Rina Foygel Barber

58 papers and 1.5k indexed citations i.

About

Rina Foygel Barber is a scholar working on Statistics and Probability, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rina Foygel Barber has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rina Foygel Barber’s work include Statistical Methods and Inference (28 papers), Statistical Methods in Clinical Trials (9 papers) and Statistical Methods and Bayesian Inference (9 papers). Rina Foygel Barber is often cited by papers focused on Statistical Methods and Inference (28 papers), Statistical Methods in Clinical Trials (9 papers) and Statistical Methods and Bayesian Inference (9 papers). Rina Foygel Barber collaborates with scholars based in United States, United Kingdom and Slovakia. Rina Foygel Barber's co-authors include Emmanuel J. Candès, Aaditya Ramdas, Ryan J. Tibshirani, Emil Y. Sidky, Taly Gilat Schmidt, Mathias Drton, Richard J. Samworth, Xiaochuan Pan, Adam Tomášových and Susan M. Kidwell and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Geology.

In The Last Decade

Co-authorship network of co-authors of Rina Foygel Barber i

Fields of papers citing papers by Rina Foygel Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rina Foygel Barber. 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 Rina Foygel Barber. The network helps show where Rina Foygel Barber may publish in the future.

Countries citing papers authored by Rina Foygel Barber

Since Specialization
Citations

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