Fahmi Khalifa

111 papers and 1.8k indexed citations i.

About

Fahmi Khalifa is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Fahmi Khalifa has authored 111 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Radiology, Nuclear Medicine and Imaging, 47 papers in Computer Vision and Pattern Recognition and 26 papers in Artificial Intelligence. Recurrent topics in Fahmi Khalifa’s work include Medical Image Segmentation Techniques (31 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and MRI in cancer diagnosis (20 papers). Fahmi Khalifa is often cited by papers focused on Medical Image Segmentation Techniques (31 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and MRI in cancer diagnosis (20 papers). Fahmi Khalifa collaborates with scholars based in United States, Egypt and United Arab Emirates. Fahmi Khalifa's co-authors include Ayman El–Baz, Mohamed Abou El‐Ghar, Ahmed Soliman, Georgy Gimel’farb, Ahmed Elnakib, Tarek El‐Diasty, Mohammed Ghazal, Amy C. Dwyer, Mohamed A. Mohamed and Rosemary Ouseph and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Fahmi Khalifa i

Fields of papers citing papers by Fahmi Khalifa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fahmi Khalifa

Since Specialization
Citations

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