International Journal of Electronics and Telecommunications
Published by Polska Akademia Nauk
ISSN : 2081-8491 eISSN : 2300-1933
Abbreviation : Int. J. Electron. Telecommun.
Metrics & Ranking
Journal Rank
Year | Value |
---|---|
2024 | 20232 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 314 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.217 |
Impact Factor
Year | Value |
---|---|
2024 | 0.50 |
Quartile
Year | Value |
---|---|
2024 | Q3 |
h-index
Year | Value |
---|---|
2024 | 23 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, 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
- Preservation 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 and Engineering, ensuring accessibility and quality in research dissemination.
This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 500.00 PLN. Learn more.
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.
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Optimal Method for Polarization Selection of Stationary Objects Against the Background of the Earth’s Surface
Citation: 25
Authors: Simeon, Yuliya, Eduard, Maksym, Oleksandr, Valerii, Nataliia, Anatoliy, Olga, Vladimir, Olena, Nikolay, Kostiantyn, Tatyana, Oleksandr, Borys, Ivan
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Compact Thermal Models of Semiconductor Devices – a Review
Citation: 23
Authors: Krzysztof, Janusz, Paweł, Przemysław
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Investigation of QoS Performance Evaluation over 5G Network for Indoor Environment at Millimeter Wave Bands
Citation: 21
Authors: Faizan, MHD Nour, Talib, Kaharudin, Iraj S.
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Memristors: a Short Review on Fundamentals, Structures, Materials and Applications
Citation: 20
Authors: Jarosław, Damian, Tomasz, Ewa
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Design and Analysis of a Hybrid Circularly Polarized Multi-Band MIMO Antenna for Sub 6 GHz Applications
Citation: 13
Authors: S., Habibulla, B.T.P., D. Ram, M.
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An Autonomous Wearable Sensor Node for Long-Term Healthcare Monitoring Powered by a Photovoltaic Energy Harvesting System
Citation: 13
Authors: Saeed, Abdelhalim, Khaled, Mohamed
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Performance evaluation of microservices communication with REST, GraphQL, and gRPC
Citation: 12
Authors: Muhammad, Reza, Anugrayani, Iqra
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Payload Enhancement on Least Significant Bit Image Steganography Using Edge Area Dilation
Citation: 11
Authors: De Rosal Ignatius Moses
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Optimal Ensemble Learning Based on Distinctive Feature Selection by Univariate ANOVA-F Statistics for IDS
Citation: 11
Authors: Shaikh, N. Sai, P Mohan, T. Kavya, M. Mahesh