Mathematical Foundations of Computing
Published by American Institute of Mathematical Sciences
eISSN : 2577-8838
Abbreviation : Math. Found. Comput.
Aims & Scope
Mathematical Foundations of Computing (MFC), provides an interdisciplinary forum to promote interaction among mathematicians, computer scientists and statisticians as well as engineers to exchange new ideas and techniques for attacking the pressing challenges in data analysis.
The journal aims to provide a place for more understanding and transparency of data analytics in different areas of AI.
We welcome high-quality papers in all areas of AI related to the computational and algorithmic aspects of data analysis, with emphasis on innovative theoretical development, methods, and algorithms including, but not restricted to, machine learning, deep learning, and learning theory.
All papers will undergo a thorough peer reviewing process unless the subject matter of the paper does not fit the journal, in which case the author will be informed promptly.
Every effort will be made to secure a decision in three months and accepted papers are published within two months.
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.563 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q2 |
h-index
| Year | Value |
|---|---|
| 2024 | 11 |
Impact Factor
| Year | Value |
|---|---|
| 2024 | 1.30 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 10337 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 138 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.