Journal of Mathematical Imaging and Vision

Aims & Scope

The Journal of Mathematical Imaging and Vision is a technical journal publishing important new developments in mathematical imaging.

The journal publishes research articles, invited papers, and expository articles.

Current developments in new image processing hardware, the advent of multisensor data fusion, and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science.

This growth has resulted in the development of highly sophisticated mathematical models and theories.

The journal emphasizes the role of mathematics as a rigorous basis for imaging science.

This provides a sound alternative to present journals in this area.

Contributions are judged on the basis of mathematical content.

Articles may be physically speculative but need to be mathematically sound.

Emphasis is placed on innovative or established mathematical techniques applied to vision and imaging problems in a novel way, as well as new developments and problems in mathematics arising from these applications.

The scope of the journal includes: computational models of vision; imaging algebra and mathematical morphology mathematical methods in reconstruction, compactification, and coding filter theory probabilistic, statistical, geometric, topological, and fractal techniques and models in imaging science inverse optics wave theory.

Specific application areas of interest include, but are not limited to: all aspects of image formation and representation medical, biological, industrial, geophysical, astronomical and military imaging image analysis and image understanding parallel and distributed computing computer vision architecture design.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.5
2024	1.30

SJR (SCImago Journal Rank)

Year	Value
2024	0.491

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	83

Journal Rank

Year	Value
2024	11769

Journal Citation Indicator

Year	Value
2024	299

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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 Computer Science, Mathematics and Physics and Astronomy, 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.

• A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging

  Citation: 3156

  Authors: Antonin, Thomas

• Affine Invariant Flows in the Beltrami Framework

  Citation: 1410

  Authors: Nir

• Fast Global Minimization of the Active Contour/Snake Model

  Citation: 692

  Authors: Xavier, Selim, Pierre, Jean-Philippe, Stanley

• Image Sharpening by Flows Based on Triple Well Potentials

  Citation: 561

  Authors: Guy, Nir, Yehoshua Y.

• Metrics for 3D Rotations: Comparison and Analysis

  Citation: 550

  Authors: Du Q.

• Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements

  Citation: 525

  Authors: Xavier

• Regularizing Flows for Constrained Matrix-Valued Images

  Citation: 495

  Authors: C., D., R., O.

• An Algorithm for Total Variation Minimization and Applications

  Citation: 375

  Authors: Antonin

• On Advances in Statistical Modeling of Natural Images

  Citation: 367

  Authors: A., A.B., E.P., S.-C.

• An Inertial Forward-Backward Algorithm for Monotone Inclusions

  Citation: 319

  Authors: Dirk A., Thomas

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