The Springer series in applied machine learning Journal Citation Rate 2026

ISSN 2520-1298 eISSN 2520-1301

Q2 Quartile

About The Springer series in applied machine learning

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The Springer series in applied machine learning (SSAML) is a peer-reviewed academic journal, catalogued under ISSN 2520-1298 (e-ISSN 2520-1301). As of 2026, it has a 2023 2-Year Citation Rate (OpenAlex) of 1.49 (Q2 quartile) — the average number of citations its recent articles received over a two-year window, computed from OpenAlex open citation data, not the Clarivate (JCR) Impact Factor. It operates a subscription model.

The Springer series in applied machine learning Citation Rate 2026 — In Context

The Springer series in applied machine learning has a 2023 2-Year Citation Rate (OpenAlex) of 1.49, placing it in the Q2 quartile. This is the average number of citations the journal's recent articles received over a two-year window, computed from OpenAlex open citation data — not the Clarivate (JCR) Journal Impact Factor.

The Springer series in applied machine learning operates a subscription-based publishing model — readers access articles through institutional subscriptions or pay-per-view.

Researchers looking to publish in The Springer series in applied machine learning should review the journal's submission tips and verify the latest indexing status against Scopus, DOAJ, and Web of Science using our indexing tracker. To compare The Springer series in applied machine learning against similar journals in the field, use our journal comparison tool.

ISSN (Print)	2520-1298
ISSN (Online)	2520-1301
APC / Cost	Inquire with Publisher

In-depth profile & metrics

Its most recent citation rate stands at 1.494.

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Frequently Asked Questions about The Springer series in applied …

The Springer series in applied machine learning does not hold a Clarivate (JCR) Impact Factor on JournalsHub. Its 2-year citation rate, computed from OpenAlex open citation data, is 1.494 — an open proxy for citation impact, not the licensed JCR Impact Factor.

No, The Springer series in applied machine learning is not an open access journal.

The Springer series in applied machine learning is not currently listed in the major indexes we track (Scopus, DOAJ, Web of Science). This is not evidence of predatory practice — many legitimate new or regional journals are not yet indexed — but you should verify its peer-review process, editorial board, and indexing directly with the publisher before submitting.

The ISSN of The Springer series in applied machine learning is 2520-1298. Its electronic ISSN (eISSN) is 2520-1301.

The Springer series in applied machine learning sits in the Q2 quartile based on its latest impact factor of 1.49, ranked across all journals in our database.

Live Indexing Status

Updated March 2026

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OpenAlex

Unverified

DOAJ

Non-OA

Predatory Check

Clean

Citation Rate

1.494

2-Year Citation Rate (OpenAlex) · 2023

Historical Trend

Initial data points only

Citation Rate by Year

Year	Value	Source
2023	1.494	2-Year Mean Citedness (OpenAlex)

Metrics are sourced from OpenAlex, DOAJ and Scopus and reflect the latest data we hold. The headline figure is a 2-year citation rate (OpenAlex), not a Clarivate Impact Factor. Always verify against the journal's official site before relying on it. See our Methodology or report a correction.

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Metadata

Last updated: Mar 15, 2026

Updated by: system

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The Springer series in applied machine learning Journal Citation Rate 2026

About The Springer series in applied machine learning

The Springer series in applied machine learning Citation Rate 2026 — In Context

In-depth profile & metrics

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Frequently Asked Questions about The Springer series in applied …

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