Mohamed Zahran

5 papers and 4 indexed citations i.

About

Mohamed Zahran is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohamed Zahran has authored 5 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Mohamed Zahran’s work include Kidney Stones and Urolithiasis Treatments (2 papers), Markov Chains and Monte Carlo Methods (1 paper) and Advanced Neural Network Applications (1 paper). Mohamed Zahran is often cited by papers focused on Kidney Stones and Urolithiasis Treatments (2 papers), Markov Chains and Monte Carlo Methods (1 paper) and Advanced Neural Network Applications (1 paper). Mohamed Zahran collaborates with scholars based in Egypt, Kuwait and United States. Mohamed Zahran's co-authors include Mohsen Rashwan, Sonia Fahmy, Hazem Raafat, Ahmed A. Shokeir, Mohamed Abou El‐Ghar, Bruno Ribeiro, Moemen Abdel-Razek, Hesham M. Eraqi and ‬Ahmed M. Harraz and has published in prestigious journals such as The Journal of Urology, The Egyptian Journal of Radiology and Nuclear Medicine and arXiv (Cornell University).

In The Last Decade

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

Fields of papers citing papers by Mohamed Zahran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed Zahran. 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 Zahran. The network helps show where Mohamed Zahran may publish in the future.

Countries citing papers authored by Mohamed Zahran

Since Specialization
Citations

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