The purpose of the journal is to publish high-quality peer-reviewed scientific and technical materials that present the results of fundamental and applied scientific research in the field of image processing, recognition, analysis and understanding, pattern recognition, artificial intelligence, and related fields of theoretical and applied computer science and applied mathematics. The policy of the journal provides for the rapid publication of original scientific articles, analytical reviews, articles of the world's leading scientists and specialists on the subject of the journal solicited by the editorial board, special thematic issues, proceedings of the world's leading scientific conferences and seminars, as well as short reports containing new results of fundamental and applied research in the field of mathematical theory and methodology of image analysis, mathematical theory and methodology of image recognition, and mathematical foundations and methodology of artificial intelligence. The journal also publishes articles on the use of the apparatus and methods of the mathematical theory of image analysis and the mathematical theory of image recognition for the development of new information technologies and their supporting software and algorithmic complexes and systems for solving complex and particularly important applied problems. The main scientific areas are the mathematical theory of image analysis and the mathematical theory of pattern recognition. The journal also embraces the problems of analyzing and evaluating poorly formalized, poorly structured, incomplete, contradictory and noisy information, including artificial intelligence, bioinformatics, medical informatics, data mining, big data analysis, machine vision, data representation and modeling, data and knowledge extraction from images, machine learning, forecasting, machine graphics, databases, knowledge bases, medical and technical diagnostics, neural networks, specialized software, specialized computational architectures for information analysis and evaluation, linguistic, psychological, psychophysical, and physiological aspects of image analysis and pattern recognition, applied problems, and related problems.

Pattern Recognition and Image Analysis   is a hybrid journal that publishes mostly subscription articles that are free of charge for the authors, but also accepts Open Access articles with article processing charges. The journal is one of the top 10 global periodicals on image analysis and pattern recognition and is the only publication on this topic in the Central and Eastern Europe.
 

 

PEER REVIEW

Pattern Recognition and Image Analysis is the journal in which all articles are peer reviewed. We use a single blind peer review format. The final decision on the publication of the manuscript is made by the Editor-in-Chief together with the Deputy Editors-in-Chief, and, if necessary, together with other members of 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.
  • 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.

Journal information

Editor-in-Chief
  • Igor A. Sokolov
Publishing model
Hybrid. How to publish with us, including Open Access

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19,276 (2021)
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About this journal

Electronic ISSN
1555-6212
Print ISSN
1054-6618
Abstracted and indexed in
  1. ACM Digital Library
  2. Baidu
  3. CLOCKSS
  4. CNKI
  5. CNPIEC
  6. Dimensions
  7. EBSCO Discovery Service
  8. EI Compendex
  9. Emerging Sources Citation Index
  10. Google Scholar
  11. INSPEC
  12. Japanese Science and Technology Agency (JST)
  13. Naver
  14. OCLC WorldCat Discovery Service
  15. Portico
  16. ProQuest ABI/INFORM
  17. ProQuest Advanced Technologies & Aerospace Database
  18. ProQuest-ExLibris Primo
  19. ProQuest-ExLibris Summon
  20. Russian Science Citation Index
  21. SCImago
  22. SCOPUS
  23. TD Net Discovery Service
  24. UGC-CARE List (India)
  25. WTI AG
  26. Wanfang
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