About the Journal | Information Fusion Research

About the Journal

ISSN: 3029-2220(Online)

Information Fusion Research (IFR) is an open-access academic journal dedicated to the study of information fusion. Information fusion is a multi-level and multi-faceted process that involves detecting, combining, correlating, estimating, and integrating multi-source data to achieve accurate state and identity estimations, as well as comprehensive and timely situation and threat assessments.

The journal emphasizes multi-fusion technology as the foundational hardware, while multi-source information serves as the processing focus. IFR welcomes various article types, including original research articles, review articles, editorials, and case reports. The research topics of IFR include but are not limited to:

  1. Data Fusion
  2. Multi-source Information
  3. Situation Awareness
  4. Threat Assessment
  5. Machine Learning
  6. Sensor Integration
  7. Decision Support Systems
  8. Real-time Processing
  9. Coordination Optimization
  10. Cybersecurity & Anomaly Detection

The article processing charges is $800 per article.



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