Ranking & Metrics Journal Information Aims & Scope of the Journal Special Issues
Journal of Communications and Information Networks

Journal of Communications and Information Networks

Research
Impact Score 1.49

OFFICIAL WEBSITE

Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing top scientists in addition to the h-index estimated from the scientific papers published by top scientists. See more details on our methodology page.

Research Impact Score: 1.49
JCR Impact Factor: 0
SCIMAGO SJR: 0.557
Scopus Citescore: 0
SCIMAGO H-index: 43
Research Ranking (Computer Science) 608
Number of Top scientists: 8
Documents by top scientists: 8

Journal Information

ISSN: 2096-1081
Publisher: Journal of Communications and Information Networks
Periodicity:
Editors-in-Chief: Wei Zhang

Aims & Scope of the Journal

Journal of Communications and Information Networks publishes original research contributions in the areas of Computer Networks and Communications. The journal is intended for academics, practitioners and researchers who keen on such topics of academic research . Journal of Communications and Information Networks presents high-quality, original contributions where all submitted papers are peer reviewed to provide top quality. The journal encourages submissions from the research community where attention will be on the originality and the practical significance of the published work.



Journal of Communications and Information Networks is listed in a wide variety of abstracting and indexing datasets such as Scopus, Web of Science and Guide2Research. Many leading researchers have published their research contributions at this Journal including Xiang Cheng, Ying-Chang Liang, Pan Hui and Yong Li.

For more details on the instructions and submission provisions for authors, please see the official website for the journal for Journal of Communications and Information Networks at https://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=8892389 .

Special Issues

Publisher Journal Details Closing date G2R Score
Computational Methods and Learning Approaches in Data Representation

Computational Methods and Learning Approaches in Data Representation

Journal of Communications and Information Networks

20-11-2021

1.49