Journal of Mathematical Imaging and Vision
Springer Netherlands · Netherlands
Aims & Scope✦ Inferred from recent articles
The Journal of Mathematical Imaging and Vision publishes research on mathematical methods and computational techniques for image analysis, processing, and understanding. Topics include image decomposition, filtering, segmentation, registration, and reconstruction, often employing variational methods, differential geometry, and machine learning approaches. The journal also covers theoretical aspects of vision, including receptive field analysis and the application of mathematical tools to diverse imaging modalities like MRI, SAR, and hyperspectral data.
AI-summarised from recent articles · verify on publisher page →
General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
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.
Subject Classification
Web of Science Categories
Scopus Categories
Research Topics (OpenAlex)
You May Also Like
See all →Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref