International Journal of Computer Vision

Aims & Scope

International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field.

Regular articles present major technical advances of broad general interest.

Survey articles offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics.

Coverage includes: - Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors. - Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media, and more. - Connections with human perception: computational and architectural aspects of human vision.

The journal also features book reviews, position papers, editorials by leading scientific figures, as well as additional on-line material, such as still images, video sequences, data sets, and software.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	9.3
2024	11.60

SJR (SCImago Journal Rank)

Year	Value
2024	3.136

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	232

Journal Rank

Year	Value
2024	663

Journal Citation Indicator

Year	Value
2024	9156

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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, 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.

• Distinctive Image Features from Scale-Invariant Keypoints

  Citation: 43497

  Authors: David G.

• ImageNet Large Scale Visual Recognition Challenge

  Citation: 28464

  Authors: Olga, Jia, Hao, Jonathan, Sanjeev, Sean, Zhiheng, Andrej, Aditya, Michael, Alexander C., Li

• The Pascal Visual Object Classes (VOC) Challenge

  Citation: 14668

  Authors: Mark, Luc, Christopher K. I., John, Andrew

• Snakes: Active contour models

  Citation: 12025

  Authors: Michael, Andrew, Demetri

• Robust Real-Time Face Detection

  Citation: 9747

  Authors: Paul, Michael J.

• Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope

  Citation: 4992

  Authors: Aude, Antonio

• Selective Search for Object Recognition

  Citation: 4846

  Authors: J. R. R., K. E. A., T., A. W. M.

• Efficient Graph-Based Image Segmentation

  Citation: 4841

  Authors: Pedro F., Daniel P.

• The Pascal Visual Object Classes Challenge: A Retrospective

  Citation: 4807

  Authors: Mark, S. M. Ali, Luc, Christopher K. I., John, Andrew

• A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms

  Citation: 4737

  Authors: Daniel, Richard

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