Hager Saleh

24 papers and 428 indexed citations i.

About

Hager Saleh is a scholar working on Artificial Intelligence, Health Information Management and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hager Saleh has authored 24 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Health Information Management and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hager Saleh’s work include Artificial Intelligence in Healthcare (11 papers), Machine Learning in Healthcare (6 papers) and AI in cancer detection (4 papers). Hager Saleh is often cited by papers focused on Artificial Intelligence in Healthcare (11 papers), Machine Learning in Healthcare (6 papers) and AI in cancer detection (4 papers). Hager Saleh collaborates with scholars based in Egypt, Saudi Arabia and South Korea. Hager Saleh's co-authors include Shaker El–Sappagh, Abdelmgeid A. Ali, Eman M. G. Younis, Abdeltawab Hendawi, Abdullah Alharbi, Saeed Hamood Alsamhi, Tamer Abuhmed, Farman Ali, Eslam Amer and Radhya Sahal and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Hager Saleh i

Fields of papers citing papers by Hager Saleh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hager Saleh

Since Specialization
Citations

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