Saïd Benkaciali

407 citations
18 papers · 299 · h-index 10

Impact in

Papers in

Saïd Benkaciali

17 papers receiving 293 citations

Peers

Saïd Benkaciali
Comparison fields: 5 of 50
  • Renewable Energy, Sustainability and the Environment 176
  • Artificial Intelligence 239
  • Electrical and Electronic Engineering 191
  • Energy Engineering and Power Technology 10
  • Management Science and Operations Research 29
Replace Emre Akarslan with:
Emre Akarslan Türkiye
Pedro M. Lara-Santillán Spain
Alessandro Perotto Italy
Enrico Maggioni Italy
Marcelo Pinho Almeida Brazil
Francesco Spada Italy
R. Marchante Spain
Yashwant Kashyap India
F. Díaz Spain
Remus Boata Romania
Saïd Benkaciali relative to Emre Akarslan Türkiye Emre Akarslan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Saïd Benkaciali

Since Specialization
Citations

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

Fields of papers citing papers by Saïd Benkaciali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Saïd Benkaciali, 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 Saïd Benkaciali Line = papers co-authored together Saïd Benkaciali links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201847
2 201943
3 201842
4 202138
5 201521
6 202219
7 201119
8 202117
9 201815
10 201915
11
Daily global solar radiation modelling using multi-layer perceptron neural networks in semi-arid region
20169
12 20236
13 20232
14 20082
15 20232
16 20091
17 20231
18 20250

About Saïd Benkaciali

Saïd Benkaciali is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Ecology, having authored 18 papers that have together received 299 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (17 papers), Photovoltaic System Optimization Techniques (11 papers), Energy Load and Power Forecasting (8 papers), Solar Thermal and Photovoltaic Systems (5 papers), Advanced Image Fusion Techniques (1 paper), Oil Palm Production and Sustainability (1 paper), Air Quality Monitoring and Forecasting (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 (176 citations), Artificial Intelligence (239 citations), Electrical and Electronic Engineering (191 citations), Energy Engineering and Power Technology (10 citations) and Management Science and Operations Research (29 citations). Saïd Benkaciali has collaborated with scholars based in Algeria, France and Australia. Frequent co-authors include Kacem Gairaa, Mawloud Guermoui, Abdelaziz Rabehi, Kada Bouchouicha, A. Khellaf, Tayeb Boulmaiz, John Boland, Mourad Haddadi, Youcef Messlem and Nadjem Bailek. Their work appears in journals such as Renewable Energy, International Journal of Ambient Energy, Neural Computing and Applications, Sustainability and The European Physical Journal Plus.

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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