Andrew E. Waters
Impact in
-
- Online Learning and Analytics
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 6
- Machine Learning and Data Classification 5
- Topic Modeling 4
- Machine Learning and Algorithms 3
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- Online Learning and Analytics 8
- Co-authors
- Richard G. Baraniuk (15 shared papers)Andrew Lan (9 shared papers)Lance B. Price (4 shared papers)Aswin C. Sankaranarayanan (1 shared paper)Paul Keim (2 shared papers)David M. Engelthaler (2 shared papers)Christoph Studer (7 shared papers)Phillip J. Grimaldi (5 shared papers)
- Journals
- PLoS ONE (2 papers)ELT Journal (1 paper)Journal of Bacteriology (1 paper)IEEE Transactions on Learning Technologies (1 paper)mBio (1 paper)
- Partner nations
- United StatesDenmarkSwitzerland
In The Last Decade
Andrew E. Waters
27 papers receiving 958 citations
Peers
Comparison fields: 5 of 126
- Computer Science Applications 178
- Endocrinology 147
- Computational Mathematics 9
- Infectious Diseases 199
- Clinical Biochemistry 62
Countries citing papers authored by Andrew E. Waters
This map shows the geographic impact of Andrew E. Waters'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 Andrew E. Waters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew E. Waters more than expected).
Fields of papers citing papers by Andrew E. Waters
This network shows the impact of papers produced by Andrew E. Waters. 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 Andrew E. Waters. The network helps show where Andrew E. Waters may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew E. Waters, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 252 | |
| 2 | 2011 | 237 | |
| 3 | SpaRCS: Recovering low-rank and sparse matrices from compressive measurements | 2011 | 120 |
| 4 | 2014 | 93 | |
| 5 | 2019 | 57 | |
| 6 | 2018 | 53 | |
| 7 | 2015 | 48 | |
| 8 | 2001 | 35 | |
| 9 | 2012 | 26 | |
| 10 | 2015 | 19 | |
| 11 | 2012 | 15 | |
| 12 | 1997 | 10 | |
| 13 | 2013 | 6 | |
| 14 | A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading. | 2019 | 6 |
| 15 | 2013 | 5 | |
| 16 | 2010 | 5 | |
| 17 | Inferring Student Comprehension from Highlighting Patterns in Digital Textbooks: An Exploration in an Authentic Learning Platform. | 2020 | 5 |
| 18 | 2020 | 4 | |
| 19 | 2013 | 4 | |
| 20 | 2014 | 3 |
About Andrew E. Waters
Andrew E. Waters is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Education and Infectious Diseases, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Online Learning and Analytics (8 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers), Machine Learning and Data Classification (5 papers), Topic Modeling (4 papers), Machine Learning and Algorithms (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Expert finding and Q&A systems (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Computer Science Applications (178 citations), Endocrinology (147 citations), Computational Mathematics (9 citations), Infectious Diseases (199 citations) and Clinical Biochemistry (62 citations). Andrew E. Waters has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Richard G. Baraniuk, Andrew Lan, Lance B. Price, Aswin C. Sankaranarayanan, Paul Keim, David M. Engelthaler, Christoph Studer, Phillip J. Grimaldi, Elizabeth M. Driebe and Jeffrey T. Foster. Their work appears in journals such as PLoS ONE, ELT Journal, Journal of Bacteriology, IEEE Transactions on Learning Technologies and mBio.
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.