IEEE Transactions on Signal and Information Processing over Networks

Journal Title
IEEE Transactions on Signal and Information Processing over Networks

IEEE T SIGNAL INF PR

ISSN / eISSN
2373-776X / 2373-776X
Aims and Scope
The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.
Subject Area

ENGINEERING, ELECTRICAL & ELECTRONIC

TELECOMMUNICATIONS

CiteScore
5.80 View Trend
CiteScore Ranking
Category Quartile Rank
Computer Science - Computer Networks and Communications Q2 #106/379
Computer Science - Information Systems Q2 #107/379
Computer Science - Signal Processing Q2 #38/122
Web of Science Core Collection
Science Citation Index Expanded (SCIE) Social Sciences Citation Index (SSCI)
Indexed -
Category (Journal Citation Reports 2023) Quartile
ENGINEERING, ELECTRICAL & ELECTRONIC - SCIE Q2
TELECOMMUNICATIONS - SCIE Q3
Country/Area of Publication
United States
Publisher
Institute of Electrical and Electronics Engineers Inc.
Annual Article Volume
78
Open Access
NO
Contact
445 HOES LANE, PISCATAWAY, USA, NJ, 08855-4141
Verified Reviews
Note: Verified reviews are sourced from across review platforms and social media globally.
Returned after 3 months of initial review for major revisions; after being given 6 weeks for revisions, it was accepted in just 20 days.

The journal's speed is still quite fast, and the reviewers are also quite professional, able to raise very good questions. If doing theoretical work, this journal is still very good and more accommodating.

Overall, TSP is a bit more famous in the field of SP, and TSIPN can serve as its complement. Now TSP is also very fast.
2023-01-09
This journal is still very good. The contributing authors come from various prestigious universities around the world, and the editors are mostly professors from renowned universities as well. We hope to have a higher influence in the domestic sphere.
2021-02-26

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