EJSIR Journal of Computer Science and Intelligent Systems
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.
Research modes
Research topics and contribution standards
These subject areas and editorial expectations help authors judge fit and show readers how each contribution is supported.
Core fields
These connected disciplines define the journal’s principal subject remit and help authors assess whether their work is a good fit.
Contribution topics
Submissions may address these themes when the research question, methods and contribution are relevant to the journal’s scope.
Evidence standards
A suitable contribution makes its research question and methods clear, then supports its conclusions with evidence appropriate to the work.
Research with a clear disciplinary contribution
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 →Choose the section that fits the work
Section scopes describe the topics covered and the contribution expected from submissions.
Artificial Intelligence & Machine Learning
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 →Computer Vision & Pattern Recognition
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 →Natural Language Processing & Generative AI
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 →Software Engineering
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 →Algorithms & Theory of Computing
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 →Computer Architecture & Operating Systems
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 →Forms of scholarly contribution
The journal considers the following types when the manuscript is appropriate to the section and meets the relevant methodological, reporting and ethics requirements.
Presents a distinct scholarly question and original findings, with methods, analysis and evidence reported in enough detail for critical assessment.
Synthesizes relevant scholarship to clarify the state of knowledge, compare interpretations and identify well-supported questions for further study.
Uses a clearly defined question and reproducible search, selection and synthesis methods, with the evidence base and limitations reported transparently.
Reports a focused result, observation or method whose concise presentation is useful to the field and supported by appropriate evidence.
Describes a practical method, instrument, workflow or technical refinement, explaining its operation, context and performance or validation.
Develops a reasoned scholarly interpretation of an important topic, distinguishing evidence from opinion and acknowledging relevant uncertainty.
Introduces a research dataset, software or other scholarly resource, documenting its provenance, structure, access conditions and quality checks.