Machine Vision and Applications

SJR Rank #11,983H-index: 84SJR: 0.496Best quartile: Q2APC: US$3,490
Journal website: aims, scope and author guidelines
Publisher

Springer Verlag

Country

Germany

Type

journal

SJR by Edition

2022202500.150.30.450.6

Subject Categories

  • Computer Science ApplicationsQ2
  • Computer Vision and Pattern RecognitionQ2
  • Hardware and ArchitectureQ2
  • SoftwareQ2

Areas: Computer Science

Most published research topics

Advanced Vision and ImagingVideo Surveillance and Tracking MethodsAdvanced Image and Video Retrieval TechniquesRobotics and Sensor-Based LocalizationImage and Object Detection TechniquesHuman Pose and Action RecognitionImage Retrieval and Classification TechniquesIndustrial Vision Systems and Defect DetectionOptical measurement and interference techniquesAdvanced Neural Network Applications

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs090180270360

Documents per Year

2022202503570105140

Detailed Information

ISSN

1432-1769, 0932-8092

SJR Best Quartile

Q2

Region

Western Europe

Citations per Document (2 years)

2.33

References per Document

51.50

Coverage

1988-2026

Scope

Machine Vision and Applications publishes high-quality technical contributions in machine vision research and development. Specifically, the editors encourage submittals in all applications and engineering aspects of image-related computing. In particular, original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision, are all within the scope of the journal. Particular emphasis is placed on engineering and technology aspects of image processing and computer vision. The following aspects of machine vision applications are of interest: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-end sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization. Papers must include a significant experimental validation component.

Metrics from SCImago Journal Rank 2025. View on SCImago