Emma Brunskill
Impact in
- Computer Science Applications top 0.5%
- Online Learning and Analytics
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Reinforcement Learning in Robotics 36
- Intelligent Tutoring Systems and Adaptive Learning 33
- Machine Learning and Algorithms 20
- AI-based Problem Solving and Planning 10
- Topic Modeling 9
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- Online Learning and Analytics 23
- Co-authors
- Colin Mathers (2 shared papers)Seth Flaxman (1 shared paper)Mariel M. Finucane (1 shared paper)Gretchen A Stevens (1 shared paper)Maya Mascarenhas (2 shared papers)Shayan Doroudi (10 shared papers)Nicholas Roy (3 shared papers)William Thies (2 shared papers)
- Journals
- Journal of the American Statistical Association (2 papers)Proceedings of the National Academy of Sciences (2 papers)European Journal of Public Health (1 paper)Science Advances (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Emma Brunskill
108 papers receiving 2.7k citations
Emma Brunskill's Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Science Applications 671
- Sensory Systems 194
- Artificial Intelligence 1.3k
- Health Informatics 41
- Developmental and Educational Psychology 321
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-authors
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
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global and regional hearing impairment prevalence: an analysis of 42 studies in 29 countries Hit paper breakdown → | 2011 | 544 |
| 2 | 2011 | 224 | |
| 3 | 2019 | 124 | |
| 4 | 2020 | 118 | |
| 5 | 2013 | 111 | |
| 6 | 2019 | 99 | |
| 7 | 2007 | 88 | |
| 8 | The Impact on Individualizing Student Models on Necessary Practice Opportunities. | 2012 | 84 |
| 9 | 2016 | 67 | |
| 10 | 2014 | 66 | |
| 11 | 2011 | 65 | |
| 12 | 2019 | 60 | |
| 13 | 2009 | 54 | |
| 14 | 2010 | 51 | |
| 15 | 2015 | 51 | |
| 16 | 2011 | 51 | |
| 17 | 2021 | 51 | |
| 18 | 2019 | 47 | |
| 19 | PAC-inspired Option Discovery in Lifelong Reinforcement Learning | 2014 | 40 |
| 20 | 2006 | 38 |
About Emma Brunskill
Emma Brunskill is a scholar working on Artificial Intelligence, Computer Science Applications, Management Science and Operations Research, Developmental and Educational Psychology and Information Systems, having authored 115 papers that have together received 2.9k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (36 papers), Intelligent Tutoring Systems and Adaptive Learning (33 papers), Online Learning and Analytics (23 papers), Machine Learning and Algorithms (20 papers), Advanced Bandit Algorithms Research (20 papers), AI-based Problem Solving and Planning (10 papers), Topic Modeling (9 papers) and Innovative Teaching and Learning Methods (7 papers). The work is most often cited by research in Computer Science Applications (671 citations), Sensory Systems (194 citations), Artificial Intelligence (1.3k citations), Health Informatics (41 citations) and Developmental and Educational Psychology (321 citations). Emma Brunskill has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Colin Mathers, Seth Flaxman, Mariel M. Finucane, Gretchen A Stevens, Maya Mascarenhas, Shayan Doroudi, Nicholas Roy, William Thies, Nicholas Roy and Zoran Popović. Their work appears in journals such as Journal of the American Statistical Association, Proceedings of the National Academy of Sciences, European Journal of Public Health, Science Advances and Journal of Machine Learning Research.
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.