The journal publishes research on inverse problems, focusing on theoretical foundations, numerical methods, and applications. Topics include signal and image recovery, parameter estimation in physical models, and the development of regularization techniques. Specific areas of investigation involve sparse signal recovery, image denoising, inverse scattering, and conductivity problems, often employing variational approaches, Bayesian inference, and machine learning methods.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
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.
AnalysisQ2
Control and OptimizationQ2
Discrete Mathematics and CombinatoricsQ2
Modeling and SimulationQ2
Subject Classification
Web of Science Categories
Mathematics, AppliedPhysics, Mathematical
Scopus Categories
Discrete Mathematics and CombinatoricsControl and OptimizationAnalysisModeling and Simulation
Research Topics (OpenAlex)
Numerical methods in inverse problemsMicrowave Imaging and Scattering AnalysisAdvanced Mathematical Modeling in EngineeringImage and Signal Denoising MethodsSparse and Compressive Sensing TechniquesElectrical and Bioimpedance TomographyMedical Imaging Techniques and ApplicationsMedical Image Segmentation TechniquesAdvanced Image Processing TechniquesUltrasonics and Acoustic Wave Propagation