Sanmi Koyejo

11 papers and 82 indexed citations i.

About

Sanmi Koyejo is a scholar working on Artificial Intelligence, Oncology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sanmi Koyejo has authored 11 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Oncology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sanmi Koyejo’s work include COVID-19 diagnosis using AI (2 papers), COVID-19 and healthcare impacts (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Sanmi Koyejo is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), COVID-19 and healthcare impacts (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Sanmi Koyejo collaborates with scholars based in United States and United Kingdom. Sanmi Koyejo's co-authors include Ayis Pyrros, Alexander G. Schwing, Zhizhen Zhao, Yuan-Ting Hu, Ruoyu Sun, David Forsyth, Rajiv Khanna, Joydeep Ghosh, Been Kim and Liqian Ma and has published in prestigious journals such as Communications of the ACM, Academic Radiology and Journal of Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Sanmi Koyejo i

Fields of papers citing papers by Sanmi Koyejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sanmi Koyejo

Since Specialization
Citations

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