Computational Visual Media Q1 Unclaimed
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 media • Visual computing for robotics • Visualization and visual analytics Other interdisciplinary research into visual media that combines aspects of computer graphics, computer vision, image and video processing, geometric computing, and machine learning is also within the journal's scope. The publication costs are covered by Tsinghua University so authors do not need to pay an article-processing charge. Presenting research on novel ideas, methods and systems in visual mediaCovers topics such as computer graphics, computer vision, image & video processing, & moreUtilizes a rapid review policy It has an SJR impact factor of 4,608.
Type: Journal
Type of Copyright: CC BY
Languages: English
Open Access Policy: Open Access
Type of publications:
Publication frecuency: -
0 €
Inmediate OANPD
Embargoed OA- €
Non OAMetrics
4,608
SJR Impact factor27
H Index63
Total Docs (Last Year)110
Total Docs (3 years)3855
Total Refs1648
Total Cites (3 years)106
Citable Docs (3 years)19.84
Cites/Doc (2 years)61.19
Ref/DocOther journals with similar parameters
International Journal of Computer Vision Q1
IEEE Transactions on Pattern Analysis and Machine Intelligence Q1
Foundations and Trends in Computer Graphics and Vision Q1
Medical Image Analysis Q1
Pattern Recognition Q1
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