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    Mathematical and Computational Forestry and Natural-Resource Sciences

    Mathematical and Computational Forestry and Natural-Resource Sciences is Scopus-indexed (Q4, CiteScore 0.5), WoS ESCI. Published by University of Georgia.

    Checked against the index lists dated 4 October 2026.

    ISSN 1946-7664Verify ISSN ↗

    Publisher: University of Georgia

    Scopus · Q4WoS · ESCI
    0.5
    CiteScore 2025
    Scopus
    Q4
    Best quartile
    rank 164 of 181 · 9th pctile
    2
    Indexed in
    major indexes

    Cost to publish: No APC data — check the publisher

    ScopusElsevier Scopus
    Status
    Active
    Coverage
    2009–2025
    Source type
    Journal
    Open access
    No
    CiteScore
    0.5
    SJR · SCImago
    0.107
    Q4 SJR quartile
    H-index
    15
    Best quartile
    Q4 · 9th pctile
    Subject areaRankPctileQ
    Forestry164 / 1819thQ4
    Computer Science Applications932 / 10228thQ4
    Environmental Engineering224 / 2417thQ4
    Applied Mathematics631 / 6807thQ4
    View this source on Scopus.com
    Web of ScienceClarivate (SCIE/SSCI/AHCI/ESCI)
    Collections
    ESCI
    Categories
    Forestry
    View this source on Web of Science Check JIF in JCR
    DOAJDirectory of Open Access Journals (live)
    Not in DOAJ
    Open accessNot registered as fully open access

    Not listed in: DOAJ, ABDC, ABS / AJG, FT50, UT Dallas, ONOS (subscription), ONOS (APC covered)

    Quick answers

    Is Mathematical and Computational Forestry and Natural-Resource Sciences indexed in Scopus?

    Yes — actively indexed in Scopus, coverage 2009–2025, best quartile Q4, CiteScore 0.5.

    What quartile is Mathematical and Computational Forestry and Natural-Resource Sciences in Scopus?

    Mathematical and Computational Forestry and Natural-Resource Sciences is Q4 in Forestry (rank 164 of 181), Q4 in Computer Science Applications (rank 932 of 1022) and Q4 in Environmental Engineering (rank 224 of 241), by CiteScore 2025. It is ranked in 4 subject areas in all.

    What is the impact factor of Mathematical and Computational Forestry and Natural-Resource Sciences?

    Mathematical and Computational Forestry and Natural-Resource Sciences is indexed in the Emerging Sources Citation Index, so it may have a Journal Impact Factor in Clarivate's Journal Citation Reports. JCR is paid, so check it for the current value. The closest free measure is its Scopus CiteScore 0.5, which places it in quartile Q4 at the 9th percentile of its subject. Its SCImago Journal Rank (SJR, a free Scopus-based metric) is 0.107, quartile Q4, with an H-index of 15.

    Who publishes Mathematical and Computational Forestry and Natural-Resource Sciences and what is its ISSN?

    Mathematical and Computational Forestry and Natural-Resource Sciences is published by University of Georgia. Its ISSN is 1946-7664.

    Is Mathematical and Computational Forestry and Natural-Resource Sciences in Web of Science?

    Yes — indexed in the Emerging Sources Citation Index.

    Is Mathematical and Computational Forestry and Natural-Resource Sciences open access?

    No — it is not registered as an open-access journal in DOAJ or Scopus.

    How well cited is Mathematical and Computational Forestry and Natural-Resource Sciences? — open metrics via OpenAlex

    Mathematical and Computational Forestry and Natural-Resource Sciences has an h-index of 10 and a 2-year mean of 0 citations per paper (OpenAlex). Its Scopus CiteScore is 0.5, quartile Q4. On 2-year citations it ranks #143 of 162 Scopus journals in Forestry.

    10
    h-index
    0
    2-yr mean citations
    12
    i10-index
    75
    works indexed
    303
    total citations
    2-yr mean citations, among Scopus journals in the same subject
    #143 of 162 Bottom 12% Forestry
    #774 of 818 Bottom 6% Computer Science Applications
    #200 of 220 Bottom 10% Environmental Engineering
    Papers published per year
    010202012: 4 papers420122013: 3 papers320132014: 3 papers320142015: 5 papers520152016: 8 papers820162017: 4 papers420172018: 12 papers1220182019: 4 papers420192020: 7 papers720202021: 5 papers52021

    Mathematical and Computational Forestry and Natural-Resource Sciences published 5 papers in 2021; its busiest recent year was 2018 with 12. 2026* is the year so far.

    Main topics
    Forest ecology and managementRemote Sensing and LiDAR ApplicationsForest Management and PolicyFire effects on ecosystems

    h-index, i10-index and 2-year mean citedness are open, licence-clear metrics from OpenAlex — not a proprietary impact factor. The subject rank counts only journals that OpenAlex has a figure for; it is not a Scopus or Clarivate ranking. Updated 2026-10-14.

    Are there integrity warnings for Mathematical and Computational Forestry and Natural-Resource Sciences? — indicators, not proof of misconduct

    Scopus status: Active. No retracted papers are recorded. The Problematic Paper Screener flags none of its papers. These are indicators to check, not findings against the journal.

    • Scopus statusActive
    • Retracted papers None recorded
    • Problematic Paper Screener flags None flagged

    Retractions from OpenAlex; flags from the Problematic Paper Screener (Cabanac, Labbé & Magazinov, CC BY), 2026-09-21 export. A flag marks a paper for a closer look; it is not a finding against the journal.

    Official sources & links

    Journal website ↗ Scopus source ↗ Web of Science ↗ ISSN Portal · 1946-7664 ↗

    Community experience: reader comments on this journal

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    Related journals

    8 journals
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    Georgia Review WoS AHCI Journal of Higher Education Outreach and Engagement Scopus Q3 Media Konservasi Scopus Q4 DOAJ New Forests Scopus Q1 WoS SCIE New Zealand Journal of Forestry Science Scopus Q2 WoS SCIE DOAJ Nihon Ringakkai Shi/Journal of the Japanese Forestry Society Scopus Q4 Nordic Pulp and Paper Research Journal Scopus Q2 WoS SCIE Northern Logger and Timber Processor Scopus Q4
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    Index data is curated from public sources (Scopus, Web of Science, ABDC, FT50, UT Dallas, DOAJ). CiteScore and quartiles reflect the latest available Scopus release. Always verify a journal's current status on its official source before submitting.

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