Rebecca Nugent

35 papers and 470 indexed citations i.

About

Rebecca Nugent is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Rebecca Nugent has authored 35 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 5 papers in Statistics and Probability. Recurrent topics in Rebecca Nugent’s work include Intelligent Tutoring Systems and Adaptive Learning (7 papers), Bayesian Methods and Mixture Models (5 papers) and Advanced Clustering Algorithms Research (4 papers). Rebecca Nugent is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (7 papers), Bayesian Methods and Mixture Models (5 papers) and Advanced Clustering Algorithms Research (4 papers). Rebecca Nugent collaborates with scholars based in United States and United Kingdom. Rebecca Nugent's co-authors include Werner Stuetzle, Kenneth Nugent, Marina Meilă, Samuel Ventura, Nema Dean, Erica R.H. Fuchs, Helen Wang, Cihan Çevik, John H. Van Drie and Larry Wasserman and has published in prestigious journals such as The American Journal of Medicine, Research Policy and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Rebecca Nugent i

Fields of papers citing papers by Rebecca Nugent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rebecca Nugent

Since Specialization
Citations

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