Rasha Kamal

35 papers and 412 indexed citations i.

About

Rasha Kamal is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Rasha Kamal has authored 35 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 9 papers in Artificial Intelligence. Recurrent topics in Rasha Kamal’s work include Digital Radiography and Breast Imaging (10 papers), Breast Lesions and Carcinomas (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Rasha Kamal is often cited by papers focused on Digital Radiography and Breast Imaging (10 papers), Breast Lesions and Carcinomas (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Rasha Kamal collaborates with scholars based in Egypt, United States and Saudi Arabia. Rasha Kamal's co-authors include Sahar Mansour, Dorria Salem, Nelly Alieldin, Maha Helal, Inas Mazen, Mona El Gammal, Ahmed Hussien, M. A. HASSAN, Muhammad A. Rushdi and Mohamed A. Abdoon and has published in prestigious journals such as Journal of Clinical Oncology, Osteoarthritis and Cartilage and British Journal of Radiology.

In The Last Decade

Co-authorship network of co-authors of Rasha Kamal i

Fields of papers citing papers by Rasha Kamal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rasha Kamal

Since Specialization
Citations

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