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Computer Vision and Image Analysis publishes work focused on all aspects of developing vision and image analysis technology from a computational perspective. The section welcomes submissions from academic and industry researchers that seek to advance fundamentals of computer vision and image analysis or develop applications of these principles within other related disciplines.
Indexed in: Google Scholar, CrossRef, CLOCKSS, OpenAIRE
Computer Vision and Image Analysis welcomes submissions of the following article types: Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review and Specialty Grand Challenge.
All manuscripts must be submitted directly to the section Computer Vision and Image Analysis, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Computer Vision and Image Analysis will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in all Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Computer Science.
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