Richard Ambrosino

6 papers and 385 indexed citations i.

About

Richard Ambrosino is a scholar working on Artificial Intelligence, Health Information Management and Surgery. According to data from OpenAlex, Richard Ambrosino has authored 6 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Health Information Management and 1 paper in Surgery. Recurrent topics in Richard Ambrosino’s work include Machine Learning in Healthcare (3 papers), Artificial Intelligence in Healthcare (1 paper) and Acute Kidney Injury Research (1 paper). Richard Ambrosino is often cited by papers focused on Machine Learning in Healthcare (3 papers), Artificial Intelligence in Healthcare (1 paper) and Acute Kidney Injury Research (1 paper). Richard Ambrosino collaborates with scholars based in United States, Germany and Belgium. Richard Ambrosino's co-authors include John A. Kellum, Dilhari R. DeAlmeida, Mohammed Al‐Jaghbeer, Andrew Bilderback, Barbara H. Hanusa, Bruce G. Buchanan, Richard A. Caruana, Janine E. Janosky, Geoffrey J. Gordon and John M. Aronis and has published in prestigious journals such as Journal of the American Society of Nephrology, Academic Medicine and Artificial Intelligence in Medicine.

In The Last Decade

Co-authorship network of co-authors of Richard Ambrosino i

Fields of papers citing papers by Richard Ambrosino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Richard Ambrosino

Since Specialization
Citations

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