Ranking & Metrics Journal Information Aims & Scope of the Journal Special Issues
Information Fusion

Information Fusion

Research
Impact Score 10.89

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: 10.89
JCR Impact Factor: 13.669
SCIMAGO SJR: 3.112
Scopus Citescore: 21.9
SCIMAGO H-index: 93
Research Ranking (Computer Science) 38
Number of Top scientists: 67
Documents by top scientists: 100

Journal Information

ISSN: 1566-2535
Publisher: Information Fusion
Periodicity: Quarterly
Editors-in-Chief:

Aims & Scope of the Journal

Information Fusion publishes original research papers in the areas of Databases & Information Systems, General Computer Science, Image Processing & Computer Vision and Machine Learning & Artificial intelligence. The journal is aimed at academics, practitioners and researchers who keen on such areas of academic research . Information Fusion presents high-quality, original documents where all submitted articles are peer reviewed to assure the best quality. The journal welcomes submissions from the research community where emphasis will be placed on the novelty and the practical importance of the published research.



Information Fusion is covered by various abstracting/indexing services including Scopus, Journal Citation Reports ( Clarivate ) and Guide2Research. A number of renowned scientists considered this journal to publish their scholarly documents including Francisco Herrera, Fuad E. Alsaadi, Giancarlo Fortino and Zidong Wang.

For more information on the instructions and submission requirements for authors, you are advised to see the official website for the journal for Information Fusion at https://www.sciencedirect.com/journal/information-fusion .

Special Issues

Publisher Journal Details Closing date G2R Score
Data Fusion for Trust Evaluation

01-12-2020

10.89

Fusion from Big Data to Smart Data

01-12-2020

10.89

Multi-Source Information Fusion for Smart Health with AI

31-10-2020

10.89

Advance Machine Learning Fusion Approaches for COVID-19

01-09-2020

10.89

Advances in Multimodality Data Fusion in Neuroimaging

01-05-2020

10.89

Knowledge Graph for Information Fusion

05-01-2020

10.89

Information Fusion for Emotion-aware Intelligent Systems

15-02-2018

10.89