Rina Foygel

9 papers and 537 indexed citations i.

About

Rina Foygel is a scholar working on Artificial Intelligence, Computational Mechanics and Statistics and Probability. According to data from OpenAlex, Rina Foygel has authored 9 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computational Mechanics and 3 papers in Statistics and Probability. Recurrent topics in Rina Foygel’s work include Sparse and Compressive Sensing Techniques (4 papers), Statistical Methods and Inference (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Rina Foygel is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Statistical Methods and Inference (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Rina Foygel collaborates with scholars based in United States, Canada and The Netherlands. Rina Foygel's co-authors include Mathias Drton, Lester Mackey, Megan Blossom, Mélanie Söderström, James L. Morgan, Nathan Srebro, Seth Sullivant, Jan Draisma, John Lafferty and Ruslan Salakhutdinov and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Journal of Child Language.

In The Last Decade

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

Fields of papers citing papers by Rina Foygel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rina Foygel

Since Specialization
Citations

This map shows the geographic impact of Rina Foygel'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 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 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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