IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India)

Aims & Scope

IETE Technical Review is a world-leading journal which publishes state-of-the-art review papers and in-depth tutorial papers on current and futuristic technologies in the area of electronics and telecommunications engineering.

We also publish original research papers which demonstrate significant advances.

Subjects covered by this journal include, but are not limited to: • Artificial intelligence • Bio-informatics • Biomedical electronics • Broadcasting • Circuits and systems • Communications • Computers • Computer graphics • Computer aided design (CAD) • Control and automation • Control systems • Display technology • Distributed systems • Digital communication • Electromagnetics • Electronic devices and components • Fuzzy systems • Image processing • Industrial electronics • Information technology • Instrumentation and measurements • Intelligent computing and systems • Internet computing • Knowledge and data engineering • Medical Electronics • Microelectromechanical systems • Microwaves and antennas • Mobile computing • Multimedia • Nanotechnology • Networking • Optoelectronics • Power electronics • Remote sensing • Quantum electronics • Reliability • Sensors • Signal processing • Space electronics • Vehicular communications • VLSI • Wireless communications.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.8
2024	2.50

Journal Rank

Year	Value
2024	8512

Journal Citation Indicator

Year	Value
2024	904

SJR (SCImago Journal Rank)

Year	Value
2024	0.672

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	48

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.

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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.

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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.

• Memristor-Based Chaotic Circuits

  Citation: 282

  Authors: Bharathwaj, PrachetaP

• Internet of Medical Things (IoMT): Overview, Emerging Technologies, and Case Studies

  Citation: 260

  Authors: Sahshanu, Sachin

• Medical Image Segmentation Methods, Algorithms, and Applications

  Citation: 243

  Authors: Alireza, Mohd Shafry Mohd, Ayman, Tanzila, Abdolvahab Ehsani, Amjad, Mueen

• PCA-based Feature Reduction for Hyperspectral Remote Sensing Image Classification

  Citation: 240

  Authors: Md. Palash, Md. Al, Md. Ali

• A Survey of Decision Fusion and Feature Fusion Strategies for Pattern Classification

  Citation: 231

  Authors: UttharaGosa, Suranjana, Sukhendu, PinakiRoy

• Tools and Technologies for Blind and Visually Impaired Navigation Support: A Review

  Citation: 178

  Authors: Bineeth, Raju, Frode Eika

• Internet of Things: A Comprehensive Review of Enabling Technologies, Architecture, and Challenges

  Citation: 143

  Authors: Bhagya Nathali, Murad, Kijun

• Sercon: Server Consolidation Algorithm using Live Migration of Virtual Machines for Green Computing

  Citation: 140

  Authors: Aziz, Sangyoon

• Challenges for Database Management in the Internet of Things

  Citation: 132

  Authors: Joshua, Anne

• A Review of Ensemble Learning Based Feature Selection

  Citation: 118

  Authors: Donghai, Weiwei, Young-Koo, Kamran, Mostofa Kamal

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