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Machine Learning: Science and Technology

Institute of Physics Publishing · United Kingdom · Est. 2020

ISSN2632-2153eISSN2632-2153

SJR Q2✓ WOS SCIE✓ Scopus / SJR✓ DOAJ✓ Open Access

/ 100

High Trust

PubScope credibility score from verifiable indexing & ethics signals

Score Breakdown

◆ WoS flagship (SCIE/SSCI/AHCI)78

✓ Corroboration (3 more)+18

Total96

Level data: Norwegian Register (HK-dir), NLOD 2.0. · Third-party records · how this is calculated · Report an error →

⚡ Speed vs Prestige

How does this journal balance review speed with impact level?

146

days submission → published

measured · last 19 articles · accept 138d

weeks to publish · journal-reported

Average · vs ~15 wk median

SJR Rank

Top 50% in field

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JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date.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.

SJR Scorei

0.872

H-Indexi

CiteScore

View ↗

Scopus metric · on the journal’s page

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

Review Time~13 weeks

Acceptance Rate—

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

thinkchecksubmit.org

10/12 · 83%

✅

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

❌

APC fees clearly disclosed?

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

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

4.2k

2020

112

2.7k

2021

1.8k

2022

200

2.4k

2023

341

2.3k

2024

319

634

2025

190

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. Its PubScope Trust Score is 96/100. 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?