Home › Search › Machine Learning: Science and Technology Machine Learning: Science and Technology Institute of Physics Publishing · United Kingdom · Est. 2020
ISSN 2632-2153 eISSN 2632-2153
SJR Q1 ✓ WOS SCIE ✓ Scopus / SJR ✓ DOAJ ✓ Open Access
Score Breakdown
✓ WoS SCIE/SSCI +25
✓ Scopus Q1 +25
✓ DOAJ Verified +15
Total 65
✦ Inferred from recent articles Machine Learning: Science and Technology publishes research on the application of machine learning techniques to scientific problems. This includes developing novel machine learning methods for data analysis, modeling, and simulation across various scientific domains. The journal also covers the validation and interpretation of machine learning models in scientific contexts.
AI-summarised from recent articles · verify on publisher page →
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
13
weeks to review
Average · median is 15 wks
Q1
SJR Rank
Top 25% in field
Country / Region United Kingdom
Primary Language English
1st Year Published 2020
Frequency Quarterly
Status Active (last: 2026)
Total Publications 1,299
Publisher Org IOP Publishing
OA Since 2019
Peer Review Single-blind
Review Time ~13 weeks
Acceptance Rate —
OA License CC BY
OA Rate —
COPE Member ✗ No
OASPA Member ✗ No
Not on Predatory Lists ✓ Yes
Plagiarism Detection ✓ Yes
📦 Long-term Preservation
Portico CLOCKSS
✅ 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.
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Artificial Intelligence Q1
Human-Computer Interaction Q1
Software Q1
Web of Science Categories
Computer Science, Artificial Intelligence Computer Science, Interdisciplinary Applications Multidisciplinary Sciences
Scopus Categories
Software Human-Computer Interaction Artificial Intelligence
Research Topics (OpenAlex)
Machine Learning in Materials Science Model Reduction and Neural Networks Quantum Computing Algorithms and Architecture Computational Drug Discovery Methods Neural Networks and Applications Quantum many-body systems Gaussian Processes and Bayesian Inference Particle physics theoretical and experimental studies Computational Physics and Python Applications Protein Structure and Dynamics
Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref