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Usage

• 22 231Downloads 2022
  Springer measures the usage on the SpringerLink platform according to the COUNTER (Counting Online Usage of NeTworked Electronic Resources) standards.
• 64 Usage Factor 2021/2022
  The Springer Journal Usage Factor 2021/2022 was calculated as suggested by the COUNTER Code of Practice for Usage Factors. It is the median value of the number of downloads in 2021/2022 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

• 1.0 Impact Factor 2022
  Journal Impact Factors are published each summer by Thomson Reuters via Journal Citation Reports ®. Impact Factors and ranking data are presented for the preceding calendar year.
• 0.68Source Normalized Impact per Paper (SNIP) 2022
  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 2022
  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.
• 0.28 SCImago Journal Rank (SJR) 2022
  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.
• 32H-Index 2022
  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.

Pattern Recognition and Image Analysis  is a peer-reviewed journal that publishes the results of fundamental and applied scientific research in the fields of image processing, recognition, analysis and understanding, pattern recognition, artificial intelligence, and related fields of theoretical and applied computer science and applied mathematics. 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. The journal makes it possible to rapidly publish original research articles and critical reviews. It features articles written by the world's leading scientists and solicited by the editorial board. Some of the journal issues are devoted to specific themes or proceedings of international conferences and workshops. The journal is one of the top ten global periodicals on image analysis and pattern recognition and is the only publication on this topic in Central and Eastern Europe. The journal is an international publication and accepts manuscripts originally submitted in English from all countries, along with translated works.

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.

ACM Digital Library, Baidu, 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 AG, Wanfang

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: pria@pleiadesonline.com