ACM Communications in Computer Algebra Journal Impact Factor

ACM Communications in Computer Algebra | 2024 Cite Score:1.1 | Q4

ACM Communications in Computer Algebra Journal With Cite Score

Cite Score and Journal Rank of ACM Communications in Computer Algebra

About: Objective: The ACM Communications in Computer Algebra journal focuses on the development and application of computer algebra systems (CAS) and symbolic computation. It aims to advance the state-of-the-art in the field by publishing original research articles, reviews, and technical notes related to symbolic mathematical computations and their practical applications.
Impact and Significance: The ACM Communications in Computer Algebra plays a crucial role in the dissemination of cutting-edge research in computer algebra. Its impact is significant in both academia and industry, as it provides a platform for sharing innovative algorithms and computational techniques that enhance mathematical problem-solving and contribute to advancements in computational science and engineering.

Journal Home: Journal Homepage

Editor-in-Chief: Wen-shin Lee

Scope: ACM Communications in Computer Algebra is a journal focused on the field of computer algebra. It is published by the Association for Computing Machinery (ACM) and provides a platform for research and advancements in computer algebra systems and their applications.
1. Computer Algebra Systems (CAS): Developments and improvements in software systems designed for symbolic mathematics and algebraic computation.
2. Algorithm Design and Analysis: Research on algorithms for symbolic computation, including optimization, complexity analysis, and new algorithmic strategies.
3. Mathematical Software Engineering: Best practices, methodologies, and tools for developing robust and efficient mathematical software.
4. Applications of Computer Algebra: Uses of computer algebra systems in various fields such as engineering, physics, economics, and other scientific disciplines.
5. Theoretical Foundations: Papers exploring the theoretical underpinnings of computer algebra, including algebraic structures, computational models, and formal methods.
6. User Interfaces and Interactivity: Innovations in how users interact with computer algebra systems, including graphical user interfaces, integration with other tools, and user experience improvements.
7. Educational Applications: Research on the role of computer algebra in education, including pedagogical approaches and tools for teaching mathematics.
8. Benchmarking and Performance Evaluation: Studies on the performance of computer algebra systems, including benchmarking, performance metrics, and comparative analysis.