Research Areas

Research covered by this journal

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.

How to use this topic map

Choose the area that best describes the manuscript’s main scholarly contribution, then review the linked section scope. A topic match is a starting point; authors should also check the complete aims and scope.

Computing & Digital Sciences

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.

Read this area’s section scope →
Computing & Digital Sciences

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.

Read this area’s section scope →
Computing & Digital Sciences

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.

Read this area’s section scope →
Computing & Digital Sciences

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.

Read this area’s section scope →
Computing & Digital Sciences

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.

Read this area’s section scope →
Computing & Digital Sciences

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.

Read this area’s section scope →
Computing & Digital Sciences

Databases & Information Management

This section covers databases & information management 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.

Read this area’s section scope →
Computing & Digital Sciences

Networks, Cloud & Distributed Computing

This section covers networks, cloud & distributed 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.

Read this area’s section scope →
Computing & Digital Sciences

Cybersecurity & Privacy

This section covers cybersecurity & privacy 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.

Read this area’s section scope →
Computing & Digital Sciences

Human–Computer Interaction

This section covers human–computer interaction 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.

Read this area’s section scope →
Computing & Digital Sciences

IoT, Edge & Embedded Computing

This section covers iot, edge & embedded 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.

Read this area’s section scope →
Computing & Digital Sciences

Data Science & Intelligent Computing

This section covers data science & intelligent 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.

Read this area’s section scope →