Robert Freeman

82 papers and 1.4k indexed citations i.

About

Robert Freeman is a scholar working on Surgery, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Robert Freeman has authored 82 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 18 papers in Epidemiology and 12 papers in Artificial Intelligence. Recurrent topics in Robert Freeman’s work include Machine Learning in Healthcare (12 papers), COVID-19 Clinical Research Studies (7 papers) and Artificial Intelligence in Healthcare and Education (7 papers). Robert Freeman is often cited by papers focused on Machine Learning in Healthcare (12 papers), COVID-19 Clinical Research Studies (7 papers) and Artificial Intelligence in Healthcare and Education (7 papers). Robert Freeman collaborates with scholars based in United States, Israel and United Kingdom. Robert Freeman's co-authors include David L. Reich, Matthew A. Levin, Eyal Klang, Daniel J. Donoghue, Shelly Soffer, Gassan Kassim, Prem Timsina, Arash Kia, Madhu Mazumdar and Himanshu Joshi and has published in prestigious journals such as Nature Medicine, The Journal of Cell Biology and Annals of Internal Medicine.

In The Last Decade

Co-authorship network of co-authors of Robert Freeman i

Fields of papers citing papers by Robert Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Robert Freeman

Since Specialization
Citations

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