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We are pleased to announce that, as of January 2019, the IEEE Transactions on Signal and Information Processing over Networks has formally been accepted for indexing by the Clarivate Analytics Web of Science.
Articles published in TSIPN as of March 2016 will be covered in the following Clarivate Analytics products:
TSIPN will be assigned an impact factor in June 2019, following Clarivate's yearly assessment of citation tracking via the Journal Citation Reports. The impact factor will be posted on the TSIPN website as soon as it has been released by Clarivate.
To access indexing data or learn more about the indexing platform, please visit the Clarivate Analytics Web of Science website.
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.
The Transactions encourages authors to make their publications reproducible by making all information needed to reproduce the presented results available online. This typically requires publishing the code and data used to produce the publication's figures and tables on a website; see the supplemental materials section of the Information for Authors page. It gives other researchers easier access to the work, and facilitates fair comparisons.
It is now possible to submit for review and publish in Xplore supporting multimedia material such as speech samples, images, movies, matlab code etc. A multimedia graphical abstract can also be displayed along with the traditional text. More information is available under Multimedia Materials at the IEEE Author Digital Toolbox.
Impact factor: 3.664
Eigenfactor™ Score: 0.0044
Article Influence Score: 1.85