Mathematical and Computational Applications is an international, peer-reviewed open access journal that primarily publishes original research related to mathematics and/or computational techniques in the fields of engineering, natural sciences, or social sciences. MCA covers a wide range of research fields, including applied mathematics, classical mechanics, computational fluid dynamics, computational techniques, differential equations, dynamical systems, evolutionary algorithms, finite element methods, machine learning and data mining, mathematical modeling, neural networks, numerical analysis, numerical simulation, optimization and control, and statistical data.

The influence of the magazine is reflected in its inclusion in multiple databases, including Scopus, ESCI (Web of Science), MathSciNet, Insspec, and Ei Compendix. These citations indicate the journal's recognition and citation frequency in the academic community. The rapid publication speed and open access policy of MCA have also increased the visibility and influence of its articles, helping researchers to quickly disseminate their work. The readership of the magazine includes mathematicians, physicists, engineers, computer scientists, data analysts, and other professionals working in the fields of applied mathematics and computational modeling. The research results provided by journals are particularly important for researchers engaged in theoretical research and practical application development, as they can help solve complex engineering and scientific problems.