Mohammed Mestari
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Renewable Energy, Sustainability and the Environment
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Lhoussain BahattiMohamed TabaaMohamed El KhaïliManuel GrañaAbdelwahed NamirMohamed YoussfiVassilis G. KaburlasosChris Lytridis
- Topics
- Robotic Path Planning Algorithms (10 papers)Energy Load and Power Forecasting (8 papers)Photovoltaic System Optimization Techniques (6 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentArtificial IntelligenceMedical Laboratory Technology
In The Last Decade
Mohammed Mestari
43 papers receiving 229 citations
Peers
Comparison fields: 5 of 64
- Electrical and Electronic Engineering 109
- Artificial Intelligence 106
- Renewable Energy, Sustainability and the Environment 54
- Computer Vision and Pattern Recognition 51
- Computer Networks and Communications 50
Countries citing papers authored by Mohammed Mestari
This map shows the geographic impact of Mohammed Mestari'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 Mohammed Mestari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Mestari more than expected).
Fields of papers citing papers by Mohammed Mestari
This network shows the impact of papers produced by Mohammed Mestari. 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 Mohammed Mestari. The network helps show where Mohammed Mestari may publish in the future.
Co-authorship network of co-authors of Mohammed Mestari
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Mestari. A scholar is included among the top collaborators of Mohammed Mestari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammed Mestari. Mohammed Mestari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | Θ(1) Time Neural Network Minimum Distance Classifier and its Application to Optical Character Recognition Problem | 2 |
| 19 | 14 | |
| 20 | AOSNET: a neural network implementation of adjustable order statistic filters in fixed time | 4 |
About Mohammed Mestari
Mohammed Mestari is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Medical Laboratory Technology, having authored 50 papers that have together received 253 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Energy Load and Power Forecasting (8 papers) and Photovoltaic System Optimization Techniques (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (54 citations), Artificial Intelligence (106 citations) and Medical Laboratory Technology (4 citations). Mohammed Mestari has collaborated with scholars based in Morocco, Greece and Spain. Frequent co-authors include Lhoussain Bahatti, Mohamed Tabaa, Mohamed El Khaïli, Manuel Graña, Abdelwahed Namir, Mohamed Youssfi, Vassilis G. Kaburlasos, Chris Lytridis, Omar Bouattane and Mostafa Rachik. Their work appears in journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and International Journal of Engineering Science.
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.