Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review
2018405 citationsJacqueline Wong, Martine Baars et al.International Journal of Human-Computer Interactionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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 of co-authors of Dan Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Davis.
A scholar is included among the top collaborators of Dan Davis based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Dan Davis. Dan Davis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Khalil, Mohammad, Dan Davis, & Jacqueline Wong. (2018). Gamification in MOOCs - General Overview. Research Repository (Delft University of Technology).1 indexed citations
2.
Davis, Dan, René F. Kizilcec, Claudia Hauff, & Geert‐Jan Houben. (2018). The half-life of MOOC knowledge. Research Repository (Delft University of Technology). 1–10.9 indexed citations
3.
Zee, Tim van der, Dan Davis, Nadira Saab, et al.. (2018). Evaluating retrieval practice in a MOOC. Research Publications (Maastricht University). 216–225.11 indexed citations
4.
Davis, Dan, Daniel Seaton, Claudia Hauff, & Geert‐Jan Houben. (2018). Toward large-scale learning design. Research Repository (Delft University of Technology). 1–10.12 indexed citations
Wong, Jacqueline, et al.. (2018). Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review. International Journal of Human-Computer Interaction. 35(4-5). 356–373.405 indexed citations breakdown →
Chen, Guanliang, Dan Davis, Markus Krause, Claudia Hauff, & Geert‐Jan Houben. (2017). Buying time. Research Repository (Delft University of Technology). 578–579.3 indexed citations
11.
Davis, Dan, Guanliang Chen, Claudia Hauff, & Geert‐Jan Houben. (2016). Gauging MOOC Learners' Adherence to the Designed Learning Path.. Educational Data Mining. 54–61.51 indexed citations
Davis, Dan. (2002). The Paperless Classroom: E-filing and E-valuating Students' Work in English Composition. Teaching English in the Two-Year College. 30(2).6 indexed citations
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.