Scientific Annals of Computer Science Alexandru Ioan Cuza University of Iasi Journal Impact Factor

Scientific Annals of Computer Science - Alexandru Ioan Cuza - University of Iasi | 2024 Cite Score:1.0 | Q4

Scientific Annals of Computer Science Journal With Cite Score

Cite Score and Journal Rank of Scientific Annals of Computer Science

About: Scientific Annals of Computer Science (SACS) is a peer-reviewed academic journal that focuses on publishing high-quality research in the field of computer science. The journal aims to advance knowledge and understanding in various areas of computer science through the dissemination of innovative research.
Objective: The primary objective of Scientific Annals of Computer Science is to provide a platform for the publication of original research articles, reviews, and short communications on a wide range of computer science topics. The journal covers various areas including algorithms, software engineering, computer systems, artificial intelligence, machine learning, data science, and more. It aims to facilitate the exchange of ideas and promote advancements in computer science.
Interdisciplinary Approach: The journal adopts an interdisciplinary approach by incorporating research from various subfields of computer science as well as related disciplines such as mathematics, engineering, and information systems. This approach fosters a comprehensive understanding of complex problems and encourages the integration of different methodologies and perspectives. Contributions that bridge multiple areas of computer science or combine insights from related fields are particularly encouraged.
Impact and Significance: Scientific Annals of Computer Science has a significant impact on the computer science community by publishing cutting-edge research that addresses key issues and advances the field. The journal serves as an important resource for researchers, practitioners, and educators who are engaged in computer science research and development. It contributes to the advancement of knowledge and the development of new techniques and technologies in computer science.

Journal Home: Journal Homepage

Editor-in-Chief: Bogdan Aman

Scope: The Scientific Annals of Computer Science is dedicated to advancing the field of computer science through high-quality research. Its scope includes:
1. Theoretical Computer Science: Research on foundational aspects of computer science, including algorithms, complexity theory, formal languages, automata theory, and computational models.
2. Software Engineering: Studies on software development methodologies, software design and architecture, testing, maintenance, and software project management.
3. Programming Languages: Exploration of programming languages and their design, including language theory, compilers, interpreters, and language paradigms.
4. Data Structures and Algorithms: Research on data structures, algorithm design, and analysis, including optimization techniques and algorithmic efficiency.
5. Artificial Intelligence and Machine Learning: Studies on AI techniques, machine learning algorithms, neural networks, natural language processing, and intelligent systems.
6. Computer Networks and Communications: Exploration of network protocols, data communication, network security, and network architecture.
7. Databases and Information Systems: Research on database management systems, data modeling, query processing, and information retrieval.
8. Human-Computer Interaction: Studies on user interface design, usability, human factors, and user experience.
9. Computational Science and Engineering: Research on computational methods and simulations applied to scientific and engineering problems.
10. Cybersecurity: Exploration of security techniques, cryptography, threat detection, and information assurance.
11. Distributed and Parallel Computing: Studies on distributed systems, parallel algorithms, cloud computing, and high-performance computing.
12. Embedded Systems and Internet of Things (IoT): Research on embedded systems design, IoT architectures, and applications.
13. Computational Complexity and Optimization: Exploration of complexity classes, optimization techniques, and applications in various domains.
14. Bioinformatics and Computational Biology: Studies on computational techniques applied to biological data, including genomics, proteomics, and systems biology.
15. Software and Hardware Integration: Research on the integration of software and hardware systems, including embedded systems and hardware-software co-design.