National School of Electronics and Telecommunications of Sfax, Tunisia
Impact in
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
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- Brain Tumor Detection and Classification
Papers in
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- Network Security and Intrusion Detection 44
- IoT and Edge/Fog Computing 20
National School of Electronics and Telecommunications of Sfax, Tunisia
647 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 159
- Computer Networks and Communications 929
- Neurology 255
- Computer Vision and Pattern Recognition 574
- Electrical and Electronic Engineering 1.1k
- Human-Computer Interaction 143
Countries citing scholars working at National School of Electronics and Telecommunications of Sfax, Tunisia
This map shows the geographic impact of research produced by authors working at National School of Electronics and Telecommunications of Sfax, Tunisia. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at National School of Electronics and Telecommunications of Sfax, Tunisia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites National School of Electronics and Telecommunications of Sfax, Tunisia more than expected).
Fields of papers published by authors at National School of Electronics and Telecommunications of Sfax, Tunisia
This network shows the impact of papers affiliated with National School of Electronics and Telecommunications of Sfax, Tunisia at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with National School of Electronics and Telecommunications of Sfax, Tunisia at the time of their publication.
About National School of Electronics and Telecommunications of Sfax, Tunisia
In recent decades, authors affiliated with National School of Electronics and Telecommunications of Sfax, Tunisia have published 745 papers, which have received a total of 5.5k indexed citations . Scholars at this organization have produced 116 papers in Computer Networks and Communications, 99 papers in Computer Vision and Pattern Recognition, 188 papers in Electrical and Electronic Engineering, 79 papers in Information Systems and 23 papers in Signal Processing on the topics of Vehicular Ad Hoc Networks (VANETs) (54 papers), Network Security and Intrusion Detection (44 papers), Wind Turbine Control Systems (23 papers), Cloud Computing and Resource Management (22 papers), Electric Motor Design and Analysis (21 papers), Advanced Wireless Network Optimization (21 papers), Blockchain Technology Applications and Security (20 papers) and IoT and Edge/Fog Computing (20 papers). Their work is cited by papers focused on Computer Networks and Communications (929 citations), Neurology (255 citations), Computer Vision and Pattern Recognition (574 citations), Electrical and Electronic Engineering (1.1k citations) and Human-Computer Interaction (143 citations). Authors at National School of Electronics and Telecommunications of Sfax, Tunisia collaborate with scholars in Tunisia, France and Germany and have published in prestigious journals including Multimedia Tools and Applications, IEEE Access, Wind Engineering, Sensors and Energies. Some of National School of Electronics and Telecommunications of Sfax, Tunisia's most productive authors include Lamia Chaari Fourati, Faouzi Zarai, Jean Pierre Ibar, Ahmed Fakhfakh, Samiha Ayed, Tarek Abbes, Souhir Tounsi, Amel Meddeb-Makhlouf, Mondher Frikha and Ikram Amous.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.