Amit Sethi

68 papers and 1.6k indexed citations i.

About

Amit Sethi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Amit Sethi has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Amit Sethi’s work include AI in cancer detection (25 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Digital Imaging for Blood Diseases (9 papers). Amit Sethi is often cited by papers focused on AI in cancer detection (25 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Digital Imaging for Blood Diseases (9 papers). Amit Sethi collaborates with scholars based in India, United States and United Kingdom. Amit Sethi's co-authors include Neeraj Kumar, Abhishek Vahadane, Ruchika Verma, Nassir Navab, Shadi Albarqouni, Maximilian Baust, Anna Melissa Schlitter, Tingying Peng, Iréne Esposito and Katja Steiger and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Cancer Research and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Amit Sethi i

Fields of papers citing papers by Amit Sethi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amit Sethi

Since Specialization
Citations

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