Mohamed Ezz

33 papers and 268 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 33 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 15 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), Biometric Identification and Security (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), Biometric Identification and Security (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Mohamed Ezz collaborates with scholars based in Saudi Arabia, Egypt and Sudan. Mohamed Ezz's co-authors include Murtada K. Elbashir, Hany Harb, Meshrif Alruily, Saleh Naif Almuayqil, Mahmoud ElHefnawi, Wafaa Elakel, Rabab Salama, Mohammed Shokr, Amjad Alsirhani and A. A. Abd El-Aziz and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Mohamed Ezz i

Fields of papers citing papers by Mohamed Ezz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed Ezz. 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 Mohamed Ezz. 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 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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2025