Mohamed Ezz

30 papers and 245 indexed citations i.

About

Mohamed Ezz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mohamed Ezz has authored 30 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Mohamed Ezz’s work include AI in cancer detection (5 papers), Text and Document Classification Technologies (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Mohamed Ezz is often cited by papers focused on AI in cancer detection (5 papers), Text and Document Classification Technologies (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Mohamed Ezz collaborates with scholars based in Egypt, Saudi Arabia and South Africa. Mohamed Ezz's co-authors include Murtada K. Elbashir, Mahmoud ElHefnawi, Hany Harb, Amjad Alsirhani and Saleh Naif Almuayqil and has published in prestigious journals such as Sensors, IEEE Access and International Journal of Remote Sensing.

In The Last Decade

Fields of papers citing papers by Mohamed Ezz

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 Mohamed Ezz. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mohamed Ezz may publish in the future.

Countries citing papers authored by Mohamed Ezz

Since Specialization
Citations

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

Rankless by CCL
2025