Annales Mathematicae et Informaticae Eszterhazy Karoly College Journal Impact Factor

Annales Mathematicae et Informaticae - Eszterhazy Karoly College | 2024 Cite Score:0.8 | Q4

Annales Mathematicae et Informaticae Journal With Cite Score

Cite Score and Journal Rank of Annales Mathematicae et Informaticae

About: Annales Mathematicae et Informaticae is a scholarly journal that focuses on the intersection of mathematics and computer science.
Objective: The primary objective of Annales Mathematicae et Informaticae is to advance knowledge in both mathematics and computer science through the publication of high-quality research. The journal covers a broad range of topics including pure and applied mathematics, computational methods, algorithms, mathematical modeling, and theoretical computer science. It aims to provide a platform for researchers to share their findings and contribute to the development of new theories, methods, and applications in these fields.
Interdisciplinary Approach: The journal adopts an interdisciplinary approach by integrating insights from mathematics and computer science. This approach supports a comprehensive examination of complex problems and encourages collaboration between mathematicians and computer scientists. Topics covered include numerical analysis, discrete mathematics, optimization, cryptography, and data analysis, among others.
Impact and Significance: Annales Mathematicae et Informaticae is significant for its contributions to the advancement of both mathematics and computer science. It serves as an important resource for academics, researchers, and practitioners who are involved in the development and application of mathematical and computational methods. The journals impact lies in its ability to provide insights into new research, methodologies, and technologies that advance the state-of-the-art in mathematics and computer science.

Journal Home: Journal Homepage

Editor-in-Chief: MiklÃ³s Hoffmann

Scope: The Annales Mathematicae et Informaticae Journal is a scholarly publication that focuses on research in mathematics and computer science. It provides a platform for sharing significant contributions and advancements in these fields.
Key Areas Covered:
1. Pure Mathematics: Research in areas such as algebra, geometry, topology, number theory, and mathematical analysis.
Applied Mathematics: Studies on mathematical methods and their applications in various fields, including physics, engineering, and economics.
Computational Mathematics: Exploration of numerical methods, algorithms, and computational techniques for solving mathematical problems.
Mathematical Modelling: Research on the development and application of mathematical models to understand and solve real-world problems.
Mathematical Optimization: Studies on optimization techniques and their applications, including linear programming, nonlinear optimization, and discrete optimization.
Statistics and Probability: Research on statistical methods, probability theory, and their applications in data analysis and decision-making.
Computer Science Theory: Exploration of theoretical aspects of computer science, including algorithms, complexity theory, and formal languages.
Software Engineering: Studies on software development methodologies, software design, and testing techniques.
Data Structures and Algorithms: Research on data structures, algorithms, and their efficiency, including topics such as sorting, searching, and graph algorithms.
Artificial Intelligence: Exploration of AI techniques, including machine learning, neural networks, and expert systems.
Computer Systems and Networks: Research on computer architecture, operating systems, and network design and management.
Information Theory: Studies on information theory concepts, including data encoding, compression, and error-correcting codes.