Journal of Computer Science and Intelligent Systems

Journal overview

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.

The journal welcomes original research article, review article, systematic review, short communication and other contributions described in its author guidance when they fit the scope. Appropriate approaches include formal analysis, algorithm design, software and systems engineering, computational experiments, benchmark construction, empirical evaluation and secure deployment studies. Authors should describe data, baselines, implementation choices and evaluation conditions, and discuss reliability, bias, privacy or security where relevant. Authors should engage relevant scholarship, explain the contribution and report limitations needed for critical assessment.

Editorial assessment considers journal fit, methodological or interpretive quality, research integrity and clarity. The stated review model is double-anonymous peer review, normally with at least two independent reviewers. Publisher policies on ethics, access, authorship, conflicts, data and corrections apply alongside this journal’s scope. Submission information is provided on this site; manuscripts can be submitted only after the journal’s submission route opens.

Academic remit

The journal aims to advance computer science and digital research through work that develops or rigorously evaluates concepts, algorithms, software, data methods and systems. It welcomes foundational results as well as applied studies when the technical contribution is clear and the evaluation matches the claims. The central contribution should fit at least one of the journal’s academic sections and be meaningful to readers in computer science and intelligent systems.

Appropriate approaches include formal analysis, algorithm design, software and systems engineering, computational experiments, benchmark construction, empirical evaluation and secure deployment studies. Authors should describe data, baselines, implementation choices and evaluation conditions, and discuss reliability, bias, privacy or security where relevant. Authors should define the research question, connect the approach to the question, describe sources or materials and analytical choices, and provide enough information for critical assessment. Interdisciplinary work is welcome when its relevance to the journal is clear and the methods used for each component are explained.

Interpretations and claims should follow from the reported evidence. Authors should identify uncertainty, limitations and alternative explanations where relevant, and distinguish demonstrated results from implications or future work. Studies involving people, animals, sensitive data or protected material should describe applicable ethics, consent, privacy and permissions.

Routine software descriptions, unvalidated demonstrations, promotional technology reports and performance claims without suitable baselines or reproducible evaluation fall outside scope. Manuscripts outside the listed sections or lacking an assessable scholarly contribution may be declined at editorial screening. The section descriptions below provide more detailed guidance on topic fit.