Neural Processing Letters

  in Journal   Posted on September 23, 2020

Journal Ranking & Metrics

G2R Score : 2.97
G2R H-Index : 9
JCR Impact Factor : 2.891
Scopus Citescore : 3.7
SCIMAGO SJR : 0.589
SCIMAGO H-index : 50
Guide2Research Overall Ranking : 355

Journal Information

ISSN : 1370-4621
Publisher :
Periodicity : Bimonthly
Editors-in-Chief : Michel Verleysen, Mohamad H. Hassoun
Journal & Submission Website : https://www.springer.com/journal/11063

Top Scientists who published in this Journal

Number of top scientists* : 22
Documents published by top scientists* : 25
* Based on data published during the last three years.

Aims & Scope of the Journal

Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributions among the artificial neural network community of researchers and users. The Journal publishes technical articles on various aspects of artificial neural networks and machine learning systems. Coverage includes novel architectures, supervised and unsupervised learning algorithms, deep nets, learning theory, network dynamics, self-organization, optimization, biological neural network modelling, and hybrid neural/fuzzy logic/genetic systems. The Journal publishes articles on methodological innovations for the applications of the afore mentioned systems in classification, pattern recognition, signal processing, image and video processing, robotics, control, autonomous vehicles, financial forecasting, big data analytics, and other multidisciplinary applications.

Special Issues on this journal

Closed Special Issues