Andrew E. Waters
Impact in
-
- Online Learning and Analytics
- Open Education and E-Learning
Papers in
-
- Online Learning and Analytics 9
-
- Intelligent Tutoring Systems and Adaptive Learning 4
- Topic Modeling 2
- Co-authors
- Richard G. Baraniuk (11 shared papers)Andrew Lan (5 shared papers)Aswin C. Sankaranarayanan (1 shared paper)Christoph Studer (6 shared papers)Phillip J. Grimaldi (2 shared papers)Debshila Basu Mallick (1 shared paper)Zichao Wang (1 shared paper)Weili Nie (1 shared paper)
- Journals
- IEEE Journal of Selected Topics in Signal Processing (1 paper)International Journal of Nursing Education Scholarship (1 paper)PLoS ONE (1 paper)IEEE Transactions on Learning Technologies (1 paper)Journal of Statistical Planning and Inference (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Andrew E. Waters
18 papers receiving 431 citations
Peers
Comparison fields: 5 of 47
- Computer Science Applications 153
- Computational Mathematics 6
- Computational Mechanics 101
- Artificial Intelligence 135
- Information Systems 86
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 11 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
| # | Work | ||
|---|---|---|---|
| 1 | SpaRCS: Recovering low-rank and sparse matrices from compressive measurements | 2011 | 128 |
| 2 | 2014 | 98 | |
| 3 | 2018 | 61 | |
| 4 | 2019 | 59 | |
| 5 | 2015 | 47 | |
| 6 | 2015 | 19 | |
| 7 | 2010 | 6 | |
| 8 | 2013 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2013 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2014 | 3 | |
| 13 | 2014 | 3 | |
| 14 | 2017 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2020 | 3 | |
| 17 | Efficacy of peer review network structures: The effects of reciprocity and clustering | 2016 | 2 |
| 18 | 2012 | 1 |
About Andrew E. Waters
Andrew E. Waters is a scholar working on Computer Science Applications, Artificial Intelligence, Safety Research, Management Science and Operations Research and Education, having authored 18 papers that have together received 456 indexed citations. Recurring topics across this work include Online Learning and Analytics (9 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Topic Modeling (2 papers), Academic integrity and plagiarism (2 papers), Psychometric Methodologies and Testing (2 papers), Student Assessment and Feedback (2 papers), Expert finding and Q&A systems (1 paper) and Innovations in Medical Education (1 paper). The work is most often cited by research in Computer Science Applications (153 citations), Computational Mathematics (6 citations), Computational Mechanics (101 citations), Artificial Intelligence (135 citations) and Information Systems (86 citations). Andrew E. Waters has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Richard G. Baraniuk, Andrew Lan, Aswin C. Sankaranarayanan, Christoph Studer, Phillip J. Grimaldi, Debshila Basu Mallick, Zichao Wang, Weili Nie, Volkan Cevher and Marina Vannucci. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, International Journal of Nursing Education Scholarship, PLoS ONE, IEEE Transactions on Learning Technologies and Journal of Statistical Planning and Inference.
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.