Apl Machine Learning

eISSN: 2770-9019American Institute of Physics
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2026 Journal Metrics Score

4.3

Updated August 2026 · 2-year citation average from OpenAlex data

The Journal Metrics Score is the two-year mean citedness of a journal, computed from OpenAlex (CC0) data: citations received in the most recent complete year to works published in the two prior years, divided by the number of those works. Quartiles rank journals within each OpenAlex subfield by score. Data source: OpenAlex (CC0).

Subject Category Quartiles

Quartiles computed within each OpenAlex subfield
CategoryQuartile
Materials ChemistryQ2
Electrical and Electronic EngineeringQ2
Artificial IntelligenceQ1
Q1
Subfield Quartile
N/A
CAS Block

Apl Machine Learning current release and quartile

Apl Machine Learning's 2026 Journal Metrics Score is 4.3, updated August 2026 from OpenAlex citation data. The journal is ranked Q1 in this Journal Metrics record.

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Current release and source check

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Ranking position in Engineering

Ranked #856 in Engineering by Journal Metrics Score and #845 among Q1 Engineering journals. This context helps compare Apl Machine Learning against journals publishing in the same field.

#856
of 4,414 field journals

Apl Machine Learning publication trend

Published 268 papers across the last 4 recorded years with a current Journal Metrics Score of 4.3.

2026 vs 2025: -41
How Journal Metrics uses article volume

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Journal Details

Total Articles
268
H-Index
19
Open Access
Yes (100% OA)
Subject Areas
Materials ChemistryElectrical and Electronic EngineeringArtificial IntelligenceElectrical and Electronic Engineering

Article Volume

2023
74
2024
81
2025
77
2026
36
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