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

• 36858Downloads 2023
  Springer measures the usage on the SpringerLink platform according to the COUNTER (Counting Online Usage of NeTworked Electronic Resources) standards.
• 28 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.

SCOPUS

• 1.2 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.
• 0.69Source Normalized Impact per Paper (SNIP) 2023
  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.
• 0.262 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.
• Q3Quartile: Industrial and Manufacturing Engineering 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.
• 26H-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.

Russian Engineering Research  is a peer-reviewed journal that publishes articles on mechanical and production engineering. The journal covers the development of different branches of mechanical engineering, new technologies, and tools for machine and materials design. The journal focuses on operations research and production-line layout, industrial robots and manipulators, quality control and process engineering, kinematic analysis of machine assemblies, and computerized integrated manufacturing systems. Russian Engineering Research  publishes English translations of articles selected from Vestnik Mashinostroeniya  and STIN  and also accepts original manuscripts in English from all countries. These should be submitted to these two source journals. The source of each article is described at the article level on the title pages. The peer review policies are the same for all manuscripts. The selection of articles for Russian Engineering Research  is made by the Editors-in-Chief of Vestnik Mashinostroeniya  and STIN.

Baidu, CLOCKSS, CNKI, CNPIEC, Dimensions, EBSCO, EI Compendex, Google Scholar, INIS Atomindex, INSPEC, Japanese Science and Technology Agency (JST), Naver, OCLC WorldCat Discovery Service, Portico, ProQuest, SCImago, SCOPUS, TD Net Discovery Service, UGC-CARE List (India), Wanfang

Queries about submission issues, peer review process, or the status of your manuscript should be sent to the Editorial Office of Russian Engineering Research: rusenres@pleiadesonline.com