Aims & Scope

EJSIR Journal of Computer Science, Data Science and 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.

Journal aim and scope

The aim of EJSIR Journal of Computer Science, Data Science and Intelligent Applications is to publish original scholarship that advances computer science, data science, intelligent systems or the responsible application of computational methods. The journal considers theoretical, methodological and applied work when the computing contribution is explicit, the research question is well defined, and the claims are supported by suitable analysis or evaluation.

Core topics include: algorithms, computational theory, optimisation and formal methods; artificial intelligence, machine learning, knowledge representation and intelligent agents; computer vision, pattern recognition, natural language processing and generative systems; data science, analytics, data engineering and reproducible workflows; software engineering, programming languages, software quality and testing; computer architecture, operating systems, databases, information management and information systems; networks, cloud, edge, embedded and distributed computing; cybersecurity, privacy, trustworthy computing and resilience; human–computer interaction, accessibility and human-centred technologies; robotics, autonomous systems, perception and computational control; and computational methods applied to scientific, engineering, health, business or societal questions.

Submissions should explain the relationship between the research question, method and evidence. Depending on the study, support may include formal proof, analytical derivation, controlled experiments, appropriate baselines, benchmark comparisons, field validation, usability evidence, or a transparent synthesis of prior research. Authors should document datasets, software, parameters, assumptions, permissions and ethical safeguards where relevant, and report uncertainty and limitations that affect interpretation.

Interdisciplinary studies are welcome when the computational contribution is central and clearly described. Work is generally outside scope when computing is incidental, the manuscript is primarily promotional, the claimed advance is not distinguished from prior work, or conclusions exceed the evidence. Topic-specific expectations are described in the journal’s academic sections.

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 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 Data 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.

Original Research Article

Presents a distinct scholarly question and original findings, with methods, analysis and evidence reported in enough detail for critical assessment.

Review Article

Synthesizes relevant scholarship to clarify the state of knowledge, compare interpretations and identify well-supported questions for further study.

Systematic Review

Uses a clearly defined question and reproducible search, selection and synthesis methods, with the evidence base and limitations reported transparently.

Short Communication

Reports a focused result, observation or method whose concise presentation is useful to the field and supported by appropriate evidence.

Technical Note

Describes a practical method, instrument, workflow or technical refinement, explaining its operation, context and performance or validation.

Perspective

Develops a reasoned scholarly interpretation of an important topic, distinguishing evidence from opinion and acknowledging relevant uncertainty.

Data / Resource Paper

Introduces a research dataset, software or other scholarly resource, documenting its provenance, structure, access conditions and quality checks.

Scope at a glance

Computing & Digital Sciences

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. Research may be foundational or applied. Appropriate contributions can include formal analysis, algorithm or system design, empirical studies, computational experiments, benchmark development, software and data resources, systematic evidence synthesis, and validated applications. Authors should report data provenance, baselines, implementation choices, evaluation conditions and limitations as relevant to the work. Editorial assessment considers scope, originality, methodological or interpretive quality, research integrity and clarity. The journal’s published review, ethics, access, copyright and correction policies govern editorial handling. Submissions may be made only when the journal’s verified submission route is active.

Review section scope →