Publishes theoretical, methodological and applied work in computing, data science and intelligent systems. Contributions may examine algorithms, software, networks, human-centred technologies or computational applications, with claims supported by transparent evaluation, rigorous analysis or validated use.
Journal of Computer Science and Intelligent Systems is a journal in the EJSIR Publisher programme, focused on Computer Science and Intelligent Systems. Its scope is organized into academic sections covering Artificial Intelligence & Machine Learning, Computer Vision & Pattern Recognition, Natural Language Processing & Generative AI, Software Engineering, Algorithms & Theory of Computing, Computer Architecture & Operating Systems, Databases & Information Management, Networks, Cloud & Distributed Computing, Cybersecurity & Privacy, Human–Computer Interaction, IoT, Edge & Embedded Computing and Data Science & Intelligent Computing. This structure helps authors assess disciplinary fit and gives readers a clear route through the journal’s subject coverage.
Read the journal overview →Section scopes describe the topics covered and the contribution expected from submissions.
This section covers artificial intelligence & machine learning within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
View section scope →This section covers computer vision & pattern recognition within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
View section scope →This section covers natural language processing & generative ai within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
View section scope →This section covers software engineering within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
View section scope →This section covers algorithms & theory of computing within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
View section scope →This section covers computer architecture & operating systems within computer science and intelligent systems. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
View section scope →The journal considers the following types when the manuscript is appropriate to the section and meets the relevant methodological, reporting and ethics requirements.
