Roy T. Sabo

26 papers and 296 indexed citations i.

About

Roy T. Sabo is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Roy T. Sabo has authored 26 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 6 papers in Management Science and Operations Research and 5 papers in Artificial Intelligence. Recurrent topics in Roy T. Sabo’s work include Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Roy T. Sabo is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (5 papers). Roy T. Sabo collaborates with scholars based in United States, Jordan and Germany. Roy T. Sabo's co-authors include Alex H. Krist, Steven H. Woolf, Camille J. Hochheimer, N. Rao Chaganty, John Cyrus, Teresa Day, Ghalib Bello, Khalid Kheirallah, Jonathan Cohn and Daniel R. Longo and has published in prestigious journals such as Statistics in Medicine, Journal of Medical Internet Research and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Roy T. Sabo i

Fields of papers citing papers by Roy T. Sabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy T. Sabo. 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 Roy T. Sabo. The network helps show where Roy T. Sabo may publish in the future.

Countries citing papers authored by Roy T. Sabo

Since Specialization
Citations

This map shows the geographic impact of Roy T. Sabo'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 Roy T. Sabo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy T. Sabo 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025