INTERNATIONAL JOURNAL OF GENERAL SYSTEMS

Scope & Guideline

Innovating Research on General Systems since 1974

Introduction

Welcome to your portal for understanding INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0308-1079
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1974 to 2024
AbbreviationINT J GEN SYST / Int. J. Gen. Syst.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The INTERNATIONAL JOURNAL OF GENERAL SYSTEMS focuses on the development and application of general systems theory, emphasizing interdisciplinary methodologies and the integration of various mathematical and computational approaches. The journal aims to advance knowledge in complex systems through theoretical advancements and practical applications.
  1. Systems Theory and Modeling:
    The journal publishes works that delve into the theoretical foundations of systems theory, including modeling techniques for both linear and nonlinear systems, as well as approaches to dynamic systems.
  2. Reliability and Risk Assessment:
    A significant focus on reliability engineering, particularly in complex systems such as supply chains and networked systems, highlighting methodologies for assessing and improving system reliability under uncertainty.
  3. Fuzzy and Uncertainty Theories:
    Research exploring fuzzy logic, uncertainty modeling, and applications in decision-making processes is prevalent, showcasing the journal's commitment to addressing imprecision in systems.
  4. Optimization and Control:
    The journal covers various optimization techniques and control strategies, including adaptive control, event-triggered control, and robust control methods for uncertain systems.
  5. Data Analytics and Forecasting:
    With a growing interest in data-driven approaches, the journal emphasizes methods for time series forecasting, big data analysis, and machine learning applications in system optimization.
  6. Interdisciplinary Applications:
    Research that bridges multiple disciplines, applying systems theory to fields such as transportation, healthcare, and environmental studies, is a key aspect of the journal's scope.
Recent publications in the INTERNATIONAL JOURNAL OF GENERAL SYSTEMS indicate a shift towards innovative and interdisciplinary research themes. These emerging trends reflect the evolving landscape of systems theory and its applications.
  1. Complex Network Analysis:
    An increasing number of studies focus on the analysis of complex networks, particularly in the contexts of transportation and social systems, highlighting their dynamic interactions and dependencies.
  2. Adaptive and Resilient Systems:
    Research on adaptive control and resilient systems design is gaining traction, emphasizing the importance of systems that can withstand and recover from disturbances.
  3. Sustainability and Green Systems:
    There is a marked increase in publications addressing sustainability, particularly in supply chain management and resource allocation, aligning with global priorities for environmental stewardship.
  4. Machine Learning and AI Integration:
    The incorporation of machine learning and artificial intelligence techniques into systems modeling and forecasting is a rapidly growing theme, reflecting technological advancements in data analytics.
  5. Real-Time Decision Making:
    Emerging research focuses on real-time decision-making frameworks, especially in transportation and logistics, where dynamic conditions necessitate timely responses.
  6. Multivariate Data Techniques:
    Innovative methodologies for handling multivariate data, including copulas and advanced statistical techniques, are increasingly featured, showcasing the journal's shift towards complex data analysis.

Declining or Waning

While the journal has maintained a broad focus on various aspects of systems theory, certain themes have shown signs of declining prominence in recent publications. This may reflect shifts in researcher interest or the emergence of new methodologies.
  1. Traditional Control Theory:
    There appears to be a waning interest in classical control theory approaches, with fewer papers focusing solely on linear control systems as newer, more adaptive methods gain traction.
  2. Static Systems Analysis:
    Research centered on static or equilibrium models is decreasing, as the journal shifts towards dynamic and adaptive systems that more accurately reflect real-world complexities.
  3. Basic Fuzzy Set Theory:
    While fuzzy logic remains important, foundational studies on basic fuzzy set theory are less frequent, indicating a move towards more applied and advanced fuzzy systems research.
  4. Simplicity in Modeling:
    There is a noticeable decline in studies advocating for simplicity in system models; instead, the trend leans towards embracing complexity to capture the nuances of real-world systems.

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