Daniel Seaton
Impact in
- Computer Science Applications top 0.05%
- Online Learning and Analytics
- E-Learning and Knowledge Management
- Education top 1%
- Online and Blended Learning
- Innovative Teaching Methods
Papers in ⓘ
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- Online Learning and Analytics 29
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- Theoretical and Computational Physics 7
- Co-authors
- David E. Pritchard (15 shared papers)Andrew Ho (16 shared papers)Glenda Stump (2 shared papers)Jennifer DeBoer (2 shared papers)Lori Breslow (2 shared papers)Isaac L. Chuang (23 shared papers)Piotr Mitros (4 shared papers)Yoav Bergner (9 shared papers)
- Journals
- Communications of the ACM (2 papers)Physical Review Physics Education Research (1 paper)Computer Physics Communications (1 paper)The Journal of Chemical Physics (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesAustraliaTaiwan
In The Last Decade
Daniel Seaton
53 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Science Applications 1.5k
- Education 831
- Developmental and Educational Psychology 289
- Artificial Intelligence 456
- Information Systems 289
Countries citing papers authored by Daniel Seaton
This map shows the geographic impact of Daniel Seaton'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 Daniel Seaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Seaton more than expected).
Fields of papers citing papers by Daniel Seaton
This network shows the impact of papers produced by Daniel Seaton. 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 Daniel Seaton. The network helps show where Daniel Seaton may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Seaton, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Studying Learning in the Worldwide Classroom Research into edX's First MOOC. Hit paper breakdown → | 2013 | 692 |
| 2 | 2014 | 240 | |
| 3 | 2014 | 212 | |
| 4 | 2014 | 173 | |
| 5 | 2014 | 90 | |
| 6 | 2011 | 72 | |
| 7 | 2010 | 70 | |
| 8 | 2017 | 68 | |
| 9 | Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory | 2012 | 66 |
| 10 | Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX | 2013 | 51 |
| 11 | 2014 | 37 | |
| 12 | 2015 | 36 | |
| 13 | 2016 | 30 | |
| 14 | Bringing student backgrounds online: MOOC user demographics, site usage, and online learning. | 2013 | 29 |
| 15 | Characterizing Video Use in the Catalogue of MITx MOOCs | 2014 | 27 |
| 16 | 2017 | 25 | |
| 17 | 2008 | 20 | |
| 18 | 2017 | 18 | |
| 19 | 2008 | 17 | |
| 20 | 2014 | 15 |
About Daniel Seaton
Daniel Seaton is a scholar working on Computer Science Applications, Condensed Matter Physics, Education, Artificial Intelligence and Media Technology, having authored 54 papers that have together received 2.2k indexed citations. Recurring topics across this work include Online Learning and Analytics (29 papers), Online and Blended Learning (9 papers), Theoretical and Computational Physics (7 papers), Material Dynamics and Properties (6 papers), Innovations in Educational Methods (5 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Polymer crystallization and properties (4 papers) and Experimental Learning in Engineering (3 papers). The work is most often cited by research in Computer Science Applications (1.5k citations), Education (831 citations), Developmental and Educational Psychology (289 citations), Artificial Intelligence (456 citations) and Information Systems (289 citations). Daniel Seaton has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include David E. Pritchard, Andrew Ho, Glenda Stump, Jennifer DeBoer, Lori Breslow, Isaac L. Chuang, Piotr Mitros, Yoav Bergner, D. P. Landau and Justin Reich. Their work appears in journals such as Communications of the ACM, Physical Review Physics Education Research, Computer Physics Communications, The Journal of Chemical Physics and Physical Review Letters.
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.