Pattern Recognition and Image Analysis

Publisher: Pleiades Publishing, Ltd.

ISSN PRINT: 1054-6618
ISSN ONLINE: 1555-6212

Editor-in-Chief:
Yuri I. Zhuravlev

ABOUT THIS JOURNAL

Journal Metrics

Usage
  • 10209Downloads 2018
    Springer measures the usage on the SpringerLink platform according to the COUNTER (Counting Online Usage of NeTworked Electronic Resources) standards.
  • 35 Usage Factor 2017/2018
    The Springer Journal Usage Factor 2017/18 was calculated as suggested by the COUNTER Code of Practice for Usage Factors. It is the median value of the number of downloads in 2017/18 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
  • 0.70Source Normalized Impact per Paper (SNIP) 2018
    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 Graphics and Computer-Aided Design 2018
    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.
  • 0.21 SCImago Journal Rank (SJR) 2018
    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.
  • 19H-Index 2018
    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

Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications  is a peer reviewed international journal featuring top papers in pattern recognition and analysis, understanding, and processing of images. Emphasis is put 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.

READERSHIP

Computer Science Professionals, Scientists, Engineers, PhD Students, Graduate Students. Professionals facing with pattern recognition and image analysis application problems.

ABSTRACTING & INDEXING

SCOPUS, INSPEC, Google Scholar, ACM Digital Library, CNKI, EBSCO Discovery Service, EI Compendex, Gale, Gale Academic OneFile, OCLC WorldCat Discovery Service, ProQuest ABI/INFORM, ProQuest Advanced Technologies & Aerospace Database, ProQuest Business Premium Collection, ProQuest Central, ProQuest Computer and Information Systems Abstracts, 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.

CONTACTS

Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, Moscow, Russia
Building 2, 44 Vavilov str., Moscow, 119333 Russia
Phone: +7 (499) 135-9033, 135-8831
Fax: +7 (499) 135-9033
E-mail: igourevi@ccas.ru; pria@ccas.ru