Journal of Universal Computer Science

Aims & Scope

The Journal of Universal Computer Science (J.UCS) is a high-quality periodical and has been appearing in digital and printed form since 1995.

The journal deals with all research areas of computer science, based on the ACM Computing Classification System categories including general literature, hardware, software, computer systems organization, theory of computation, information systems, mathematics of computing, data and data science, computing methodologies, computer applications, science and technology of learning, and knowledge management.

The journal accepts research articles covering novel research in all topics of computer science, and its peer reviewed articles appear in monthly Regular Issues and Special Issues on selected topics organized by guest editors.

Thus, J.UCS serves as one of the major knowledge bases for the international research community in computer science over decades until today.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science and Mathematics, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Exploring Virtual Reality in the Higher Education Classroom: Using VR to Build Knowledge and Understanding

  Citation: 46

  Authors: Gareth, Sam, Burcin, Egess

• Finding the Gaps about Uses of Immersive Learning Environments: A Survey of Surveys

  Citation: 38

  Authors: Dennis, Leonel, Patrick

• A Systematic Review of Research about Game-based Learning in Virtual Worlds

  Citation: 32

  Authors: Nikolaos, Stylianos

• Detecting Epidemic Diseases Using Sentiment Analysis of Arabic Tweets

  Citation: 20

  Authors: Qanita, Farah, Saif, Mohammad, Yaser

• Detection of Cyberattacks Traces in IoT Data

  Citation: 20

  Authors: Vibekananda, Michał, Marek, Rafał

• IoT Implementation in Remote Measuring Laboratory VMLab Analyses

  Citation: 20

  Authors: Tibor, Matej, Irena, Ján, Branislav, Jozef, Iveta, Milan

• Comparative Study of Real Time Machine Learning Models for Stock Prediction through Streaming Data

  Citation: 20

  Authors: Ranjan, Sushree, Santanu, Sanjay, Robertas

• Weather Station IoT Educational Model Using Cloud Services

  Citation: 19

  Authors: Ján, Simona, Tibor, Dobroslav, Patrik, Matej, Peter

• A novel deep learning model with the Grey Wolf Optimization algorithm for cotton disease detection

  Citation: 18

  Authors: Burak

• Combined Use of Virtual Reality and a Chatbot Reduces Emotional Stress More Than Using Them Separately

  Citation: 17

  Authors: Atsuko, Takeshi, Yukari, Ayako, Harumi, Yuko, Hiroko, Tsunetsugu, Tomoo