Dan Davis
- Computer Science Applications top 0.5%
- Online Learning and Analytics 18
- E-Learning and Knowledge Management 5
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- Innovative Teaching and Learning Methods 5
- Education top 2%
- Online and Blended Learning 7
- Information Systems top 5%
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- Intelligent Tutoring Systems and Adaptive Learning 10
- Data Stream Mining Techniques 2
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- Simulation Techniques and Applications 4
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- Distributed and Parallel Computing Systems 3
- Co-authors
- Claudia HauffGuanliang ChenTim van der ZeeFred PaasJacqueline WongMartine BaarsGeert‐Jan HoubenIoana Jivet
- Journals
- Journal of Learning Analytics (1 paper)International Journal of Human-Computer Interaction (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)
- Partner nations
- NetherlandsUnited StatesAustralia
In The Last Decade
Dan Davis
28 papers receiving 892 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Science Applications 508
- Developmental and Educational Psychology 365
- Education 452
- Information Systems 139
- Information Systems and Management 36
Countries citing papers authored by Dan Davis
This map shows the geographic impact of Dan Davis'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 Dan Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Davis more than expected).
Fields of papers citing papers by Dan Davis
This network shows the impact of papers produced by Dan Davis. 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 Dan Davis. The network helps show where Dan Davis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Davis, 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 | Gamification in MOOCs - General Overview | 2018 | 1 |
| 2 | 2018 | 9 | |
| 3 | 2018 | 11 | |
| 4 | 2018 | 12 | |
| 5 | Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Reviewbreakdown → | 2018 | 405 |
| 6 | 2017 | 8 | |
| 7 | 2017 | 3 | |
| 8 | 2017 | 3 | |
| 9 | Gauging MOOC Learners' Adherence to the Designed Learning Path. | 2016 | 51 |
| 10 | 2016 | 11 | |
| 11 | 2016 | 15 | |
| 12 | 2016 | 30 | |
| 13 | Encouraging Metacognition & Self-Regulation in MOOCs through Increased Learner Feedback. | 2016 | 20 |
| 14 | 2016 | 14 | |
| 15 | Multifrontal Sparse Matrix Factorization on Graphics Processing Units | 2012 | 7 |
| 16 | 2010 | 1 | |
| 17 | 2007 | 3 | |
| 18 | The Paperless Classroom: E-filing and E-valuating Students' Work in English Composition | 2002 | 6 |
| 19 | 2002 | 2 | |
| 20 | 1996 | 4 |
About Dan Davis
Dan Davis is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education, having authored 29 papers that have together received 930 indexed citations. Recurring topics across this work include Online Learning and Analytics (18 papers), Intelligent Tutoring Systems and Adaptive Learning (10 papers), Online and Blended Learning (7 papers), Innovative Teaching and Learning Methods (5 papers), E-Learning and Knowledge Management (5 papers), Simulation Techniques and Applications (4 papers), Distributed and Parallel Computing Systems (3 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Computer Science Applications (508 citations), Developmental and Educational Psychology (365 citations) and Education (452 citations). Dan Davis has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Claudia Hauff, Guanliang Chen, Tim van der Zee, Fred Paas, Jacqueline Wong, Martine Baars, Geert‐Jan Houben, Ioana Jivet, René F. Kizilcec and Judy Kay. Their work appears in journals such as Journal of Learning Analytics, International Journal of Human-Computer Interaction, Proceedings of the ACM on Human-Computer Interaction, Computers & Education and Studies In Educational Evaluation.
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.