Computer Vision Innovation and Research (CVIR) is an international peer-reviewed journal that publishes original research articles, review papers, and technical studies in the field of computer vision and intelligent visual systems. The journal aims to advance scientific knowledge and foster innovation by disseminating cutting-edge research, methodologies, and applications related to visual data understanding.
The journal focuses on both theoretical and applied aspects of computer vision, including but not limited to image and video processing, pattern recognition, machine learning and deep learning for vision, object detection and tracking, medical and biological image analysis, biometric and facial recognition systems, autonomous and intelligent systems, visual analytics, and real-time vision applications. Interdisciplinary research integrating computer vision with artificial intelligence, robotics, data science, and human–computer interaction is strongly encouraged.
Computer Vision Innovation and Research is committed to maintaining high academic standards, promoting open scientific discussion, and supporting the development of innovative vision-based solutions for real-world challenges.
| Quartile | Subject Area Category |
| Q3 | Applied Psychology |
| Q3 | Clinical Psychology |
| Q4 | Experimental and Cognitive Psychology |
| Year | SJR |
| 2022 | 0.133 |
| 2023 | 0.207 |
| 2024 | 0.273 |
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