Rajiv Nadukuru

5 papers and 90 indexed citations i.

About

Rajiv Nadukuru is a scholar working on Artificial Intelligence, Epidemiology and Health Information Management. According to data from OpenAlex, Rajiv Nadukuru has authored 5 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Epidemiology and 2 papers in Health Information Management. Recurrent topics in Rajiv Nadukuru’s work include Artificial Intelligence in Healthcare (2 papers), Machine Learning in Healthcare (2 papers) and Diabetes Treatment and Management (1 paper). Rajiv Nadukuru is often cited by papers focused on Artificial Intelligence in Healthcare (2 papers), Machine Learning in Healthcare (2 papers) and Diabetes Treatment and Management (1 paper). Rajiv Nadukuru collaborates with scholars based in United States and Germany. Rajiv Nadukuru's co-authors include Erwin P. Böttinger, Girish N. Nadkarni, Omri Gottesman, Vaneet Lotay, Stephen B. Ellis, Samira Farouk, George Hripcsak, Herbert Chase, Peggy Peissig and Richard L. Berg and has published in prestigious journals such as Journal of the American College of Cardiology, Clinical Pharmacology & Therapeutics and Journal of Biomedical Informatics.

In The Last Decade

Co-authorship network of co-authors of Rajiv Nadukuru i

Fields of papers citing papers by Rajiv Nadukuru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rajiv Nadukuru

Since Specialization
Citations

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