Computer Science and Information Technologies

Computer Science and Information Technologies p-ISSN 2722-323X, e-ISSN 2722-3221 is an open access, peer-reviewed international journal that publishes original research articles, review papers, and short communications that will have an immediate impact on the ongoing research in all areas of Computer Science/Informatics, Electronics, Communication and Information Technologies. The major topics include, but are not limited to the following: Algorithms, Artificial intelligence, Automata and logic, Big data, Cloud and high-performance computing, Coding theory, Cognitive algorithms and models, Combinatorial analysis, Computational science, Computer architecture and engineering, Computer graphics and visualization, Computer security and cryptography, Concurrent, parallel and distributed systems, Cryptography and cyber-security, Data manipulation, Data retrieval, Data storage, Data structures, Data transmission, Databases, Design and test, Discrete mathematics, Distributed systems, Electromagnetics, Image processing, Information and coding theory, Information and communications technology (ICT), Information retrieval, Information science, Information systems, Information technologies applications, Information theory, Internet of things (IoT), Machine learning, Microelectronics, Nanoelectronics, Networking, Pattern recognition, Programming language theory, Signal processing, Software engineering, Telecommunication, Theory of computation, Transmission lines, and Wave propagation.

Papers for publication in this journal are selected through rigorous peer review, to ensure originality, timeliness, relevance, and readability. This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Universitas Ahmad Dahlan.

Ongoing Issue: Vol 7, No 1: March 2026

The journal is published four-monthly (March, July and November). Submit your manuscripts today!

Kindly please download the CSIT template in MS Word or LaTeX

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Should you cite yourself or not? avoid citing your published papers "self-citations" to this publisher whenever possible in the future
Self-citation in academic publishing is a complex issue that can have a significant impact on how people perceive scholarly work. Institutional frameworks may unintentionally encourage authors to cite themselves, reducing the value of their work. This raises concerns about academic integrity and the possibility of technical plagiarism. Researchers should consider why authors self-cite and promote honesty in scholarly communication in order to reduce self-citation and increase credibility. Authors should exercise caution when citing their own work, particularly if they write for the same publisher. This can raise concerns about academic integrity and result in biased research dissemination. Avoiding self-citation not only improves the credibility of their work, but it also encourages a more comprehensive engagement with a larger body of scholarship. Understanding proper citation techniques strengthens an author's adherence to ethical scholarly practices. Navigating the nuances of academic citation practices is critical for scholars seeking integrity and clarity in their work. Over-reliance on one's own publications may unintentionally indicate a lack of interaction with the broader scholarly community. Scholars from various backgrounds may face unique challenges in understanding academic integrity conventions, particularly those involving self-referential citations. To maintain objectivity and credibility, authors should use a strategic approach when referencing their own work. Overreliance on previous papers can give the impression of self-validation and reduce the impact of research within the larger academic discourse. As a result, authors should avoid citing their published papers from this publisher whenever possible in the future.
Posted: 2025-02-15	More...