Mounir Samet

1.2k citations
82 papers · 896 · h-index 14

Impact in

Papers in

Mounir Samet

77 papers receiving 844 citations

Peers

Mounir Samet
Comparison fields: 5 of 87
  • Cognitive Neuroscience 346
  • Signal Processing 125
  • Computer Vision and Pattern Recognition 193
  • Experimental and Cognitive Psychology 80
  • Artificial Intelligence 164
Replace Jaeseok Kim with:
Jaeseok Kim South Korea
Carlos Eduardo Thomaz Brazil
Thinh Nguyen United States
Rami Alazrai Jordan
Mohammad-Parsa Hosseini United States
Yu Zhao United States
Mitul Kumar Ahirwal India
Musa Peker Türkiye
Yisheng Zhu China
Mounir Samet relative to Jaeseok Kim South Korea Jaeseok Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mounir Samet

Since Specialization
Citations

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

Fields of papers citing papers by Mounir Samet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mounir Samet. 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 Mounir Samet. The network helps show where Mounir Samet may publish in the future.

Co-authors

The 24 scholars most cited alongside Mounir Samet, 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 Mounir Samet Line = papers co-authored together Mounir Samet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015234
2 201586
3 201551
4 201437
5 200734
6 201334
7 201325
8 201723
9 201422
10 201916
11
A Comparaison of Methods for Detection of High Frequency Oscillations (HFOs) in Human Intacerberal EEG Recordings
201315
12 201515
13 201514
14 201213
15 200012
16 201211
17 200810
18 200610
19 20109
20 20149

About Mounir Samet

Mounir Samet is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cognitive Neuroscience, Artificial Intelligence and Signal Processing, having authored 82 papers that have together received 896 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (20 papers), Energy Harvesting in Wireless Networks (20 papers), Advancements in PLL and VCO Technologies (12 papers), EEG and Brain-Computer Interfaces (10 papers), Antenna Design and Analysis (8 papers), Wireless Body Area Networks (8 papers), Underwater Vehicles and Communication Systems (8 papers) and Analog and Mixed-Signal Circuit Design (7 papers). The work is most often cited by research in Cognitive Neuroscience (346 citations), Signal Processing (125 citations), Computer Vision and Pattern Recognition (193 citations), Experimental and Cognitive Psychology (80 citations) and Artificial Intelligence (164 citations). Mounir Samet has collaborated with scholars based in Tunisia, France and United States. Frequent co-authors include Abdennaceur Kachouri, Sahbi Chaibi, Tarek Lajnef, Karim Jerbi, Jean‐Baptiste Eichenlaub, Perrine Ruby, Pierre‐Emmanuel Aguera, Mohamed Amine Ben Farah, Ramzi Guesmi and Nejah Nasri. Their work appears in journals such as International Journal of RF and Microwave Computer-Aided Engineering, Journal of Applied Sciences, Frontiers in Human Neuroscience, Acta acustica united with Acustica and Biomedical Signal Processing and Control.

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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