Fatma Taher

62 papers and 647 indexed citations i.

About

Fatma Taher is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fatma Taher has authored 62 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fatma Taher’s work include Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (10 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Fatma Taher is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (10 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Fatma Taher collaborates with scholars based in United Arab Emirates, Egypt and United States. Fatma Taher's co-authors include Ayman El–Baz, Naoufel Werghi, Hussam Al Hamadi, Mohammed Ghazal, Hussain Al-Ahmad, Ahmed Soliman, Ernesto Damiani, Chan Yeob Yeun, Zhibo Zhang and Robert Keynton and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Fatma Taher i

Fields of papers citing papers by Fatma Taher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fatma Taher

Since Specialization
Citations

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