Shadi Albarqouni

45 papers and 2.8k indexed citations i.

About

Shadi Albarqouni is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shadi Albarqouni has authored 45 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Artificial Intelligence and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shadi Albarqouni’s work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and COVID-19 diagnosis using AI (9 papers). Shadi Albarqouni is often cited by papers focused on AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and COVID-19 diagnosis using AI (9 papers). Shadi Albarqouni collaborates with scholars based in Germany, United States and United Kingdom. Shadi Albarqouni's co-authors include Nassir Navab, Christoph Baur, Maximilian Baust, M. Jorge Cardoso, Nicola Rieke, Fausto Milletarì, Stefanie Demirci, Daguang Xu, Spyridon Bakas and Bennett A. Landman and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Journal of Clinical Medicine.

In The Last Decade

Co-authorship network of co-authors of Shadi Albarqouni i

Fields of papers citing papers by Shadi Albarqouni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shadi Albarqouni

Since Specialization
Citations

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