Daniel Thomas Seaton
Impact in
- Computer Science Applications top 0.1%
- 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 22
- Teaching and Learning Programming 3
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- Theoretical and Computational Physics 7
- Co-authors
- David E. Pritchard (15 shared papers)Andrew Dean Ho (5 shared papers)Jennifer J. DeBoer (1 shared paper)Glenda Stump (1 shared paper)Lori Breslow (1 shared paper)Piotr Mitros (4 shared papers)Isaac L. Chuang (12 shared papers)Yoav Bergner (9 shared papers)
- Journals
- Communications of the ACM (2 papers)The Medical Journal of Australia (1 paper)International Journal of Modern Physics C (1 paper)The Journal of Chemical Physics (1 paper)Physical Review Physics Education Research (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Daniel Thomas Seaton
40 papers receiving 1.9k citations
Daniel Thomas Seaton's Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Science Applications 1.4k
- Education 771
- Developmental and Educational Psychology 301
- Artificial Intelligence 465
- Information Systems 277
Countries citing papers authored by Daniel Thomas Seaton
This map shows the geographic impact of Daniel Thomas 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 Thomas 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 Thomas Seaton more than expected).
Fields of papers citing papers by Daniel Thomas Seaton
This network shows the impact of papers produced by Daniel Thomas 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 Thomas Seaton. The network helps show where Daniel Thomas Seaton may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Thomas 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 40 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 | 771 |
| 2 | Understanding in-video dropouts and interaction peaks inonline lecture videos Hit paper breakdown → | 2014 | 306 |
| 3 | 2014 | 192 | |
| 4 | 2014 | 93 | |
| 5 | 2017 | 88 | |
| 6 | 2011 | 79 | |
| 7 | 2010 | 72 | |
| 8 | Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory | 2012 | 68 |
| 9 | Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX | 2013 | 55 |
| 10 | 2014 | 42 | |
| 11 | 2015 | 41 | |
| 12 | 2016 | 35 | |
| 13 | Characterizing Video Use in the Catalogue of MITx MOOCs | 2014 | 29 |
| 14 | 2017 | 28 | |
| 15 | 2008 | 22 | |
| 16 | 2017 | 20 | |
| 17 | 2008 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2018 | 15 | |
| 20 | 2014 | 14 |
About Daniel Thomas Seaton
Daniel Thomas Seaton is a scholar working on Computer Science Applications, Condensed Matter Physics, Artificial Intelligence, Education and Polymers and Plastics, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Online Learning and Analytics (22 papers), Online and Blended Learning (8 papers), Theoretical and Computational Physics (7 papers), Material Dynamics and Properties (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Innovations in Educational Methods (4 papers), Polymer crystallization and properties (4 papers) and Teaching and Learning Programming (3 papers). The work is most often cited by research in Computer Science Applications (1.4k citations), Education (771 citations), Developmental and Educational Psychology (301 citations), Artificial Intelligence (465 citations) and Information Systems (277 citations). Daniel Thomas Seaton has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include David E. Pritchard, Andrew Dean Ho, Jennifer J. DeBoer, Glenda Stump, Lori Breslow, Piotr Mitros, Isaac L. Chuang, Yoav Bergner, David Paul Landau and Robert Clell Miller. Their work appears in journals such as Communications of the ACM, The Medical Journal of Australia, International Journal of Modern Physics C, The Journal of Chemical Physics and Physical Review Physics Education 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.