Computer Science Journal of Moldova

Aims & Scope

We aim to bring important research work in the Computer Science domain to a wide international audience.

Fields of research.

The journal publishes original research articles and short communications on Computer System Organization, Software, Theory of Data, Theory of Computing, Computing Methodologies and Applications, Discrete Mathematics in relation to Computer Science, Operations Research and Management Science (in relation to Computer Science), Artificial Intelligence, and related topics.

Reviews of new monographs, abstracts of dissertations, and chronicles of scientific events are also published.

The editorial board of the journal will temporarily not accept review articles for publication, since a decent review requires a large volume.

However, recently the editorial office of our journal has received a large number of articles, and the volume of the printed version and format of the journal does not allow publishing lengthy articles, including reviews.

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
• Apc url
• License

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.

• Image Description Generator using Residual Neural Network and Long Short-Term Memory

  Citation: 10

  Authors: Mahesh Kumar, Nagamani, Nuthanakanti, V. Dinesh

• Vehicle Detection from Unmanned Aerial Images with Deep Mask R-CNN

  Citation: 5

  Authors: Rıdvan, Emir, Uğur

• A Neural Attention-Based Encoder-Decoder Approach for English to Bangla Translation

  Citation: 4

  Authors: Abdullah, Sadi Md., Md. Humaun, Jungpil

• An Intelligent Detection of Malicious Intrusions in IoT Based on Machine Learning and Deep Learning Techniques

  Citation: 4

  Authors: Saman, Danish, Daniah, Khattab, Kiran

• Interactive System for Algorithm and Data Structure Visualization

  Citation: 4

  Authors: Patrik, Slavomír

• Graph-based decision making for varying complexity multicriteria problems

  Citation: 4

  Authors: Oleksandr, Igor, Valery, Yuri

• Vector finite fields of characteristic two as algebraic support of multivariate cryptography

  Citation: 3

  Authors: Alexandr, Nikolay

• Kurtosis-Based Feature Selection Method using Symmetric Uncertainty to Predict the Air Quality Index

  Citation: 3

  Authors: Usharani, M.

• A 15-Year Retrospective on Insertion-Deletion Systems: Progress, Evolution, and Future Directions

  Citation: 3

  Authors: Artiom, Sergiu, Sergey

• A Comparative study on classification performance of Emphysema with transfer learning methods in deep convolutional neural networks

  Citation: 3

  Authors: Selçuk