Pranav Rajpurkar

60 papers and 9.0k indexed citations i.

About

Pranav Rajpurkar is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Pranav Rajpurkar has authored 60 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Health Informatics and 23 papers in Artificial Intelligence. Recurrent topics in Pranav Rajpurkar’s work include Artificial Intelligence in Healthcare and Education (25 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and COVID-19 diagnosis using AI (14 papers). Pranav Rajpurkar is often cited by papers focused on Artificial Intelligence in Healthcare and Education (25 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and COVID-19 diagnosis using AI (14 papers). Pranav Rajpurkar collaborates with scholars based in United States, Canada and Vietnam. Pranav Rajpurkar's co-authors include Percy Liang, Jian Zhang, Eric J. Topol, Andrew Y. Ng, Oishi Banerjee, Robin Jia, Emma Chen, Masoumeh Haghpanahi, Mintu P. Turakhia and Awni Hannun and has published in prestigious journals such as Nature, Cell and New England Journal of Medicine.

In The Last Decade

Co-authorship network of co-authors of Pranav Rajpurkar i

Fields of papers citing papers by Pranav Rajpurkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pranav Rajpurkar

Since Specialization
Citations

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