Mathematical Structures in Computer Science - Impact Factor

Mathematical Structures in Computer Science - Cambridge University Press | 2024 Impact Factor:0.5 | Cite Score:1.4 | Q2

Mathematical Structures in Computer Science Journal

Impact Factor and Journal Rank of Mathematical Structures in Computer Science

About: Mathematical Structures in Computer Science (MSCS) is a scholarly journal that focuses on the intersection of mathematics and computer science, addressing foundational aspects and theoretical developments crucial to computing technologies. It publishes original research papers and surveys covering topics such as mathematical logic, category theory, type theory, semantics, and formal methods, among others. MSCS aims to foster interdisciplinary research and advance understanding in mathematical structures relevant to computer science.

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Editor-in-Chief: Pierre-Louis Curien

Scope: The Mathematical Structures in Computer Science journal (MSCS) is a peer-reviewed academic publication that focuses on the mathematical foundations of computer science. It covers a wide range of topics where mathematical structures and techniques play a fundamental role in the analysis, design, and understanding of computer systems and algorithms.
Mathematical Logic:
Research on formal logic, including proof theory, model theory, and computability theory.
Studies on logical aspects of programming languages and specification languages.
Category Theory and Algebraic Structures:
Advances in category theory and its applications to computer science, such as categorical semantics of programming languages.
Research on algebraic structures, including semigroups, monoids, groups, rings, and fields.
Formal Methods:
Studies on formal methods for software specification, verification, and validation.
Research on theorem proving, model checking, and formal analysis techniques.
Type Theory and Lambda Calculus:
Advances in type theory, lambda calculus, and their applications in programming languages and formal reasoning.
Research on dependent types, polymorphism, and type systems.
Domain Theory:
Studies on domain theory and its applications to semantics of programming languages and concurrency theory.
Research on denotational semantics and domain-theoretic models of computation.
Computability and Complexity Theory:
Advances in computability theory, including Turing machines, recursive functions, and complexity classes.
Research on complexity theory, NP-completeness, and approximation algorithms.
Algorithmic Graph Theory:
Studies on algorithms for graph problems, such as shortest paths, maximum flows, graph coloring, and graph embeddings.
Research on structural graph theory and algorithmic graph transformations.
Concurrency Theory:
Advances in the theory of concurrent and distributed systems, including process calculi, Petri nets, and formal models of concurrency.
Research on synchronization mechanisms and concurrency control.
Semantics of Programming Languages:
Studies on operational semantics, denotational semantics, and axiomatic semantics of programming languages.
Research on program verification, program analysis, and program transformation.
Formal Languages and Automata Theory:
Advances in formal languages, automata theory, and their applications in compiler construction and language processing.
Research on regular languages, context-free languages, and parsing techniques.
Mathematical Foundations of Artificial Intelligence:
Studies on mathematical models and formalisms in AI, including logic-based reasoning, knowledge representation, and theorem proving.
Research on machine learning theory, neural networks, and probabilistic reasoning.