Emma Brunskill

84 papers and 1.6k indexed citations i.

About

Emma Brunskill is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Science Applications. According to data from OpenAlex, Emma Brunskill has authored 84 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Artificial Intelligence, 23 papers in Management Science and Operations Research and 13 papers in Computer Science Applications. Recurrent topics in Emma Brunskill’s work include Reinforcement Learning in Robotics (36 papers), Machine Learning and Algorithms (22 papers) and Advanced Bandit Algorithms Research (19 papers). Emma Brunskill is often cited by papers focused on Reinforcement Learning in Robotics (36 papers), Machine Learning and Algorithms (22 papers) and Advanced Bandit Algorithms Research (19 papers). Emma Brunskill collaborates with scholars based in United States, Canada and United Kingdom. Emma Brunskill's co-authors include Mariel M. Finucane, Maya Mascarenhas, Colin Mathers, Seth Flaxman, Gretchen A Stevens, Nicholas Roy, William Thies, Philip S. Thomas, Christoph Dann and Thomas Kollar and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Emma Brunskill i

Fields of papers citing papers by Emma Brunskill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emma Brunskill

Since Specialization
Citations

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