Sofiane Kichou

21 papers receiving 656 citations

Sofiane Kichou's Hit Papers

Faults detection and diagnosis of PV systems based on machine learning approach using random forest classifier 2024 · 111 citations
1110+1Years since publication255075100

Peers

Sofiane Kichou
Comparison fields: 5 of 52
  • Renewable Energy, Sustainability and the Environment 487
  • Energy Engineering and Power Technology 41
  • Artificial Intelligence 252
  • Automotive Engineering 71
  • Electrical and Electronic Engineering 330
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Mark Dales United Kingdom
Siva Ramakrishna Madeti India
Bruce Mehrdadi United Kingdom
Marco Rossi Italy
Mahmoud Dhimish United Kingdom
Marium Jalal Pakistan
Madhu Sharma India
Yassine Chaibi Morocco
U. Jahn Italy
Eleni Kaplani Greece
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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 21 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 →
2024111
2 201584
3 201659
4 202052
5 202451
6 201647
7 201646
8 201644
9 201636
10 202234
11 201623
12 201922
13 202020
14 202218
15 202411
16 20249
17 20189
18 20255
19 20164
20 20192

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 Building and Construction, having authored 21 papers that have together received 688 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (14 papers), Solar Radiation and Photovoltaics (14 papers), Solar Thermal and Photovoltaic Systems (7 papers), Silicon and Solar Cell Technologies (4 papers), Building Energy and Comfort Optimization (3 papers), solar cell performance optimization (3 papers), Microgrid Control and Optimization (3 papers) and Energy Load and Power Forecasting (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (487 citations), Energy Engineering and Power Technology (41 citations), Artificial Intelligence (252 citations), Automotive Engineering (71 citations) and Electrical and Electronic Engineering (330 citations). Sofiane Kichou has collaborated with scholars based in Spain, Czechia and Algeria. Frequent co-authors include Aissa Chouder, Santiago Silvestre, G. Nofuentes, Houcine Oudira, Νικόλαος Σκάνδαλος, Llanos Mora‐López, Engin Karatepe, Daniel Guasch Murillo, Kamel Kara and M. Alonso-Abellá. Their work appears in journals such as Energies, Energy, Solar Energy, Energy Conversion and Management and Data in Brief.

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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