Acta Informatica - Springer - Impact Factor

Acta Informatica - Springer | 2024 Impact Factor:0.5 | Cite Score:2.0 | Q3

Impact Factor and Journal Rank of Acta Informatica

About: Acta Informatica is a peer-reviewed journal that publishes original research articles, surveys, and technical notes in the field of informatics. It serves as a platform for researchers, practitioners, and educators to explore various aspects of information systems, computer science, and their applications.
Objective:
The primary objective of the journal is to advance the understanding and application of informatics. It aims to promote research that contributes to the theoretical foundations, methodologies, and practical applications of information systems, algorithms, data structures, and computational techniques.
Interdisciplinary Approach:
Acta Informatica often adopts an interdisciplinary approach, welcoming contributions that integrate computer science with areas such as artificial intelligence, database systems, software engineering, and human-computer interaction. This approach encourages collaboration and innovation across diverse fields of research.
Impact:
The impact of Acta Informatica lies in its contributions to advancing knowledge and technology in informatics. By publishing high-quality research and innovative applications, the journal influences the development of information systems, computational methods, and technologies used in various sectors.
Significance:
For researchers, professionals, and educators in computer science and informatics, Acta Informatica provides a valuable resource for accessing state-of-the-art research, theoretical advancements, and practical insights. Its publications support advancements in information technology, data management, and computational methodologies.

Journal Home: Journal Homepage

Editor-in-Chief: Henning Fernau

Scope: The Acta Informatica journal is a peer-reviewed scientific publication covering a broad spectrum of topics in theoretical computer science and information technology. Here is an overview of its scope and the topics covered:
Theoretical Computer Science:
Research on fundamental aspects of computation and algorithms. This includes studies on complexity theory, computability theory, automata theory, formal languages, theory of computation, and theoretical foundations of artificial intelligence.
Data Structures and Algorithms:
Research on efficient data structures and algorithms. This includes studies on algorithm design and analysis, data compression, sorting and searching algorithms, graph algorithms, parallel algorithms, randomized algorithms, and optimization algorithms.
Formal Methods:
Research on formal methods for software and hardware systems. This includes studies on formal verification, formal specification languages (such as Z, B, VDM), model checking, theorem proving, static analysis, and applications in software engineering and system design.
Software Engineering:
Research on methodologies and techniques for software development. This includes studies on software architecture, software testing and quality assurance, software metrics, software maintenance, software evolution, software reuse, and agile methodologies.
Databases and Information Retrieval:
Research on database systems and information retrieval techniques. This includes studies on database design, query processing and optimization, distributed databases, data mining, information extraction, text retrieval, and semantic web technologies.
Computer Networks and Distributed Systems:
Research on networking technologies and distributed computing. This includes studies on network protocols, wireless networks, internet of things (IoT), cloud computing, edge computing, peer-to-peer systems, and network security.
Artificial Intelligence and Machine Learning:
Research on AI and machine learning methodologies and applications. This includes studies on neural networks, deep learning, reinforcement learning, natural language processing, computer vision, pattern recognition, and AI applications in diverse domains.
Cryptography and Security:
Research on cryptographic protocols and security mechanisms. This includes studies on cryptographic algorithms, cryptographic protocols, blockchain technology, cybersecurity, information security policies, secure communication protocols, and privacy-enhancing technologies.
Human-Computer Interaction:
Research on interaction design and usability. This includes studies on user interface design, human factors in computing, accessibility, user experience (UX) design, cognitive modeling, interaction techniques, and usability testing.
Computational Biology and Bioinformatics:
Research on computational methods in biology and bioinformatics. This includes studies on genomic sequence analysis, protein structure prediction, systems biology, computational modeling of biological systems, biomedical informatics, and medical image processing.