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.

USAGE

• 3105Downloads 2023
  Springer measures the usage on the SpringerLink platform according to the COUNTER (Counting Online Usage of NeTworked Electronic Resources) standards.
• 77 Usage Factor 2022/2023
  The Springer Journal Usage Factor 2022/2023 was calculated as suggested by the COUNTER Code of Practice for Usage Factors. It is the median value of the number of downloads in 2022/2023 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.

WEB OF SCIENCE

• 0.8 Impact Factor 2023
  The journal Impact Factor is the average number of times articles from the journal published in the past two years have been cited in the JCR year. It is calculated by dividing the number of citations in the JCR year by the total number of articles published in the two previous years.
• 0.6 5 year Impact Factor 2023
  The 5-year journal Impact Factor is the average number of times articles from the journal published in the past five years have been cited in the JCR year. It is calculated by dividing the number of citations in the JCR year by the total number of articles published in the five previous years.
• Q3Quartile: Statistics & Probability 2023
  Quartiles indicate where a journal’s ranking lies within a particular subject category. These quartiles rank the journals from highest to lowest based on their impact factor. 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.
• 0.29 Journal Citation Indicator (Statistics & Probability) 2023
  The Journal Citation Indicator is a measure of the average Category Normalized Citation Impact (CNCI) of citable items (articles & reviews) published by a journal over a recent three year period. It is used to help you evaluate journals based on other metrics besides the Journal Impact Factor (JIF).

SCOPUS

• 0.6 CiteScore 2023
  CiteScore acts as an indicator of the citation level of peer-reviewed materials, which is calculated as the ratio of the average number of citations to the number of published documents. Therewith, the publication window is equal to four years.
• 0.175 SCImago Journal Rank (SJR) 2023
  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.
• Q4Quartile: Statistics and Probability 2023
  Quartiles indicate where a journal’s ranking lies within a particular subject category. These quartiles rank the journals from highest to lowest based on their SJR. 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.
• 15H-Index 2023
  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.

Mathematical Methods of Statistics  is an international peer-reviewed journal dedicated to the mathematical foundations of statistical theory. It mostly publishes research papers with complete proofs and, occasionally, review papers on particular problems of statistics. Papers dealing with applications of statistics are also published if they contain new theoretical developments to the underlying statistical methods. It aims to provide a platform for research in advanced statistical methodology and reports studies where such methodology is effectively used or stimulates further development.

ANVUR, Australian Business Deans Council (ABDC) Journal Quality List, BFI List, Baidu, CLOCKSS, CNKI, CNPIEC, Current Index to Statistics, Dimensions, EBSCO, Emerging Sources Citation Index, Google Scholar, INIS Atomindex, Japanese Science and Technology Agency (JST), Mathematical Reviews, Naver, OCLC WorldCat Discovery Service, Portico, ProQuest, SCImago, SCOPUS, TD Net Discovery Service, UGC-CARE List (India), Wanfang, zbMATH

Queries about submission issues, peer review process, or the status of your manuscript should be sent to the Editorial Office of Mathematical Methods of Statistics: mmstat@pleiadesonline.com