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Academic Journal

Q2

Connection Science

Taylor and Francis A.S.

United KingdomArtificial Intelligence (Q2); Human-Computer Interaction (Q2); Software (Q2)ISSN-matched source record
Submission information ↗
Q2Ranking
—Impact Factor (year unverified)
55H-index (SCImago 2025)
0.705SJR (2025)
1989-2026Coverage

About Connection Science

Connection Science is a scholarly journal published by Taylor and Francis A.S.. SCImago 2025 lists it in Q2, with an SJR of 0.705 and H-index of 55.

Coverage: 1989-2026. Research categories: Artificial Intelligence (Q2); Human-Computer Interaction (Q2); Software (Q2).

Open-access policies and author information

Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2025-05-15. This snapshot does not establish today’s listing status or fee quotation.

Accepted manuscript languagesEnglish
Licence optionsCC BY, CC BY-NC
Peer-review processDouble anonymous peer review
APCDOAJ-reported APC: 2195 USD
Waiver policy reportedYes
Other fees reportedNo
Author retains unrestricted copyrightNo
Digital preservationCLOCKSS, LOCKSS, Portico
Reported submission-to-publication time18 weeks on average; not a guarantee
Openly licensed content since2022 (not the journal founding year)

Publisher policy links recorded by DOAJ

Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.

Source-backed journal facts

ISSN(s)0954-0091, 1360-0494
ISSN-L0954-0091
Source typeJournal
Publisher / hosting organisationTaylor & Francis
Publisher country codeGB
Fully open access (OpenAlex)Yes
DOAJ flag (OpenAlex)Listed in OpenAlex metadata; confirm current status in DOAJ
Works recorded in OpenAlex1,150
Citations recorded in OpenAlex29,000
OpenAlex H-index76
Years represented in OpenAlex1980–2026 (not the founding or closing dates)

Topics in published research

Neural Networks and Applications; Neural dynamics and brain function; Language and cultural evolution; Topic Modeling; Evolutionary Algorithms and Applications; Child and Animal Learning Development.

OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.

Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.

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