Mohamed El Aroussi
About
Mohamed El Aroussi is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence.
According to data from OpenAlex, Mohamed El Aroussi has authored 33 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Mohamed El Aroussi’s work include Face and Expression Recognition (7 papers), Energy Load and Power Forecasting (6 papers) and Solar Radiation and Photovoltaics (5 papers). Mohamed El Aroussi is often cited by papers focused on Face and Expression Recognition (7 papers), Energy Load and Power Forecasting (6 papers) and Solar Radiation and Photovoltaics (5 papers). Mohamed El Aroussi collaborates with scholars based in Morocco, Canada and South Korea. Mohamed El Aroussi's co-authors include Driss Aboutajdine, Rachid Saadane, Abdellah Chehri, Ouadoudi Zytoune, Sanaa Ghouzali, Mohammed El Hassouni, Mohammed Rziza, Ahmed Chebak, Gwanggil Jeon and Hicham Medromi and has published in prestigious journals such as Solar Energy, Sensors and Fuzzy Sets and Systems.
In The Last Decade
Co-authorship network of co-authors of Mohamed El Aroussi i
Fields of papers citing papers by Mohamed El Aroussi
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Mohamed El Aroussi. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mohamed El Aroussi may publish in the future.
Countries citing papers authored by Mohamed El Aroussi
Since SpecializationCitations
This map shows the geographic impact of Mohamed El Aroussi'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 Mohamed El Aroussi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed El Aroussi more than expected).
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