Nada M. Elshennawy

16 papers and 526 indexed citations i.

About

Nada M. Elshennawy is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nada M. Elshennawy has authored 16 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nada M. Elshennawy’s work include COVID-19 diagnosis using AI (4 papers), Brain Tumor Detection and Classification (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Nada M. Elshennawy is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Brain Tumor Detection and Classification (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Nada M. Elshennawy collaborates with scholars based in Egypt, Saudi Arabia and United Kingdom. Nada M. Elshennawy's co-authors include Amany Sarhan, Dina M. Ibrahim, Richard Jiang, Haris Pervaiz, Dina M. Ibrahim and M. Arafa and has published in prestigious journals such as Expert Systems with Applications, Neural Computing and Applications and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Nada M. Elshennawy i

Fields of papers citing papers by Nada M. Elshennawy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nada M. Elshennawy. 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 Nada M. Elshennawy. The network helps show where Nada M. Elshennawy may publish in the future.

Countries citing papers authored by Nada M. Elshennawy

Since Specialization
Citations

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