AIR Journal of Mathematics & Computational Sciences
AI-Reviewed Research in Mathematics & Computational Sciences
Journal Information
Journal DOI:
10.65737/AIRMCS
Publisher:
Artificial Intelligence Review AIR Publishing House LLC
Publication Model:
Open Access (CC BY 4.0)
Review Type:
AI-Powered Peer Review
Scope & Coverage
The AIR Journal of Mathematics & Computational Sciences publishes high-quality research across pure mathematics, applied mathematics, statistics, data science, and theoretical computer science.
Topics Include:
Pure Mathematics
- Algebra & Number Theory
- Analysis & Calculus
- Topology & Geometry
- Differential Equations
- Logic & Set Theory
- Combinatorics
- Group Theory
Applied Mathematics
- Numerical Analysis
- Optimization Theory
- Mathematical Modeling
- Dynamical Systems
- Operations Research
- Mathematical Physics
- Financial Mathematics
Statistics & Computational
- Probability Theory
- Statistical Inference
- Data Science
- Machine Learning Theory
- Algorithm Design & Analysis
- Computational Complexity
- Cryptography Theory
Ready to Submit Your Research?
Fast AI-Powered Peer Review • Minimal Cost • Open Access with DOI