Deepta Rajan

15 papers and 347 indexed citations i.

About

Deepta Rajan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Deepta Rajan has authored 15 papers receiving a total of 347 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 Cardiology and Cardiovascular Medicine. Recurrent topics in Deepta Rajan’s work include Machine Learning in Healthcare (6 papers), COVID-19 diagnosis using AI (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Deepta Rajan is often cited by papers focused on Machine Learning in Healthcare (6 papers), COVID-19 diagnosis using AI (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Deepta Rajan collaborates with scholars based in United States, Israel and United Kingdom. Deepta Rajan's co-authors include Jayaraman J. Thiagarajan, Andreas Spanias, Huan Song, David Beymer, Girish Narayan, Dorith Shaham, Pallav L. Shah, Jan Lukas Robertus, Michal Guindy and Pavan Turaga and has published in prestigious journals such as Scientific Reports, Patterns and International Journal of Artificial Intelligence Tools.

In The Last Decade

Co-authorship network of co-authors of Deepta Rajan i

Fields of papers citing papers by Deepta Rajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Deepta Rajan

Since Specialization
Citations

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