HomeSearchMachine Learning: Science and Technology

Machine Learning: Science and Technology

Institute of Physics Publishing · United Kingdom · Est. 2020

ISSN2632-2153eISSN2632-2153
SJR Q2WOS SCIEScopus / SJRDOAJOpen Access
Impact Factor & Quartile · Web of Science (JCR)

✓ Indexed in the Web of Science Core Collection (SCIE) — Clarivate publishes an official Journal Impact Factor and JCR quartile for this journal.

See the official Impact Factor & quartile on the journal’s page ↗

The Impact Factor & JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date. Open metrics below: SCImago Q2. Source: Clarivate Journal Citation Reports.

📊 Standing in its field
Where this journal ranks among others in the same subject area.
Q2
SJR · Scopus
Top 50% in field
Clarivate’s JCR quartile is a separate ranking and may differ
SJR Scorei
0.872
H-Indexi
49
SNIPi
1.392
Total Worksi
1,299
Total Citationsi
13,322
2yr Mean Citednessi
3.45
Open Impact Factor alternative

Aims & Scope

Subject areas: Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Multidisciplinary Sciences; Artificial Intelligence; Human-Computer Interaction; Software.

General Information

Country / RegionUnited Kingdom
Primary LanguageEnglish
1st Year Published2020
FrequencyQuarterly
StatusActive (last: 2026)
Total Publications1,299
Publisher OrgIOP Publishing
OA Since2019
Visit Journal Website

Submission Info

Peer ReviewSingle-blind
OA LicenseCC BY
OA Rate

Ethics & Quality

COPE Member✗ No
OASPA Member✗ No
Not on Predatory Lists✓ Yes
Plagiarism Detection✓ Yes
📦 Long-term Preservation
PorticoCLOCKSS

Think.Check.Submit Compliance

10/11 · 91%
Do you know the journal / publisher?
Institute of Physics Publishing
Does the journal have a website?
✓ Linked
Is the ISSN verified?
2632-2153 / 2632-2153
Indexed in a trusted database?
WoS, Scopus, DOAJ
Peer review process documented?
Single-blind
Follows ethical publishing standards (COPE)?
N/A
Not on predatory/blacklists?
✓ Clean
Long-term digital preservation?
Portico, CLOCKSS
Plagiarism detection in place?
Yes
Listed in DOAJ (verified OA)?
DOAJ verified
Primary language documented?
English

A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Publication & Citation Trend

Articles published
Citations received
137
4.3k
2020
112
2.7k
2021
96
1.8k
2022
200
2.5k
2023
344
2.5k
2024
316
759
2025
264
87
2026

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Artificial IntelligenceQ2
Human-Computer InteractionQ2
SoftwareQ2

Subject Classification

Web of Science Categories

Computer Science, Artificial IntelligenceComputer Science, Interdisciplinary ApplicationsMultidisciplinary Sciences

Scopus Categories

SoftwareHuman-Computer InteractionArtificial Intelligence

Research Topics (OpenAlex)

Machine Learning in Materials ScienceModel Reduction and Neural NetworksQuantum Computing Algorithms and ArchitectureComputational Drug Discovery MethodsNeural Networks and ApplicationsQuantum many-body systemsGaussian Processes and Bayesian InferenceParticle physics theoretical and experimental studiesComputational Physics and Python ApplicationsProtein Structure and Dynamics

Frequently asked questions about Machine Learning: Science and Technology

Is Machine Learning: Science and Technology a predatory journal?

PubScope has no integrity flags on record for Machine Learning: Science and Technology: it is indexed in Web of Science, Scopus, DOAJ, and is not on DOAJ's withdrawn list. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.

What is the impact factor of Machine Learning: Science and Technology?

Machine Learning: Science and Technology is indexed in the Web of Science Core Collection, so Clarivate publishes an official Journal Impact Factor for it (since the 2023 Journal Citation Reports, every Core Collection journal — including Arts & Humanities and Emerging Sources titles — receives one). PubScope links to Clarivate's official source rather than reprinting the number, which can be out of date. Its open 2-year mean citedness is 3.45.

Is Machine Learning: Science and Technology indexed in Scopus and Web of Science?

Machine Learning: Science and Technology is indexed in Web of Science, Scopus, DOAJ.

What is the aims and scope of Machine Learning: Science and Technology?

Subject areas: Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Multidisciplinary Sciences; Artificial Intelligence; Human-Computer Interaction; Software.

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How to tell if a journal is predatoryWhat Q1–Q4 quartiles meanWeb of Science vs Scopus vs DOAJWhat is an APC?

Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref