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Mathematical Foundations of Computing - American Institute of Mathematical Sciences | 2025 Impact Factor: 1.3 | Cite Score: 2.2 | SCOPUS Q3

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Mathematical Foundations of Computing - American Institute of Mathematical Sciences | 2025 Impact Factor: 1.3 | Cite Score: 2.2 | SCOPUS Q3

  • About this Journal:
  • Mathematical Foundations of Computing (MFC) is a peer-reviewed journal that publishes high-quality research on the theoretical and mathematical aspects of computer science.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.
  • It provides a platform for advancing fundamental understanding of computation through rigorous mathematical analysis, modeling, and algorithmic theory.
  • The journal emphasizes strong theoretical contributions that deepen the foundations of computing, including both classical and emerging areas.
  • MFC publishes original research articles, surveys, and expository papers aimed at mathematicians, computer scientists, and researchers in related disciplines.

  • Editor-in-Chief:  Wan Quan Liu,Ding Xuan Zhou

  • Scope of the Journal:
  • Theoretical computer science, computational complexity, and algorithm design.
  • Formal methods, logic in computer science, and automata theory.
  • Discrete mathematics and combinatorics related to computational structures.
  • Coding theory, cryptography, and information theory.
  • Computational algebra, number theory, and symbolic computation.
  • Quantum computing theory and mathematical models of quantum algorithms.
  • Mathematical modeling of networks, distributed systems, and parallel computation.
  • Foundations of data science, computational geometry, and optimization theory.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  

    Electronic ISSN:  25778838

  • Abstracting and Indexing:  Emerging Sources Citation Index, Scopus

  • Imapct Factor 2025:  1.3

  • Subject Area and Category:  Artificial Intelligence, Computational Theory and Mathematics

  • Publication Frequency:  

  • H Index:  12

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Artificial Intelligence

    Q4:  

  • Cite Score:  2.2

  • SNIP:  0.710

  • Journal Rank(SJR):  0.350