Journal of Inverse and Ill-Posed Problems

Aims & Scope

This journal aims to present original articles on the theory, numerics and applications of inverse and ill-posed problems.

These inverse and ill-posed problems arise in mathematical physics and mathematical analysis, geophysics, acoustics, electrodynamics, tomography, medicine, ecology, financial mathematics etc.

Articles on the construction and justification of new numerical algorithms of inverse problem solutions are also published.

Issues of the Journal of Inverse and Ill-Posed Problems contain high quality papers which have an innovative approach and topical interest.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1
2024	0.90

SJR (SCImago Journal Rank)

Year	Value
2024	0.513

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	39

Journal Rank

Year	Value
2024	11336

Journal Citation Indicator

Year	Value
2024	223

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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.

• Definitions and examples of inverse and ill-posed problems

  Citation: 217

  Authors: S. I.

• Recovering a potential from Cauchy data in the two-dimensional case

  Citation: 176

  Authors: A. L.

• Carleman estimates for global uniqueness, stability and numerical methods for coefficient inverse problems

  Citation: 171

  Authors: Michael V.

• On an inverse source problem for the heat equation. Application to a pollution detection problem

  Citation: 116

  Authors: A., T.

• Convergence rates and source conditions for Tikhonov regularization with sparsity constraints

  Citation: 99

  Authors: D. A.

• A time delay dynamical model for outbreak of 2019-nCoV and the parameter identification

  Citation: 87

  Authors: Yu, Jin, Yu, Keji

• Reconstruction of the support function for inclusion from boundary measurements

  Citation: 83

  Authors: M.

• Size estimation of inclusion

  Citation: 74

  Authors: M.

• Regularization of linear inverse problems with total generalized variation

  Citation: 70

  Authors: Kristian, Martin

• A sensitivity matrix based methodology for inverse problem formulation

  Citation: 68

  Authors: A., H. T., A., A. L.

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