Sofiane Kharbech

714 citations
26 papers · 572 · h-index 11

Impact in

Papers in

Sofiane Kharbech

25 papers receiving 552 citations

Peers

Sofiane Kharbech
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 315
  • Artificial Intelligence 210
  • Computational Theory and Mathematics 88
  • Signal Processing 58
  • Statistical and Nonlinear Physics 48
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Xiaoqiang Zhu China
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Alaa M. Abbas Egypt
Xianxing Liu China
M. Samet Tunisia
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Jianeng Tang China
Laurent Alonso France
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Citations per field
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Citations per year

Countries citing papers authored by Sofiane Kharbech

Since Specialization
Citations

This map shows the geographic impact of Sofiane Kharbech's research. 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 Sofiane Kharbech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofiane Kharbech more than expected).

Fields of papers citing papers by Sofiane Kharbech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofiane Kharbech. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sofiane Kharbech. The network helps show where Sofiane Kharbech may publish in the future.

Co-authors

The 25 scholars most cited alongside Sofiane Kharbech, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sofiane Kharbech Line = papers co-authored together Sofiane Kharbech links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019226
2 202276
3 201640
4 201437
5 201932
6 201825
7 202118
8 202113
9 202012
10 202212
11 202011
12
Cognitive radio for high speed railway through dynamic and opportunistic spectrum reuse
201411
13 202110
14 20229
15 20239
16 20138
17 20207
18 20224
19 20203
20 20253

About Sofiane Kharbech

Sofiane Kharbech is a scholar working on Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 572 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (10 papers), Wireless Signal Modulation Classification (6 papers), Power Line Communications and Noise (6 papers), Cognitive Radio Networks and Spectrum Sensing (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Millimeter-Wave Propagation and Modeling (4 papers), Advanced MIMO Systems Optimization (4 papers) and Energy Harvesting in Wireless Networks (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (315 citations), Artificial Intelligence (210 citations), Computational Theory and Mathematics (88 citations), Signal Processing (58 citations) and Statistical and Nonlinear Physics (48 citations). Sofiane Kharbech has collaborated with scholars based in France, Tunisia and Australia. Frequent co-authors include Wei Xiang, Muhammad Talha, Akram Belazi, Eric Pierre Simon, Iyad Dayoub, Laurent Clavier, Ahmed A. Abd El‐Latif, Abdullah M. Iliyasu, Ammar Bouallègue and Kaïs Hassan. Their work appears in journals such as IEEE Access, IEEE Wireless Communications Letters, IEEE Transactions on Vehicular Technology, IEEE Communications Letters and Journal of Information Security and Applications.

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.

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