Acta Informatica Pragensia - University of Economics - Prague | 2024 Impact Factor:1.1 | Cite Score:2.8 | Q2

Cite Score and Journal Rank of Acta Informatica Pragensia

• About: Acta Informatica Pragensia Journal is a peer-reviewed academic journal that publishes research in the field of computer science and information technology. It focuses on both theoretical and practical aspects of informatics, including algorithms, data structures, programming languages, software engineering, and more.
• Objective: The primary objective of Acta Informatica Pragensia is to advance the field of computer science by publishing high-quality research that contributes to the theoretical foundations and practical applications of informatics. The journal aims to provide a platform for disseminating innovative research findings, methodologies, and technologies that address current challenges and future directions in computer science.
• Interdisciplinary Approach: The journal embraces an interdisciplinary approach by incorporating research from various areas of computer science and related disciplines. This includes theoretical computer science, software engineering, artificial intelligence, machine learning, human-computer interaction, and information systems. Contributions that explore the intersections of computer science with other fields or that offer new perspectives on existing problems are encouraged.
• Impact and Significance: Acta Informatica Pragensia is significant in the computer science community for its focus on both fundamental and applied research. The journal plays a crucial role in disseminating research that drives innovation and advances the state of knowledge in the field. It serves as a valuable resource for researchers, academics, and practitioners who are looking to stay updated with the latest developments in computer science and informatics.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  

• Scope: The Acta Informatica Pragensia Journal focuses on various aspects of computer science and information technology. It publishes research across a broad range of topics, including:
• 1. Theoretical Computer Science: Research on the fundamental theories and principles of computer science, including algorithms, complexity theory, automata theory, and formal languages.
• 2. Software Engineering: Studies on software development methodologies, software design, programming languages, testing, and software maintenance.
• 3. Information Systems: Research on the design, implementation, and management of information systems, including databases, information retrieval, and system architecture.
• 4. Artificial Intelligence and Machine Learning: Exploration of AI and machine learning techniques, including neural networks, natural language processing, computer vision, and intelligent systems.
• 5. Human-Computer Interaction: Studies on the interaction between humans and computers, including user interface design, usability, and user experience.
• 6. Network and Distributed Systems: Research on network protocols, distributed computing, cloud computing, and network security.
• 7. Computational Science and Engineering: Studies on computational methods and tools used in engineering and scientific applications, including simulations and modeling.
• 8. Data Science and Big Data: Research on data analysis, data mining, big data technologies, and data visualization.
• 9. Cybersecurity: Exploration of security measures and technologies, including cryptography, network security, and data protection.
• 10. Computational Intelligence: Studies on algorithms and models that mimic intelligent behavior, including evolutionary algorithms, swarm intelligence, and fuzzy systems.
• 11. Computer Graphics and Visualization: Research on computer graphics techniques, visualization methods, and applications in various domains.
• 12. Embedded Systems and IoT: Studies on embedded system design, Internet of Things (IoT) technologies, and their applications in various fields.
• 13. Algorithms and Data Structures: Research on algorithm design, analysis, and optimization, as well as data structures and their applications.
• 14. Computational Biology: Exploration of computational techniques applied to biological research, including bioinformatics and systems biology.
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  18054951

  Electronic ISSN:  

• Abstracting and Indexing:  Scopus

• Imapct Factor 2024:  1.1

• Subject Area and Category:   Business, Management and Accounting, Management Information Systems, Computer Science, Computer Science Applications, Information Systems, Social Sciences, Library and Information Sciences

• Publication Frequency:  

• H Index:  9

• Best Quartile:

  Q1:  

  Q2:  Library and Information Sciences

  Q3:  

  Q4:  

• Cite Score:  2.8

• SNIP:  0.504

• Journal Rank(SJR):  0.247

• Latest Articles:   Latest Articles in Acta Informatica Pragensia

• Guidelines for Authors: Acta Informatica Pragensia Author Guidelines

• Paper Submissions: Paper Submissions in Acta Informatica Pragensia

• Publisher:  University of Economics - Prague

  Country:  Czech Republic

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