Journal of Computer Science and Technology (Argentina)

Aims & Scope

The Journal of Computer Science and Technology (JCS&T) is a semiannual, open access, and peer-reviewed International Journal promoting the dissemination of original research and technological implementation experiences in the areas of Computer Science, Engineering, and Information Systems.

JCS&T is aimed at the general public interested in research, development and applications in the previous mentioned areas, providing a common place to encourage interaction among these community members.

Specific topics of interest include, but are not limited to: Algorithms; Artificial Intelligence; Big Data; Bioinformatics; Computer Education; Computer Networks and Communications; Computer Graphics; Databases; Data Mining; Data Science; Digital Signal and Image Processing; Distributed and Parallel Computing / Cloud Computing; Emerging Techonologies; E-Government; Fault-Tolerant System; Human-Computer Interaction; Industrial Systems; Innovative Computer Science Applications; Intelligent Systems; Mobile and Ubiquitous Computing; Operating Systems; Parallel Architectures; Real-Time and Embedded Systems; Robotics; Scientific Computing, Modelling & Simulation; Security and Privacy; Software Engineering; Web Science.

The JCS&T is supported by the Postgraduate Office of the School of Computer Science, Universidad Nacional de La Plata.

In addition, it is endorsed by RedUNCI (Argentinian Universities Network with Computer Science Degree) and ISTEC (Iberoamerican Science & Technology Education Consortium).

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, 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

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, 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.

• Cloud Computing, Big Data and the Industry 4.0 Reference Architectures

  Citation: 45

  Authors: Nancy, Elsa, Patricia

• Fast Facial Landmark Detection and Applications: A Survey

  Citation: 36

  Authors: Kostiantyn, Larysa

• SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data

  Citation: 23

  Authors: María José, Waldo, Marcelo, Alberto, Francisco

• Inclusive Learning through Immersive Virtual Reality and Semantic Embodied Conversational Agent: A case study in children with autism

  Citation: 15

  Authors: Yoselie, Roberto, Francisco

• Using Text Classification to Estimate the Depression Level of Reddit Users

  Citation: 13

  Authors: Sergio Gastón, Marcelo, Manuel

• Algorithm of Myoelectric Signals Processing for the Control of Prosthetic Robotic Hands

  Citation: 11

  Authors: Rodrigo E., Juana G., Raúl R.

• Identifying Key Success Factors in Stopping Flaky Tests in Automated REST Service Testing

  Citation: 9

  Authors: Maximiliano A., Emanuel

• Design and Implementation of a Computer Vision System for an Autonomous Chess-Playing Robot

  Citation: 9

  Authors: Guillermo, Federico, Luis, Daniel

• Blockchain-Based Music Wallet for Copyright Protection in Audio Files

  Citation: 9

  Authors: Remzi, Mevlüt

• Experiences in Learning Problem-Solving through Computational Thinking

  Citation: 9

  Authors: Jacqueline M., Mariela E., María V., Roberto A.