Esraa Hassan

23 papers and 192 indexed citations i.

About

Esraa Hassan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Esraa Hassan has authored 23 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Esraa Hassan’s work include AI in cancer detection (6 papers), Smart Agriculture and AI (3 papers) and COVID-19 diagnosis using AI (3 papers). Esraa Hassan is often cited by papers focused on AI in cancer detection (6 papers), Smart Agriculture and AI (3 papers) and COVID-19 diagnosis using AI (3 papers). Esraa Hassan collaborates with scholars based in Egypt, United States and Saudi Arabia. Esraa Hassan's co-authors include Fatma M. Talaat, Abeer Saber, Nora El-Rashidy, Khaled Alnowaiser, Mahmoud Y. Shams, Tarek Abd El‐Hafeez, Gamal A. Gouda, Samah A. Gamel, Wael A. Awad and Shaker El–Sappagh and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Frontiers in Plant Science.

In The Last Decade

Co-authorship network of co-authors of Esraa Hassan i

Fields of papers citing papers by Esraa Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Esraa Hassan

Since Specialization
Citations

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