JOURNAL OF INTERCONNECTION NETWORKS

Scope & Guideline

Exploring the Future of Connectivity

Introduction

Explore the comprehensive scope of JOURNAL OF INTERCONNECTION NETWORKS through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore JOURNAL OF INTERCONNECTION NETWORKS in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN0219-2659
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
Support Open AccessNo
CountrySingapore
TypeJournal
Convergefrom 2008 to 2013, from 2015 to 2023 (coverage discontinued in Scopus)
AbbreviationJ INTERCONNECT NETW / J. Interconnect. Netw.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE

Aims and Scopes

The Journal of Interconnection Networks primarily focuses on advancing the field of network theory and its applications, emphasizing graph theory, connectivity, and various optimization techniques in network design. It serves as a platform for researchers to discuss innovative methodologies and theoretical advancements that enhance our understanding of interconnection networks.
  1. Graph Theory and Connectivity:
    A core area of focus includes the study of graph structures, their connectivity properties, and various parameters that influence network resilience and performance.
  2. Network Design and Optimization:
    The journal emphasizes methodologies for optimizing network layouts, including routing protocols and embedding techniques that improve efficiency and minimize congestion.
  3. Applications in Wireless and Sensor Networks:
    There is a significant focus on the application of theoretical concepts in practical scenarios, particularly in wireless sensor networks, IoT, and other communication technologies.
  4. Advanced Computational Techniques:
    Research often incorporates advanced computational methods, including machine learning and algorithmic strategies, to tackle complex problems in network design and analysis.
  5. Interdisciplinary Approaches:
    The journal encourages interdisciplinary research that combines insights from computer science, engineering, and applied mathematics to address challenges in network theory.
The Journal of Interconnection Networks has witnessed the emergence of several exciting themes in recent years, reflecting the evolving landscape of network research and its applications.
  1. Machine Learning in Network Optimization:
    The integration of machine learning techniques to optimize network performance and routing has gained traction, highlighting the importance of data-driven approaches in modern network theory.
  2. Energy-Efficient Network Solutions:
    Research focusing on energy efficiency, particularly in wireless sensor networks and IoT, has surged, driven by the need for sustainable and efficient energy management in network operations.
  3. Security in Network Design:
    An increasing number of publications address security challenges in network design, particularly in the context of IoT and sensor networks, emphasizing the need for secure protocols and architectures.
  4. Dynamic and Adaptive Routing Protocols:
    There is a growing trend towards developing dynamic routing protocols that adapt to real-time network conditions, reflecting the need for resilience in increasingly complex network environments.
  5. Interdisciplinary Applications of Network Theory:
    Emerging research explores the application of network theory across various fields, including biology, social sciences, and smart cities, indicating a broadening of the journal's interdisciplinary scope.

Declining or Waning

Over the years, certain themes within the Journal of Interconnection Networks have seen a decline in focus, indicating a shift in research priorities or a saturation of previously explored topics.
  1. Classical Graph Theory:
    While classical graph theory remains important, there has been a noticeable decline in publications focusing solely on foundational aspects, as researchers shift towards more applied and complex scenarios.
  2. Basic Connectivity Studies:
    Studies that address basic connectivity issues without integrating advanced methodologies or applications have decreased, suggesting a trend towards more sophisticated analyses.
  3. Traditional Routing Protocols:
    Research centered on traditional routing protocols without novel enhancements or integration with emerging technologies has waned, possibly due to the rapid evolution of network technologies.
  4. Low-Dimensional Network Models:
    There is less emphasis on low-dimensional models that do not incorporate real-world complexities, as the community increasingly values high-dimensional and multifaceted approaches.
  5. Static Network Analysis:
    The focus on static analysis of networks has diminished, with more research now exploring dynamic and adaptive network behaviors in response to changing conditions.

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