A. Guessoum

40 papers receiving 760 citations

Peers

A. Guessoum
Comparison fields: 5 of 61
  • Renewable Energy, Sustainability and the Environment 488
  • Energy Engineering and Power Technology 66
  • Artificial Intelligence 436
  • Electrical and Electronic Engineering 422
  • Automotive Engineering 60
Replace Abdelouhab Zeroual with:
Abdelouhab Zeroual Morocco
Mahmoud A. Attia Egypt
B Rajanarayan Prusty India
Yassine El Houm Morocco
Sumit Saroha India
Jian Xiao China
A.H. Coonick United Kingdom
Lei Dong China
Jinhua Zhang China
Lin Fan China
A. Guessoum relative to Abdelouhab Zeroual Morocco Abdelouhab Zeroual's profile →
Citations per field
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Abdelouhab Zeroual · 1×
Citations per year

Countries citing papers authored by A. Guessoum

Since Specialization
Citations

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

Fields of papers citing papers by A. Guessoum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011237
2 2005144
3 201194
4 200468
5 198646
6 200439
7 200828
8 200426
9 201319
10 20179
11 20148
12 20057
13 20077
14 20167
15 20037
16 20146
17 20096
18 20096
19
Artificial neural Network-Based modeling and monitoring of photovoltaic generator
20154
20 20104

About A. Guessoum

A. Guessoum is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 47 papers that have together received 815 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (12 papers), Photovoltaic System Optimization Techniques (11 papers), Solar Radiation and Photovoltaics (10 papers), Advanced Adaptive Filtering Techniques (7 papers), Energy Load and Power Forecasting (7 papers), Digital Filter Design and Implementation (5 papers), Structural Health Monitoring Techniques (5 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (488 citations), Energy Engineering and Power Technology (66 citations), Artificial Intelligence (436 citations), Electrical and Electronic Engineering (422 citations) and Automotive Engineering (60 citations). A. Guessoum has collaborated with scholars based in Algeria, United Kingdom and United States. Frequent co-authors include A. Mellit, A. Messai, Soteris A. Kalogirou, Amar Hadj Arab, M. Benghanem, R. Mersereau, Hemza Mekki, Alessandro Pavan, A. Maafi and L. Sicot. Their work appears in journals such as Solar Energy, Journal of Applied Sciences, Journal of Visual Communication and Image Representation, Chaos Solitons & Fractals and Solar Energy Materials and Solar Cells.

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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