JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL

Scope & Guideline

Advancing Knowledge in Computer Networks and Systems Engineering

Introduction

Immerse yourself in the scholarly insights of JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1064-2307
PublisherPLEIADES PUBLISHING INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1993 to 2024
AbbreviationJ COMPUT SYS SC INT+ / J. Comput. Syst. Sci. Int.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPLEIADES HOUSE, 7 W 54 ST, NEW YORK, NY 10019, UNITED STATES

Aims and Scopes

The JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL is dedicated to advancing the field of computer science and systems engineering through innovative research and interdisciplinary approaches. The journal focuses on the development and application of algorithms, control systems, and computational models, emphasizing their practical implications in various domains.
  1. Control Systems and Optimization:
    The journal emphasizes research on control systems, including optimal control, robust control, and adaptive control strategies for various applications ranging from robotics to aerospace.
  2. Computational Models and Algorithms:
    A core area of focus is the development of computational models and algorithms, particularly in the context of systems with uncertainties, complex dynamics, and real-time constraints.
  3. Artificial Intelligence and Machine Learning:
    There is a significant emphasis on artificial intelligence, particularly in the application of machine learning techniques for optimization problems, predictive modeling, and system diagnostics.
  4. Hybrid and Multicriteria Decision-Making:
    Research on hybrid systems and multicriteria decision-making processes is prevalent, exploring game-theoretic approaches and optimization under uncertainty.
  5. Systems Dynamics and Simulation:
    The journal includes studies on the dynamics of complex systems, including simulations of physical systems and the analysis of their behaviors under various conditions.
  6. Network and Communication Systems:
    Investigations into networked systems, including telecommunication networks and multi-agent systems, are also a key focus, especially regarding resource optimization and control strategies.
The journal is currently witnessing several emerging themes that reflect the evolving landscape of computer science and systems engineering. These trends indicate a growing interest in interdisciplinary research and innovative applications.
  1. Explainable AI and Interpretability:
    Recent publications highlight a rising trend towards explainable artificial intelligence, focusing on making complex AI models more interpretable and transparent, particularly in critical applications such as healthcare and autonomous systems.
  2. Stochastic and Adaptive Systems:
    There is an increasing emphasis on stochastic modeling and adaptive control systems that can respond to uncertainties and dynamic environments, reflecting the complexity of modern applications.
  3. Integration of IoT and Cyber-Physical Systems:
    The intersection of Internet of Things (IoT) technologies with cyber-physical systems is gaining attention, emphasizing research on smart systems that integrate physical processes with computational elements.
  4. Deep Learning Applications:
    The application of deep learning techniques across various domains, including image analysis, signal processing, and robotics, is trending, showcasing the technology's versatility and impact.
  5. Robustness and Resilience in Systems Design:
    Research focusing on the robustness and resilience of systems in the face of disturbances and uncertainties is emerging as a key area, particularly in critical infrastructure and safety-critical applications.

Declining or Waning

While the JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL continues to thrive in many areas, some themes have shown signs of decline in recent publications. The following topics have become less prominent compared to previous years.
  1. Classical Control Theory:
    There appears to be a waning interest in traditional control theory topics, as newer methodologies such as adaptive and intelligent control systems gain more traction.
  2. Static System Analysis:
    Research focusing solely on static analyses of systems without considering real-time or dynamic adaptations is becoming less frequent, reflecting a shift towards more dynamic and responsive system designs.
  3. Basic Theoretical Computer Science:
    There is a noticeable decrease in papers centered on foundational theoretical computer science topics, as the journal increasingly prioritizes applied research with practical implications.
  4. Conventional Optimization Techniques:
    The use of conventional optimization methods, particularly in isolation from modern computational techniques, has diminished, with a greater focus now on hybrid and heuristic approaches.
  5. Traditional Robotics Applications:
    Research focused solely on traditional robotic applications without integrating AI or machine learning components has become less common, indicating a shift towards more advanced and intelligent robotics.

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