Aly Fahmy

14 papers and 997 indexed citations i.

About

Aly Fahmy is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Aly Fahmy has authored 14 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Aly Fahmy’s work include Natural Language Processing Techniques (6 papers), AI in cancer detection (5 papers) and Text Readability and Simplification (3 papers). Aly Fahmy is often cited by papers focused on Natural Language Processing Techniques (6 papers), AI in cancer detection (5 papers) and Text Readability and Simplification (3 papers). Aly Fahmy collaborates with scholars based in Egypt, United Arab Emirates and United States. Aly Fahmy's co-authors include Mohammed Mohammed Mohammed Gomaa, Maha Helal, Abeer ElKorany, Aboul Ella Hassanien, Abdou Youssef, Khaled Shaalan, Samir Abdelrahman, Iman Saleh, Hesham Hassan and Sherif Abdou and has published in prestigious journals such as IEEE Access, Scientific Data and European Journal of Radiology.

In The Last Decade

Co-authorship network of co-authors of Aly Fahmy i

Fields of papers citing papers by Aly Fahmy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aly Fahmy

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025