Mhamed Sayyouri

73 papers and 1.2k indexed citations i.

About

Mhamed Sayyouri is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mhamed Sayyouri has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 13 papers in Media Technology. Recurrent topics in Mhamed Sayyouri’s work include Image Retrieval and Classification Techniques (31 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Chaos-based Image/Signal Encryption (21 papers). Mhamed Sayyouri is often cited by papers focused on Image Retrieval and Classification Techniques (31 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Chaos-based Image/Signal Encryption (21 papers). Mhamed Sayyouri collaborates with scholars based in Morocco, Saudi Arabia and Egypt. Mhamed Sayyouri's co-authors include Hassan Qjidaa, Hicham Karmouni, Achraf Daoui, Mohamed Yamni and Omar El Ogri and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Fields of papers citing papers by Mhamed Sayyouri

Since Specialization
EngineeringComputer 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 Mhamed Sayyouri. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mhamed Sayyouri may publish in the future.

Countries citing papers authored by Mhamed Sayyouri

Since Specialization
Citations

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

Rankless by CCL
2025