IET Computer Vision - Impact Factor

IET Computer Vision | 2025 Impact Factor:1.4 | Cite Score:3.5 | SCOPUS Q2

Impact Factor and Journal Rank of IET Computer Vision

About: IET Computer Vision is a peer-reviewed journal dedicated to the dissemination of high-quality research in the field of computer vision. The journal focuses on both the theoretical and practical aspects of computer vision, providing a platform for researchers, engineers, and practitioners to share their latest findings and innovations.
Impact and Significance
IET Computer Vision is significant for several reasons:
Cutting-Edge Research: The journal publishes cutting-edge research that advances the field of computer vision.
Interdisciplinary Appeal: It attracts contributions from various disciplines, including computer science, engineering, and applied mathematics, promoting interdisciplinary research.
Real-World Applications: Many articles focus on practical applications of computer vision in areas such as healthcare, security, and robotics.
High Visibility: As part of the IET (Institution of Engineering and Technology) portfolio, the journal enjoys high visibility and accessibility among researchers and professionals worldwide.
Rigorous Peer Review: The journal maintains a rigorous peer-review process, ensuring the quality and relevance of published articles.
Types of Articles Accepted
IET Computer Vision accepts a variety of submission types, including:
Research Articles: Original research papers presenting new findings and advancements in computer vision.
Review Articles: Comprehensive reviews of the current state of research on specific topics within computer vision.
Short Communications: Brief reports on novel findings or preliminary research in the field.
Technical Notes: Articles focusing on the development and validation of new techniques and tools for computer vision.
Case Studies: Studies demonstrating the application of computer vision techniques to solve real-world problems.
Special Issues: Collections of articles focused on specific themes or emerging areas within computer vision.

Journal Home: Journal Homepage

Editor-in-Chief: Majid Mirmehdi

Scope: IET Computer Vision is a peer-reviewed journal that publishes high-quality research articles, reviews, and technical notes on all aspects of computer vision. The journal aims to advance the field by providing a platform for the dissemination of innovative findings and developments. The journal covers a broad range of topics within computer vision, including but not limited to:
Image Processing: Research on techniques for processing and enhancing images, including filtering, segmentation, and restoration.
Object Recognition: Studies on methods for detecting and recognizing objects within images and videos, including deep learning approaches and feature extraction techniques.
3D Vision: Research on the reconstruction and interpretation of three-dimensional scenes from images, including stereo vision, structure from motion, and depth estimation.
Motion Analysis: Studies on the analysis of motion in image sequences, including optical flow, tracking, and activity recognition.
Pattern Recognition: Research on the classification and interpretation of visual patterns, including face recognition, handwriting recognition, and texture analysis.
Computer Vision Applications: Studies on the application of computer vision techniques to various domains, such as robotics, medical imaging, surveillance, and autonomous vehicles.
Visual Learning: Research on methods for learning visual representations and models from data, including supervised, unsupervised, and reinforcement learning.
Scene Understanding: Studies on the interpretation and understanding of complex scenes, including semantic segmentation, scene parsing, and context modeling.
Biometrics: Research on the use of computer vision techniques for biometric identification and verification, including fingerprint, iris, and gait recognition.
Visual Computing: Studies on the computational aspects of visual processing, including GPU acceleration, parallel processing, and hardware implementation.