Ross D. Shachter

50 papers and 2.0k indexed citations i.

About

Ross D. Shachter is a scholar working on Artificial Intelligence, Surgery and Oncology. According to data from OpenAlex, Ross D. Shachter has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 8 papers in Surgery and 7 papers in Oncology. Recurrent topics in Ross D. Shachter’s work include Bayesian Modeling and Causal Inference (17 papers), AI in cancer detection (6 papers) and Helicobacter pylori-related gastroenterology studies (5 papers). Ross D. Shachter is often cited by papers focused on Bayesian Modeling and Causal Inference (17 papers), AI in cancer detection (6 papers) and Helicobacter pylori-related gastroenterology studies (5 papers). Ross D. Shachter collaborates with scholars based in United States, South Korea and Canada. Ross D. Shachter's co-authors include C. Robert Kenley, David M. Eddy, Vic Hasselblad, Douglas K Owens, David Heckerman, Daniel L. Rubin, Elizabeth S. Burnside, Mark A. Peot, Marcia F.T. Rupnow and Julie Parsonnet and has published in prestigious journals such as Nature Communications, Gastroenterology and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Ross D. Shachter i

Fields of papers citing papers by Ross D. Shachter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross D. Shachter. 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 Ross D. Shachter. The network helps show where Ross D. Shachter may publish in the future.

Countries citing papers authored by Ross D. Shachter

Since Specialization
Citations

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