The Journal of Advances in Information Fusion (JAIF) is a journal that publishes research in the field of information fusion. This field is diverse and comprised of target tracking, detection, estimation, sensor fusion, applications of information fusion, image fusion, information fusion systems architectures, classification, learning, Bayesian and reasoning methods, and data mining.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2010
2011
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2019
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computer Vision and Pattern RecognitionQ4
Information SystemsQ4
Signal ProcessingQ4
Subject Classification
Scopus Categories
Information SystemsComputer Vision and Pattern RecognitionSignal Processing
Research Topics (OpenAlex)
Target Tracking and Data Fusion in Sensor NetworksFault Detection and Control SystemsBayesian Modeling and Causal InferenceGuidance and Control SystemsDistributed Sensor Networks and Detection AlgorithmsRobotics and Sensor-Based LocalizationNeural Networks and ApplicationsIndoor and Outdoor Localization TechnologiesNetwork Security and Intrusion DetectionRobotic Path Planning Algorithms