EJSIR Journal of Computer Science, Data Science and Intelligent Applications
Rigorous Computing Research. Intelligent Applications.
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
EJSIR Journal of Computer Science, Data Science and Intelligent Applications, published by EJSIR Publisher, provides a scholarly forum for theoretical, methodological and applied research across computer science, data science, intelligent systems and computational applications. Its coverage includes algorithms and theory, artificial intelligence and machine learning, software engineering, data systems, networks and distributed computing, cybersecurity and privacy, human-centred computing, robotics and computational applications. The journal welcomes work that states a clear research question, explains its methods and evidence, and makes a substantive contribution relevant to its academic sections.
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.
Review section scopeComputer Vision & Pattern Recognition
This section covers computer vision & pattern recognition within computer science and intelligent systems.
Review section scopeNatural Language Processing & Generative AI
This section covers natural language processing & generative ai within computer science and intelligent systems.
Review section scopeSoftware Engineering
This section covers software engineering within computer science and intelligent systems.
Review section scopeAlgorithms & Theory of Computing
This section covers algorithms & theory of computing within computer science and intelligent systems.
Review section scopeComputer Architecture & Operating Systems
This section covers computer architecture & operating systems within computer science and intelligent systems.
Review section scopeForms 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.