Inverse Problems and Imaging

Aims & Scope

Inverse Problems and Imaging publishes research articles of the highest quality that employ innovative mathematical and modeling techniques to study inverse and imaging problems arising in engineering and other sciences.

Every published paper has a strong mathematical orientation employing methods from such areas as control theory, discrete mathematics, differential geometry, harmonic analysis, functional analysis, integral geometry, mathematical physics, numerical analysis, optimization, partial differential equations, and stochastic and statistical methods.

The field of applications includes medical and other imaging, nondestructive testing, geophysical prospection and remote sensing as well as image analysis and image processing.

This journal is committed to recording important new results in its field and will maintain the highest standards of innovation and quality.

To be published in this journal, a paper must be correct, novel, nontrivial and of interest to a substantial number of researchers and readers.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.5
2024	1.20

Journal Rank

Year	Value
2024	11229

Journal Citation Indicator

Year	Value
2024	288

SJR (SCImago Journal Rank)

Year	Value
2024	0.518

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	48

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Photo-acoustic inversion in convex domains

  Citation: 77

  Authors: Frank

• Inverse Problems and Imaging

  Citation: 74

  Authors:

• Besov priors for Bayesian inverse problems

  Citation: 65

  Authors: Masoumeh, Stephen, Andrew

• Restoration of manifold-valued images by half-quadratic minimization

  Citation: 53

  Authors: Gabriele, Johannes, Ralf, Raymond, Ronny

• Towards deconvolution to enhance the grid method for in-plane strain measurement

  Citation: 45

  Authors: Frédéric, Michel

• Automatic segmentation of the femur and tibia bones from X-ray images based on pure dilated residual U-Net

  Citation: 42

  Authors: Weihao, Wenbo, Hongyang, Zexin, Jianxiong, Xinlong, Shoujun, Shijie, Yuanquan

• Surveillance video processing using compressive sensing

  Citation: 40

  Authors: Hong, Wei, Zuowei

• The Bayesian formulation of EIT: Analysis and algorithms

  Citation: 39

  Authors: Matthew M., Andrew M.

• A phaseless inverse scattering problem for the 3-D Helmholtz equation

  Citation: 39

  Authors: Michael V.

• Non-Gaussian statistical inverse problems. Part I: Posterior distributions

  Citation: 33

  Authors: Sari

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