Dalia Ezzat

7 papers and 388 indexed citations i.

About

Dalia Ezzat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Dalia Ezzat has authored 7 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Neurology. Recurrent topics in Dalia Ezzat’s work include Brain Tumor Detection and Classification (2 papers), COVID-19 diagnosis using AI (1 paper) and Water resources management and optimization (1 paper). Dalia Ezzat is often cited by papers focused on Brain Tumor Detection and Classification (2 papers), COVID-19 diagnosis using AI (1 paper) and Water resources management and optimization (1 paper). Dalia Ezzat collaborates with scholars based in Egypt and Poland. Dalia Ezzat's co-authors include Aboul Ella Hassanien, Ashraf Darwish, Hassan Aboul-Ella, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa, Adam Słowik, Ashraf Darwish and Mona Soliman and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Swarm and Evolutionary Computation.

In The Last Decade

Co-authorship network of co-authors of Dalia Ezzat i

Fields of papers citing papers by Dalia Ezzat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dalia Ezzat

Since Specialization
Citations

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