Shekoofeh Azizi

19 papers and 685 indexed citations i.

About

Shekoofeh Azizi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shekoofeh Azizi has authored 19 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shekoofeh Azizi’s work include AI in cancer detection (8 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Shekoofeh Azizi is often cited by papers focused on AI in cancer detection (8 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Shekoofeh Azizi collaborates with scholars based in Canada, United States and South Korea. Shekoofeh Azizi's co-authors include Daesik Jang, Qiang Tang, Zili Yi, Zhan Xu, Basil Mustafa, Jan Freyberg, Alan Karthikesalingam, Ting Chen, Fiona Ryan and Vivek Natarajan and has published in prestigious journals such as Nature Medicine, IEEE Transactions on Information Theory and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Shekoofeh Azizi i

Fields of papers citing papers by Shekoofeh Azizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shekoofeh Azizi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025