Rasoul Sali

14 papers and 318 indexed citations i.

About

Rasoul Sali is a scholar working on Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rasoul Sali has authored 14 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rasoul Sali’s work include AI in cancer detection (8 papers), Colorectal Cancer Screening and Detection (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Rasoul Sali is often cited by papers focused on AI in cancer detection (8 papers), Colorectal Cancer Screening and Detection (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Rasoul Sali collaborates with scholars based in United States, Pakistan and Zambia. Rasoul Sali's co-authors include Iman Ramezani, Milad Dehghani, Mojtaba Khorram Niaki, Sana Syed, Donald E. Brown, Lubaina Ehsan, Hassan Shavandi, Masoumeh Sadeghi, Kamran Kowsari and Sean R. Moore and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Co-authorship network of co-authors of Rasoul Sali i

Fields of papers citing papers by Rasoul Sali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rasoul Sali

Since Specialization
Citations

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