Pattern Recognition and Image Analysis

Publisher: Pleiades Publishing, Ltd.

ABOUT THIS JOURNAL

Publishing model: Hybrid

Authors will have the option to choose how their article is published.

Traditional publishing model: published articles are made available to institutions and individuals who subscribe to this journal or who pay to read specific articles. There is no charge to publish.

Open Access (OA) model: published articles are freely and permanently available online. Anyone, anywhere can read and build upon this research. If you would be interested in publishing Open Access in this journal please follow the link.

Journal Metrics

Usage
  • 17472Downloads 2020
    Springer measures the usage on the SpringerLink platform according to the COUNTER (Counting Online Usage of NeTworked Electronic Resources) standards.
  • 59 Usage Factor 2019/2020
    The Springer Journal Usage Factor 2019/2020 was calculated as suggested by the COUNTER Code of Practice for Usage Factors. It is the median value of the number of downloads in 2019/2020 for all articles published online in that particular journal during the same time period. The Usage Factor calculation is based on COUNTER-compliant usage data on the SpringerLink platform. (Counting Online Usage of NeTworked Electronic Resources) standards.

Impact
  • 0.77Source Normalized Impact per Paper (SNIP) 2020
    Source Normalized Impact per Paper (SNIP) measures contextual citation impact by weighting citations based on the total number of citations in a subject field. The impact of a single citation is given higher value in subject areas where citations are less likely, and vice versa.
  • Q3Quartile: Computer Vision and Pattern Recognition 2020
    The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.
  • 0.26 SCImago Journal Rank (SJR) 2020
    SCImago Journal Rank (SJR) is a measure of scientific influence of scholarly journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from.
  • 25H-Index 2020
    A journal has an H index of h if it published h papers each of which has been cited in other journals at least h times. Calculations are based on Scopus.

SCOPE

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. Articles can be submitted either in English or Russian. The English language is preferable. 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 Russian Federation, Central and Eastern Europe.

READERSHIP

1) scientists, specialists, teachers of general education and technical universities, engineers, developers of information technologies and software and algorithmic complexes and systems, postgraduates and undergraduates specializing in:

a) image analysis and pattern recognition;
b) computer science and applied mathematics.

2) scientists, specialists, teachers of general education and technical universities, engineers, developers of information technologies and software and algorithmic complexes and systems, postgraduates and undergraduates of various specialties who are faced with the tasks of analyzing and evaluating poorly formalized, poorly structured, incomplete, contradictory and noisy information, including applied problems of image recognition and analysis.

ABSTRACTING & INDEXING

ACM Digital Library, CLOCKSS, CNKI, CNPIEC, Dimensions, EBSCO Discovery Service, EI Compendex, Emerging Sources Citation Index, Google Scholar, INSPEC, Japanese Science and Technology Agency (JST), Naver, OCLC WorldCat Discovery Service, Portico, ProQuest ABI/INFORM, ProQuest Advanced Technologies & Aerospace Database, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon, Russian Science Citation Index, SCImago, SCOPUS, TD Net Discovery Service, UGC-CARE List (India), WTI Frankfurt eG

Contact the journal

Queries about submission issues, peer review process, or the status of your manuscript should be sent to the Editorial Office of Pattern Recognition and Image Analysis: patrec@pleiadesonline.com