Presents a distinct scholarly question and original findings, with methods, analysis and evidence reported in enough detail for critical assessment.
Aims & Scope
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.
Journal aim and scope
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.
Academic sections
The scope is organized into named sections so authors can identify the closest disciplinary route. Review each section description before selecting a journal.
Artificial Intelligence & Machine LearningComputer Vision & Pattern RecognitionNatural Language Processing & Generative AISoftware EngineeringAlgorithms & Theory of ComputingComputer Architecture & Operating SystemsDatabases & Information ManagementNetworks, Cloud & Distributed ComputingCybersecurity & PrivacyHuman–Computer InteractionIoT, Edge & Embedded ComputingData Science & Intelligent Computing
Article types
Article type does not by itself determine suitability. The manuscript must fit the journal’s subject scope and meet the relevant standards for evidence, reporting, ethics and transparency.
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.