Journal of Interconnection Networks

Aims & Scope

The Journal of Interconnection Networks (JOIN) is an international scientific journal dedicated to advancing the state-of-the-art of interconnection networks.

The journal addresses all aspects of interconnection networks which include structure, function, application and management in a variety of pervasive systems at the biological, cyber, physical and social level.

Original research articles, both theoretical and applied, are solicited.

Expository papers, which survey a matured or an emerging field, are also welcome.

The topics covered by this journal include (but are not limited to) the following: System Structure and Management: Structures and Topologies: Multistage interconnection networks; various network properties including connectivity, diameter, wide diameter, reliability, reconfigurability, and fault-tolerance.

Network Management: Routing, scheduling and load balancing; routing protocols; network design and traffic management; frequency equipment; network management policy and security.

Domain Applications: Application of interconnection networks in parallel and distributed computing, reconfigurable network architecture, integrated circuits (VLSI layout design), multiprocessors and multi-core computers, and communication networks as diverse as telephone systems, cable network systems, computer networks, software defined networks, mobile communication networks, sensor networks, wireless networks, visualized networks, data center systems, clouds and satellite network systems Complex Network: Study of large networks defined with complex, typically probabilistic, structures; mathematical models; efficient algorithms; evolution of dynamic complex networks; big data implications of representing, managing, and analyzing large networks.

Social Networks and Interaction: Semantic Network: Attention, consciousness, perception, knowledge presentation and association and proposition.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	31016

Journal Citation Indicator

Year	Value
2024	569

Impact Factor

Year	Value
2024	0.50

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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, designed to support cutting-edge academic discovery.

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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.

• Wireless Sensor Networks with Energy Efficient Organization

  Citation: 172

  Authors: Mihaela, David, Maggie Xiaoyan, Manki, Xiaohua, Deying, Ding-Zhu

• CONDITIONAL DIAGNOSABILITY OF CAYLEY GRAPHS GENERATED BY TRANSPOSITION TREES UNDER THE COMPARISON DIAGNOSIS MODEL

  Citation: 95

  Authors: CHENG-KUAN, JIMMY J. M., LIH-HSING, EDDIE, LÁSZLÓ

• THE COVERAGE PROBLEM IN THREE-DIMENSIONAL WIRELESS SENSOR NETWORKS

  Citation: 76

  Authors: CHI-FU, YU-CHEE, LI-CHU

• GAMAN: A GA Based QoS Routing Method for Mobile Ad-Hoc Networks

  Citation: 62

  Authors: Leonard, Akio, Takuo, Norio

• AN EXPERIMENTAL STUDY ON GENETIC ALGORITHMS FOR RESOURCE ALLOCATION ON GRID SYSTEMS

  Citation: 57

  Authors: FATOS, LEONARD, ARJAN

• THE CONDITIONAL NODE CONNECTIVITY OF THE k-ARY n-CUBE

  Citation: 54

  Authors: KHALED

• Analysis of the Teaching Quality of College Ideological and Political Education Based on Deep Learning

  Citation: 54

  Authors: Xiao, Ying, Yanxia, Gabriel A.

• DETECTION OF ABNORMAL CHANGE IN A TIME SERIES OF GRAPHS

  Citation: 45

  Authors: PETER, MIRO, WAL, HORST

• AI Intelligence Chatbot to Improve Students Learning in the Higher Education Platform

  Citation: 43

  Authors: Li, Rama, C. G.

• Modern Art Education and Teaching Based on Artificial Intelligence

  Citation: 40

  Authors: Wen, Achyut, A.

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