Amena Mahmoud

23 papers and 210 indexed citations i.

About

Amena Mahmoud is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Amena Mahmoud has authored 23 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Amena Mahmoud’s work include AI in cancer detection (5 papers), COVID-19 diagnosis using AI (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Amena Mahmoud is often cited by papers focused on AI in cancer detection (5 papers), COVID-19 diagnosis using AI (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Amena Mahmoud collaborates with scholars based in Egypt, Saudi Arabia and India. Amena Mahmoud's co-authors include Mahmoud Y. Shams, Mazhar Javed Awan, Omar M. Elzeki, Mazin Abed Mohammed, Saddam Hussain Khan, Mohamed Elaraby, Santosh Kumar Bharti, Wael Said, Hanaa Salem and Muhammad Owais and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Amena Mahmoud i

Fields of papers citing papers by Amena Mahmoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amena Mahmoud

Since Specialization
Citations

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