Sagar Kulkarni

18 papers and 272 indexed citations i.

About

Sagar Kulkarni is a scholar working on Surgery, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sagar Kulkarni has authored 18 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sagar Kulkarni’s work include Cardiac Imaging and Diagnostics (2 papers), COVID-19 and healthcare impacts (2 papers) and AI in cancer detection (2 papers). Sagar Kulkarni is often cited by papers focused on Cardiac Imaging and Diagnostics (2 papers), COVID-19 and healthcare impacts (2 papers) and AI in cancer detection (2 papers). Sagar Kulkarni collaborates with scholars based in United Kingdom, United States and India. Sagar Kulkarni's co-authors include Saurabh Kumar Jha, John A. Rumberger, Daniel Burke, Sharvari Govilkar, Sagar S. Patel, Wilson Y. Szeto, Dinesh Khullar, Ramandeep Singh, PS Priyamvada and Jeffrey D. Robinson and has published in prestigious journals such as American Journal of Roentgenology, JAMA Internal Medicine and Clinical Radiology.

In The Last Decade

Co-authorship network of co-authors of Sagar Kulkarni i

Fields of papers citing papers by Sagar Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sagar Kulkarni

Since Specialization
Citations

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