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    Adaptation, Learning, and Optimization

    Adaptation, Learning, and Optimization is Scopus-indexed. Published by Springer Science + Business Media.

    Checked against the index lists dated 4 October 2026.

    ISSN 1867-4534Verify ISSN ↗1867-4542Verify ISSN ↗

    Publisher: Springer Science + Business Media

    Scopus · Not Ranked
    1
    Indexed in
    major index

    Cost to publish: No APC data — check the publisher

    ScopusElsevier Scopus
    Status
    Not Ranked
    Coverage
    2026 (also 2021–2023, 2019, 2017, 2014–2015, 2012)
    Source type
    Book Series
    Open access
    No
    ⚠ Scopus has not published a CiteScore for this journal in the current release — it may be newly indexed and not yet evaluated. Confirm its current status directly on Scopus before submitting.
    View this source on Scopus.com
    DOAJDirectory of Open Access Journals (live)
    Not in DOAJ
    Open accessNot registered as fully open access

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

    Quick answers

    Is Adaptation, Learning, and Optimization indexed in Scopus?

    Listed in Scopus, coverage 2026 (also 2021–2023, 2019, 2017, 2014–2015, 2012), but Scopus has not published a current CiteScore for this title — it may be newly indexed and not yet evaluated. Confirm its active status directly with Scopus before submitting.

    What is the impact factor of Adaptation, Learning, and Optimization?

    Adaptation, Learning, and Optimization has no Journal Impact Factor — JIF is published only for journals in the Web of Science Core Collection (SCIE, SSCI, AHCI and ESCI) — and Scopus has not published a current CiteScore for it either. Treat any "impact factor" quoted for this journal elsewhere as unofficial.

    Who publishes Adaptation, Learning, and Optimization and what is its ISSN?

    Adaptation, Learning, and Optimization is published by Springer Science + Business Media. Its print ISSN is 1867-4534 and its online ISSN is 1867-4542.

    Is Adaptation, Learning, and Optimization in Web of Science?

    No — it is not currently in the Web of Science core collections (SCIE, SSCI, AHCI or ESCI).

    Is Adaptation, Learning, and Optimization open access?

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

    How well cited is Adaptation, Learning, and Optimization? — open metrics via OpenAlex

    Adaptation, Learning, and Optimization has an h-index of 38 and a 2-year mean of 0.13 citations per paper (OpenAlex).

    38
    h-index
    0.13
    2-yr mean citations
    105
    i10-index
    351
    works indexed
    7,527
    total citations
    Papers published per year
    025502013: 11 papers1120132014: 23 papers2320142015: 24 papers2420152016: 7 papers720162018: 20 papers2020182019: 12 papers1220192021: 26 papers2620212022: 16 papers1620222025: 14 papers1420252026: 2 papers so far22026*

    Adaptation, Learning, and Optimization published 14 papers in 2025; its busiest recent year was 2021 with 26. 2026* is the year so far.

    Main topics
    Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and ApplicationsAdvanced Multi-Objective Optimization AlgorithmsNeural Networks and Applications

    h-index, i10-index and 2-year mean citedness are open, licence-clear metrics from OpenAlex — not a proprietary impact factor. Updated 2026-10-14.

    Are there integrity warnings for Adaptation, Learning, and Optimization? — 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

    Scopus source ↗ ISSN Portal · 1867-4534 ↗ISSN Portal · 1867-4542 ↗

    Community experience: reader comments on this journal

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