Ari Seff

10 papers and 895 indexed citations i.

About

Ari Seff is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ari Seff has authored 10 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ari Seff’s work include AI in cancer detection (5 papers), COVID-19 diagnosis using AI (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Ari Seff is often cited by papers focused on AI in cancer detection (5 papers), COVID-19 diagnosis using AI (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Ari Seff collaborates with scholars based in United States. Ari Seff's co-authors include Ronald M. Summers, Le Lü, Holger R. Roth, Kevin M. Cherry, Lauren Kim, Jianhua Yao, Jiamin Liu, Evrim Türkbey, Shijun Wang and Joanne Hoffman and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science and Journal of Digital Imaging.

In The Last Decade

Co-authorship network of co-authors of Ari Seff i

Fields of papers citing papers by Ari Seff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ari Seff

Since Specialization
Citations

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