The International Journal of Image and Data Fusion focuses on the method, technology, and applications in geoinformatics. It provides a source of information for remote sensing image and data fusion methodologies, developments, techniques, and applications. The journal covers image and data fusion techniques for integrating various sources from satellite and airborne platforms.
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Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
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.
Earth and Planetary Sciences (miscellaneous)Q2
Computer Science ApplicationsQ3
Subject Classification
Web of Science Categories
Remote Sensing
Scopus Categories
Computer Science ApplicationsEarth and Planetary Sciences (miscellaneous)
Research Topics (OpenAlex)
Remote-Sensing Image ClassificationAdvanced Image Fusion TechniquesRemote Sensing in AgricultureRemote Sensing and LiDAR ApplicationsRemote Sensing and Land UseImage and Signal Denoising MethodsAutomated Road and Building ExtractionImage Enhancement TechniquesLand Use and Ecosystem ServicesGeochemistry and Geologic Mapping