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IEEE Transactions on Signal and Information Processing over Networks | 2024 Impact Factor:4.9 | Cite Score:6.8 | Q1

IEEE Transactions on Signal and Information Processing over Networks Journal

Impact Factor and Journal Rank of IEEE Transactions on Signal and Information Processing over Networks

  • About: The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend classical signal processing concepts from vector spaces (e.g., time and space) to networks where signals and information (data) are defined, potentially dynamically varying.
  • The journal focuses on the following topics in signal and information processing over networks:
  • Distributed algorithms for filtering, detection, estimation, adaptation, and learning Model selection in networked environments Data fusion techniques Diffusion or evolution of information over networks Applications of distributed signal processing
    In signal processing over networks, the network topology may define structural relationships in the data or constrain data processing methods.
  • Publication Details:
    IEEE Transactions on Signal and Information Processing over Networks publishes cutting-edge research that advances the field of distributed signal processing. It provides a platform for researchers to explore innovative methodologies and applications in networked environments.
  • Editorial Process:
    All submissions undergo a rigorous peer review process to ensure high quality and scholarly rigor.
  • Impact and Audience:
    The journal serves researchers, practitioners, and educators interested in the theoretical foundations and practical applications of signal and information processing over networks.

  • Editor-in-Chief:  Pascal Frossard

  • Scope: The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that expand traditional signal processing concepts from signals defined over vector spaces (e.g., time and space) to signals and information (data) defined over networks, which may be dynamically varying. In this field, the network topology can impose structural relationships on the data or constrain how data is processed.
  • Key topics covered in the journal include:
  • Distributed Algorithms: Development of algorithms for distributed processing tasks such as filtering, detection, estimation, adaptation, learning, and model selection.
  • Data Fusion: Techniques for combining data from multiple sources or nodes within a network to improve the reliability and accuracy of information.
  • Information Diffusion or Evolution: Studies on how information propagates or evolves over networked systems, including dynamics and mechanisms of information dissemination.
  • Applications of Distributed Signal Processing: Practical applications of distributed signal processing techniques in various domains including communications, sensor networks, social networks, biological networks, and more.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  2373776X

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  4.9

  • Subject Area and Category:  Computer Science ,Computer Networks and Communications ,Information Systems,Signal Processing

  • Publication Frequency:  

  • H Index:  44

  • Best Quartile:

    Q1:  Computer Networks and Communications

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  6.8

  • SNIP:  1.215

  • Journal Rank(SJR):  1.201