction.
7. Decision Support Systems:
Advancements in decision support systems (DSS) for aiding decision-making processes in complex environments.
Research on data analytics, artificial intelligence, optimization, and visualization techniques for developing effective DSS.
8. Systems Optimization and Control:
Exploration of optimization and control methodologies for improving the performance, efficiency, and adaptability of systems.
Research on feedback control, adaptive control, stochastic optimization, and multi-objective optimization for various applications.
9. Systems Modeling and Simulation:
Advancements in modeling and simulation techniques for analyzing and predicting the behavior of systems under different scenarios.
Research on discrete-event simulation, agent-based modeling, system dynamics, and hybrid simulation approaches.