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Computer Science - Image Processing | Pattern Recognition and Image Analysis

Pattern Recognition and Image Analysis

Pattern Recognition and Image Analysis

Editor-in-Chief: Yuri I. Zhuravlev

ISSN: 1054-6618 (print version)
ISSN: 1555-6212 (electronic version)

Journal no. 11493

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  • Features top papers in pattern recognition, image recognition, analysis, understanding, and processing.
  • Places emphasis on the rapid publishing of concise articles covering theory, methodology, and practical applications.
  • Editorial Board is headed by Yuri Zhuravlev, a prominent Russian mathematician, and Full Member of the Russian Academy of Sciences.

This journal features top papers in pattern recognition, image recognition, analysis, understanding, and processing. Pattern Recognition and Image Analysis places emphasis on the rapid publishing of concise articles covering theory, methodology, and practical applications. Major topics include mathematical theory of pattern recognition, raw data representation, computer vision, image processing, machine learning, computer graphics, data and knowledge bases, neural nets, software, specialized computer architectures, applications, and related areas.

The Editorial Board is headed by Yuri Zhuravlev, a prominent Russian mathematician, and Full Member of the Russian Academy of Sciences. The board also includes distinguished scientists and engineers from the Russian Academy of Sciences, CIS universities and industry, as well as internationally recognized experts in the field from the USA and Europe. The authors are experts in research and applications.

PEER REVIEW

Pattern Recognition and Image Analysis is a peer reviewed journal. We use a single blind peer review format. Our team of reviewers includes 45 reviewers, both internal and external (22%), from 10 countries. The average period from submission to first decision in 2017 was 14 days, and that from first decision to acceptance was 75 days. The final decision on the acceptance of an article for publication is made by the Editorial Board.

Any invited reviewer who feels unqualified or unable to review the manuscript due to the conflict of interests should promptly notify the editors and decline the invitation. Reviewers should formulate their statements clearly in a sound and reasoned way so that authors can use reviewer’s arguments to improve the manuscript. Personal criticism of the authors must be avoided. Reviewers should indicate in a review (i) any relevant published work that has not been cited by the authors, (ii) anything that has been reported in previous publications and not given appropriate reference or citation, (ii) any substantial similarity or overlap with any other manuscript (published or unpublished) of which they have personal knowledge.

Related subjects » Image Processing

Abstracted/Indexed in 

SCOPUS, INSPEC, Google Scholar, ACM Digital Library, CNKI, EBSCO Discovery Service, EI Compendex, Gale, Gale Academic OneFile, OCLC WorldCat Discovery Service, PASCAL, ProQuest ABI/INFORM, ProQuest Advanced Technologies & Aerospace Database, ProQuest Business Premium Collection, ProQuest Central, ProQuest Computing Database, ProQuest Materials Science & Engineering Database, ProQuest Science Database, ProQuest SciTech Premium Collection, ProQuest Technology Collection, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon, Russian Science Citation Index

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    Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications is a per reviewed international journal featuring top papers in pattern recognition, image recognition, analysis, understanding, and processing. Emphasis is laid on rapid publishing of concise articles covering theory, methodology, and applications. Major topics include mathematical theory of pattern recognition and image analysis, raw data representation, computer vision, image mining, processing and understanding, machine learning, computer graphics, forecasting, data and knowledge bases, data mining, neural nets, artificial intelligence, software, specialized computer architectures, applications, and related areas.

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  • Copyright Information

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    Original Russian Edition Copyright © 2010 by the Russian Academy of Sciences and the Borisyak Paleontological Institute, RAS.

    Copyright © 2010 by Pleiades Publishing, Ltd.

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