Emma Brunskill
Impact in
- Computer Science Applications top 0.5%
- Online Learning and Analytics
- Sensory Systems top 1%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
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- Online Learning and Analytics 18
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- Reinforcement Learning in Robotics 31
- Intelligent Tutoring Systems and Adaptive Learning 28
- Machine Learning and Algorithms 16
- AI-based Problem Solving and Planning 10
- Topic Modeling 9
- Co-authors
- Maya MascarenhasMariel M. FinucaneSeth FlaxmanColin MathersGretchen A StevensShayan DoroudiNicholas RoyWilliam Thies
- Journals
- Journal of the American Statistical Association (2 papers)European Journal of Public Health (1 paper)Management Science (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)Machine Learning (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Emma Brunskill
96 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Science Applications 538
- Sensory Systems 281
- Artificial Intelligence 1.0k
- Speech and Hearing 199
- Health Informatics 32
Countries citing papers authored by Emma Brunskill
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).
Fields of papers citing papers by Emma Brunskill
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.
Co-authorship network
The 25 scholars most cited alongside Emma Brunskill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration | 2020 | 6 |
| 7 | Fake It Till You Make It: Learning-Compatible Performance Support. | 2019 | 3 |
| 8 | Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure | 2018 | 8 |
| 9 | Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning | 2017 | 20 |
| 10 | Questimator: generating knowledge assessments for arbitrary topics | 2016 | 17 |
| 11 | 2016 | 3 | |
| 12 | Sequence Matters but How Exactly? A Method for Evaluating Activity Sequences from Data. | 2016 | 8 |
| 13 | Latent contextual bandits and their application to personalized recommendations for new users | 2016 | 1 |
| 14 | Sample complexity of episodic fixed-horizon reinforcement learning | 2015 | 9 |
| 15 | From Predictive Models to Instructional Policies. | 2015 | 21 |
| 16 | Predicting player moves in an educational game: A hybrid approach | 2013 | 12 |
| 17 | Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System. | 2011 | 11 |
| 18 | Estimating Prerequisite Structure From Noisy Data. | 2011 | 14 |
| 19 | Learning to Identify Locally Actionable Health Anomalies | 2010 | 1 |
| 20 | Routing for Rural Health: Optimizing Community Health Worker Visit Schedules | 2010 | 8 |
About Emma Brunskill
Emma Brunskill is a scholar working on Computer Science Applications, Artificial Intelligence, Management Science and Operations Research, Computational Mathematics and General Decision Sciences, having authored 100 papers that have together received 2.4k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (31 papers), Intelligent Tutoring Systems and Adaptive Learning (28 papers), Online Learning and Analytics (18 papers), Advanced Bandit Algorithms Research (17 papers), Machine Learning and Algorithms (16 papers), AI-based Problem Solving and Planning (10 papers), Topic Modeling (9 papers) and Advanced Causal Inference Techniques (6 papers). The work is most often cited by research in Computer Science Applications (538 citations), Sensory Systems (281 citations), Artificial Intelligence (1.0k citations), Speech and Hearing (199 citations) and Health Informatics (32 citations). Emma Brunskill has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Maya Mascarenhas, Mariel M. Finucane, Seth Flaxman, Colin Mathers, Gretchen A Stevens, Shayan Doroudi, Nicholas Roy, William Thies, Nicholas Roy and Zoran Popović. Their work appears in journals such as Journal of the American Statistical Association, European Journal of Public Health, Management Science, Proceedings of the Royal Society B Biological Sciences and Machine Learning.
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.