Annales des Telecommunications/Annals of Telecommunications
Published by Springer Nature
ISSN : 0003-4347 eISSN : 1958-9395
Abbreviation : Ann. Telecommun. Telecommun.
Aims & Scope
Annals of Telecommunications is an international journal publishing original peer-reviewed papers in the field of telecommunications.
It covers all the essential branches of modern telecommunications, ranging from digital communications to communication networks and the internet, to software, protocols and services, uses and economics.
This large spectrum of topics accounts for the rapid convergence through telecommunications of the underlying technologies in computers, communications, content management towards the emergence of the information and knowledge society.
As a consequence, the Journal provides a medium for exchanging research results and technological achievements accomplished by the European and international scientific community from academia and industry.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 2.2 |
2024 | 1.80 |
Journal Rank
Year | Value |
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2024 | 10572 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 514 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.550 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
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 Engineering, designed to support cutting-edge academic discovery.
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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Survey of NLOS identification and error mitigation problems in UWB-based positioning algorithms for dense environments
Citation: 190
Authors: Jasurbek, Yongwan, Aamir
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Lightweight deep network for traffic sign classification
Citation: 186
Authors: Jianming, Wei, Chaoquan, Jin, Arun Kumar
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OFDM with reduced peak-to-average power ratio by multiple signal representation
Citation: 183
Authors: Stefan H., Robert W., Robert F. H., Johannes B.
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Elasticity in cloud computing: a survey
Citation: 120
Authors: Emanuel Ferreira, Flávio Rubens, Paulo Antonio Leal, Danielo Gonçalves, José Neuman
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How visual fatigue and discomfort impact 3D-TV quality of experience: a comprehensive review of technological, psychophysical, and psychological factors
Citation: 98
Authors: Matthieu, Marcus, Patrick
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Quality of Experience from user and network perspectives
Citation: 96
Authors: Junaid, Markus, Denis
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Efficient and privacy-preserving traceable attribute-based encryption in blockchain
Citation: 94
Authors: Axin, Yinghui, Xiaokun, Rui, Qinglan, Dong
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A review on machine learning–based approaches for Internet traffic classification
Citation: 92
Authors: Ola, Imad H., Ayman, Ali