IEEE Transactions on Network Science and Engineering

  in Journal   Posted on September 23, 2020

Journal Ranking & Metrics

G2R Score : 5.61
G2R H-Index : 17
JCR Impact Factor : 5.213
Scopus Citescore : 4.1
SCIMAGO SJR : 0.828
SCIMAGO H-index : 16
Guide2Research Overall Ranking : 146

Journal Information

ISSN : 2327-4697
Publisher :
Journal & Submission Website : https://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=6488902

Top Scientists who published in this Journal

Number of top scientists* : 72
Documents published by top scientists* : 101
* Based on data published during the last three years.

Aims & Scope of the Journal

The IEEE Transactions on Network Science and Engineering is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks. The core topics covered include: Network Sampling and Measurement; Learning of Network Topology; Modeling and Estimation of Network Dynamics; Network Inference; Models of Complex Networks; Modeling of Network Evolution; Network Design; Consensus, Synchronization and Control of Complex Networks; Interactions between and Co-evolution of Different Genres of Networks; Community Formation and Detection; Complex Network Robustness and Vulnerability; Network…