IEEE Transactions on Network Science and Engineering | 2024 Impact Factor:7.9 | Cite Score:13.1 | Q1

Impact Factor and Journal Rank of IEEE Transactions on Network Science and Engineering

• About: IEEE Transactions on Network Science and Engineering is a peer-reviewed journal published by the IEEE. It focuses on research related to network science and engineering, encompassing the theoretical, algorithmic, and applied aspects of network studies. The journal provides a platform for scholars, researchers, and practitioners to publish original research articles, reviews, and case studies that advance the understanding and application of network science and engineering principles.
• Objective: The primary objective of IEEE Transactions on Network Science and Engineering is to promote research and innovation in network science and engineering. The journal aims to explore theories, methodologies, and applications that enhance the design, analysis, and management of complex networks. By publishing high-quality research, the journal contributes to the advancement of network science and its practical applications in various domains.
• Interdisciplinary Focus: IEEE Transactions on Network Science and Engineering adopts an interdisciplinary approach, welcoming contributions from various fields related to network science and engineering, including but not limited to, Network Theory, Network Algorithms, Communication Networks, Biological Networks, Social Networks, Information Networks, Energy Networks, Transportation Networks, Network Dynamics, Network Security. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced theories and practices that address complex challenges in network science and engineering.
• Global Reach and Impact: With a broad international readership and authorship, IEEE Transactions on Network Science and Engineering has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in network science and engineering worldwide. The journal content influences both academic research and practical applications, driving progress in areas such as network optimization, resilience, robustness, and the development of new network-based technologies.
• High Standards and Rigorous Review: Maintaining high academic standards, IEEE Transactions on Network Science and Engineering 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: IEEE Transactions on Network Science and Engineering plays a significant role in advancing research and practice in the field of network science and engineering. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in network theories, models, and applications. It serves as an essential resource for researchers, practitioners, and policymakers seeking to leverage network science to solve real-world problems, enhance connectivity, and optimize the performance of complex systems across various industries and sectors.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Jianwei Huang

• Scope: The IEEE Transactions on Network Science and Engineering (TNSE) journal is a highly regarded, peer-reviewed publication that focuses on the theory, algorithms, applications, and technologies related to network science and engineering. It provides a vital platform for researchers, practitioners, and academicians to share their latest research findings, methodologies, and advancements in the field of network science. Here is an overview of its key focus areas and scope:
• 1. Network Theory and Algorithms:
  Research on the foundational theories and mathematical models underlying network structures and dynamics.
  Studies on algorithm design and analysis for network problems, including graph algorithms, optimization, and complexity.
• 2. Network Dynamics and Processes:
  Exploration of dynamic processes on networks, such as diffusion, contagion, synchronization, and percolation.
  Research on the behavior of complex networks under various dynamic conditions and influences.
• 3. Social and Information Networks:
  Advancements in the analysis and modeling of social networks, information diffusion, and influence propagation.
  Studies on social network analysis, community detection, and the impact of social media on network dynamics.
• 4. Biological and Ecological Networks:
  Research on the structure and function of biological networks, including neural networks, genetic networks, and metabolic networks.
  Studies on ecological networks, food webs, and the interactions within biological ecosystems.
• 5. Communication and Computer Networks:
  Exploration of network architectures, protocols, and performance analysis in communication and computer networks.
  Research on network topology, routing algorithms, and the optimization of network resources and services.
• 6. Cyber-Physical Networks:
  Advancements in the design and analysis of cyber-physical systems (CPS) that integrate physical processes with computation and communication.
  Studies on the resilience, security, and performance of CPS in various applications, including smart grids, transportation systems, and healthcare.
• 7. Network Resilience and Robustness:
  Research on the robustness, fault tolerance, and resilience of networks to failures, attacks, and disruptions.
  Studies on network recovery strategies, redundancy planning, and the mitigation of cascading failures.
• 8. Data-Driven Network Analysis:
  Exploration of techniques for collecting, analyzing, and visualizing large-scale network data.
  Research on data mining, machine learning, and statistical methods applied to network science.
• 9. Network Security and Privacy:
  Advancements in securing networks against threats and ensuring privacy in network communications.
  Research on security protocols, intrusion detection, and the protection of sensitive information in networks.
• 10. Network Applications and Services:
  Research on innovative applications of network science in various domains, including healthcare, finance, transportation, and logistics.
  Studies on the development and deployment of network-based services and the optimization of service delivery.
• 11. Network Visualization and Interaction:
  Exploration of techniques for visualizing complex networks and enhancing user interaction with network data.
  Research on interactive visualization tools, visual analytics, and the cognitive aspects of network interpretation.
• 12. Interdisciplinary Network Studies:
  Advancements in the application of network science across diverse fields such as physics, sociology, biology, and engineering.
  Studies on the interdisciplinary integration of network theories and methods to solve complex real-world problems.
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• Print ISSN:  23274697

  Electronic ISSN:  

• Abstracting and Indexing:  Scopus, Science Citation index Expanded

• Imapct Factor 2024:  7.9

• Subject Area and Category:   Computer Science , Computer Networks and Communications , Computer Science Applications, Engineering, Control and Systems Engineering

• Publication Frequency:  

• H Index:  69

• Best Quartile:

  Q1:  Computer Networks and Communications

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  13.1

• SNIP:  2.042

• Journal Rank(SJR):  1.941

• Latest Articles:   Latest Articles in IEEE Transactions on Network Science and Engineering

• Guidelines for Authors: IEEE Transactions on Network Science and Engineering Author Guidelines

• Paper Submissions: Paper Submissions in IEEE Transactions on Network Science and Engineering

• Publisher:  IEEE Computer Society

  Country:  United States

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