Sofiane Kichou

22 papers receiving 750 citations

Sofiane Kichou's Hit Papers

Faults detection and diagnosis of PV systems based on machine learning approach using random forest classifier 2024 · 121 citations
1210+1Years since publication4080120

Peers

Sofiane Kichou
Comparison fields: 5 of 54
  • Renewable Energy, Sustainability and the Environment 548
  • Energy Engineering and Power Technology 43
  • Artificial Intelligence 288
  • Electrical and Electronic Engineering 362
  • Automotive Engineering 72
Replace Mark Dales with:
Mark Dales United Kingdom
Siva Ramakrishna Madeti India
Bruce Mehrdadi United Kingdom
Marco Rossi Italy
U. Jahn Germany
Marium Jalal Pakistan
Yassine Chaibi Morocco
Eleni Kaplani Greece
Issam Attoui Algeria
Kamran Ali Khan Niazi Denmark
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Countries citing papers authored by Sofiane Kichou

Since Specialization
Citations

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

Fields of papers citing papers by Sofiane Kichou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Sofiane Kichou, 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 Kichou Line = papers co-authored together Sofiane Kichou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Faults detection and diagnosis of PV systems based on machine learning approach using random forest classifier
Hit paper breakdown →
2024121
2 201591
3 202060
4 201659
5 202454
6 201651
7 201649
8 201646
9 202239
10 201637
11 201831
12 201623
13 201923
14 202021
15 202218
16 202413
17 20249
18 20189
19 20256
20 20164

About Sofiane Kichou

Sofiane Kichou is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering and Environmental Engineering, having authored 22 papers that have together received 767 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (15 papers), Photovoltaic System Optimization Techniques (15 papers), Solar Thermal and Photovoltaic Systems (7 papers), Silicon and Solar Cell Technologies (4 papers), Photovoltaic Systems and Sustainability (3 papers), Microgrid Control and Optimization (3 papers), Energy Load and Power Forecasting (3 papers) and Building Energy and Comfort Optimization (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (548 citations), Energy Engineering and Power Technology (43 citations), Artificial Intelligence (288 citations), Electrical and Electronic Engineering (362 citations) and Automotive Engineering (72 citations). Sofiane Kichou has collaborated with scholars based in Spain, Czechia and Algeria. Frequent co-authors include Santiago Silvestre, Aissa Chouder, G. Nofuentes, Houcine Oudira, Νικόλαος Σκάνδαλος, Llanos Mora‐López, Engin Karatepe, Kamel Kara, Daniel Guasch Murillo and Emilio Muñoz. Their work appears in journals such as Energies, Solar Energy, Energy, Energy Conversion and Management and Journal of Energy Storage.

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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