Top 10 Computer Vision and Pattern Recognition Journals In The World 2026

Are you looking for best Computer Vision and Pattern Recognition journals globally? Then you are in the right place.

Here, we provide a leading Computer Vision and Pattern Recognition journals list, peer-reviewed and top-ranked journals.

The list of popular Computer Vision and Pattern Recognition journals worldwide depends on various ranking factors, such as a journal's impact factor, CiteScore, H-index, peer review process, influence in the field, and overall reputation.

For the top scholarly Computer Vision and Pattern Recognition journals, see the list below.

1. IEEE Transactions on Pattern Analysis and Machine Intelligence

The IEEE Transactions on Pattern Analysis and Machine Intelligence publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern analysis. Areas such as techniques for visual search, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition and relevant specialized hardware and/or software architectures are more...

2. Computational Visual Media

Computational Visual Media is a Single-Blinded peer-reviewed open access journal published quarterly by Tsinghua University Press and Springer. It publishes original high-quality research papers and significant review articles on novel ideas, methods, and systems relevant to visual media. The journal publishes articles that focus on, but are not limited to, the following areas:  • Editing and composition of visual media  • Geometric computing for images and video   • Geometry modeling and processing  • Machine learning for visual media  • Physically based animation  • Realistic rendering  • Recognition and understanding of visual more...

3. AI Open

AI Open is a freely accessible platform to share actionable knowledge and forward-thinking perspectives on the theory of artificial intelligence and its applications. The journal welcomes research articles, review papers, perspectives, short communications and technical notes on all aspects of artificial intelligence and its applications. Topics covered include, but are not limited to: Deep learning and representation learning Graph theory and graph mining Constraints, satisfiability, and search Knowledge representation, reasoning, and logic Machine learning and data mining Knowledge graph and applications Agent-based more...

4. Foundations and Trends in Computer Graphics and Vision

The growth in all aspects of research in the last decade has led to a multitude of new publications and an exponential increase in published research. Finding a way through the excellent existing literature and keeping up to date has become a major time-consuming problem. Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To more...

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