Debdoot Sheet

60 papers and 1.2k indexed citations i.

About

Debdoot Sheet is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Debdoot Sheet has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Computer Vision and Pattern Recognition and 20 papers in Artificial Intelligence. Recurrent topics in Debdoot Sheet’s work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Photoacoustic and Ultrasonic Imaging (9 papers). Debdoot Sheet is often cited by papers focused on AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Photoacoustic and Ultrasonic Imaging (9 papers). Debdoot Sheet collaborates with scholars based in India, Germany and United States. Debdoot Sheet's co-authors include Abhijit Guha Roy, Sailesh Conjeti, Jyotirmoy Chatterjee, Nassir Navab, Amin Katouzian, Sri Phani Krishna Karri, Christian Wachinger, Manjunatha Mahadevappa, Hrushikesh Garud and Amit Suveer and has published in prestigious journals such as Scientific Reports, Journal of Ethnopharmacology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Debdoot Sheet i

Fields of papers citing papers by Debdoot Sheet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Debdoot Sheet

Since Specialization
Citations

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