Replace Applied and Computational Harmonic Analysis with:
Applied and Computational Harmonic AnalysisUnited States
Journal of Mathematical Imaging and VisionFrance
Computers in PhysicsUnited States
Multiscale Modeling and SimulationUnited States
Journal of Fourier Analysis and ApplicationsUnited States
Archives of Computational Methods in EngineeringIndia
Foundations of Computational MathematicsUnited States
Constructive ApproximationUnited States
Applied Mechanics ReviewsUnited States
Inverse Problems and ImagingChina
Applied and Computational Harmonic AnalysisUnited StatesView profile →
Citations per field, relative to SIAM Journal on Imaging Sciences
SIAM Journal on Imaging Sciences · 1×
×1.221.7kCVPR
×1.016.1kCM
×0.85.7kBE
×0.52.6kRNMI
×0.83.9kMT
Citations per year, relative to SIAM Journal on Imaging Sciences
SIAM Journal on Imaging Sciences · 1×
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Countries where authors publish in SIAM Journal on Imaging Sciences
Since
Specialization
Citations
This map shows the geographic impact of research published in SIAM Journal on Imaging Sciences. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in SIAM Journal on Imaging Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SIAM Journal on Imaging Sciences more than expected).
Fields of papers published in SIAM Journal on Imaging Sciences
This network shows the impact of papers published in SIAM Journal on Imaging Sciences. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in SIAM Journal on Imaging Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.