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Journal of Mining Institute

SAINT-PETERSBURG MINING UNIV, Russian Federation

Journal of Mining Institute is an academic journal published by SAINT-PETERSBURG MINING UNIV (Russian Federation). Identifiers: ISSN 2411-3336, eISSN 2541-9404. Indexed in SCIE, SCOPUS. Metrics: JIF 2.9, CiteScore 8.8, SJR 1.351, SNIP 1.89. Subject areas: MINING & MINERAL PROCESSING. tlooto lists 223 papers from this journal.

CiteScore

8.80

Scopus citation metric

SJR

1.351

SCImago rank

SNIP

1.89

Source normalized impact

Percentage rank

-

JIF percentile rank

Journal profile

ISSN
2411-3336
eISSN
2541-9404
Abbreviation
J MIN INST
Publisher
SAINT-PETERSBURG MINING UNIV
Country
Russian Federation

Web of Science categories

No Web of Science category data available.

Scopus ASJC categories

1905 Economic Geology1907 Geology1909 Geotechnical Engineering and Engineering Geology2101 Energy (miscellaneous)

Papers in this journal

Recent papers

  1. Carbon capture and storage: net zero contribution and cost estimation approaches

    2023 · 11 citations

  2. Laboratory, numerical and field assessment of the effectiveness of cyclic geomechanical treatment on a tournaisian carbonate reservoir

    2023 · 4 citations

  3. Comprehensive study of filtration properties of pelletized sandy clay ores and filtration modes in the heap leaching stack

    2023 · 5 citations

  4. Development of methodology for scenario analysis of investment projects of enterprises of the mineral resource complex

    2023 · 41 citations

  5. Feasibility study of using cogeneration plants at Kuzbass coal mines

    2023 · 8 citations

Most cited papers

  1. Assessment of the role of the state in the management of mineral resources

    2022 · 79 citations

  2. Improving the efficiency of using resource base of liquid hydrocarbons in Jurassic deposits of Western Siberia

    2019 · 49 citations

  3. Barriers to implementation of hydrogen initiatives in the context of global energy sustainable development

    2020 · 44 citations

  4. Oilfield service companies as part of economy digitalization: assessment of the prospects for innovative development

    2020 · 32 citations

  5. Intelligent monitoring of the condition of hydrocarbon pipeline transport facilities using neural network technologies

    2022 · 31 citations