Kacem Gairaa

25 papers receiving 820 citations

Peers

Kacem Gairaa
Comparison fields: 5 of 68
  • Renewable Energy, Sustainability and the Environment 496
  • Artificial Intelligence 675
  • Electrical and Electronic Engineering 483
  • Energy Engineering and Power Technology 24
  • Management Science and Operations Research 70
Replace Rich H. Inman with:
Rich H. Inman United States
Ted Soubdhan France
Llanos Mora‐López Spain
Martín Gastón Spain
Gokhan Mert Yagli Singapore
M.A. Behrang Iran
Zibo Dong Singapore
Bixuan Gao China
Khalil Benmouiza Algeria
Sophie Pelland Canada
Kacem Gairaa relative to Rich H. Inman United States Rich H. Inman's profile →
Citations per field
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Rich H. Inman · 1×
Citations per year

Countries citing papers authored by Kacem Gairaa

Since Specialization
Citations

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

Fields of papers citing papers by Kacem Gairaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kacem Gairaa, 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 Kacem Gairaa Line = papers co-authored together Kacem Gairaa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020201
2 2016117
3 2014103
4 201847
5 202045
6 201943
7 201842
8 202138
9 202229
10 201323
11 201521
12 202219
13 201119
14 201318
15 202117
16 201915
17 201713
18 20199
19 20236
20 20232

About Kacem Gairaa

Kacem Gairaa is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Environmental Engineering and Statistical and Nonlinear Physics, having authored 25 papers that have together received 834 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (24 papers), Photovoltaic System Optimization Techniques (18 papers), Energy Load and Power Forecasting (11 papers), Solar Thermal and Photovoltaic Systems (10 papers), Advanced Image Fusion Techniques (1 paper), Urban Heat Island Mitigation (1 paper), Oil Palm Production and Sustainability (1 paper) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (496 citations), Artificial Intelligence (675 citations), Electrical and Electronic Engineering (483 citations), Energy Engineering and Power Technology (24 citations) and Management Science and Operations Research (70 citations). Kacem Gairaa has collaborated with scholars based in Algeria, Australia and France. Frequent co-authors include Mawloud Guermoui, Saïd Benkaciali, Mohamed Lamine Mekhalfi, Farid Melgani, A. Khellaf, Farouk Chellali, Youcef Messlem, Abdelaziz Rabehi, Taqiy Eddine Boukelia and Mohamed Salah Mecibah. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production, Meteorologische Zeitschrift, Neural Computing and Applications and Journal of Solar Energy Engineering.

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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