Machine Learning: Science and Technology
SJR Rank #6,072H-index: 48SJR: 0.872Best quartile: Q2Open AccessAPC: US$3,000Listed in DOAJ
Journal website: aims, scope and author guidelinesPublisher
Institute of Physics Publishing
Country
United Kingdom
Type
journal
SJR by Edition
Subject Categories
- Artificial IntelligenceQ2
- Human-Computer InteractionQ2
- SoftwareQ2
Areas: Computer Science
Most published research topics
Machine Learning in Materials ScienceModel Reduction and Neural NetworksQuantum Computing Algorithms and ArchitectureQuantum many-body systemsComputational Drug Discovery MethodsNeural Networks and ApplicationsGaussian Processes and Bayesian InferenceParticle physics theoretical and experimental studiesComputational Physics and Python ApplicationsNeural Networks and Reservoir Computing
Source: OpenAlex
Publication Statistics
Documents per Year
Detailed Information
ISSN
2632-2153
SJR Best Quartile
Q2
Region
Western Europe
Citations per Document (2 years)
4.42
References per Document
58.50
Coverage
2020-2026
Scope
Machine Learning: Science and TechnologyTM is a multidisciplinary open access journal that bridges the application of machine learning across the sciences with advances in machine learning methods and theory as motivated by physical insights.
Metrics from SCImago Journal Rank 2025. View on SCImago