Adnane Chérif

61 papers receiving 686 citations

Peers

Adnane Chérif
Comparison fields: 5 of 74
  • Energy Engineering and Power Technology 117
  • Signal Processing 143
  • Renewable Energy, Sustainability and the Environment 187
  • Automotive Engineering 128
  • Control and Systems Engineering 211
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Citations per year

Countries citing papers authored by Adnane Chérif

Since Specialization
Citations

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

Fields of papers citing papers by Adnane Chérif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Adnane Chérif, 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 Adnane Chérif Line = papers co-authored together Adnane Chérif links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200891
2 201559
3 200255
4 200847
5 201737
6 201932
7 200828
8 201526
9 200725
10
Voice Disorders Identification Using Multilayer Neural Network.
201024
11 201222
12 201721
13 201718
14 200618
15 201617
16 201615
17 201014
18 202013
19 202011
20
An Efficient External Energy Maximization-based Energy Management Strategy for a Battery/Supercapacitor of a Micro Grid System
202011

About Adnane Chérif

Adnane Chérif is a scholar working on Signal Processing, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 70 papers that have together received 734 indexed citations. Recurring topics across this work include Speech and Audio Processing (21 papers), Speech Recognition and Synthesis (14 papers), Microgrid Control and Optimization (12 papers), Photovoltaic System Optimization Techniques (10 papers), Voice and Speech Disorders (9 papers), Blind Source Separation Techniques (8 papers), Advanced Adaptive Filtering Techniques (7 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (117 citations), Signal Processing (143 citations), Renewable Energy, Sustainability and the Environment (187 citations), Automotive Engineering (128 citations) and Control and Systems Engineering (211 citations). Adnane Chérif has collaborated with scholars based in Tunisia, Saudi Arabia and Denmark. Frequent co-authors include Sami Ben Slama, Mohammed Talbi, Bassam Zafar, Imene Yahyaoui, Abderezak Lashab, Josep M. Guerrero, Yusuf Al‐Turki, Abdullah Abusorrah, Sabeur Abid and Slim Ben Saoud. Their work appears in journals such as Energies, International Journal of Hydrogen Energy, Applied Acoustics, Journal of Applied Sciences and Journal of Parallel and Distributed Computing.

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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