This map shows the geographic impact of Michael Eagle'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 Michael Eagle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Eagle more than expected).
This network shows the impact of papers produced by Michael Eagle. 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 Michael Eagle. The network helps show where Michael Eagle may publish in the future.
Co-authorship network of co-authors of Michael Eagle
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Eagle.
A scholar is included among the top collaborators of Michael Eagle 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 Michael Eagle. Michael Eagle 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.
Eagle, Michael, Albert T. Corbett, John Stamper, & Bruce M. McLaren. (2018). Predicting Individualized Learner Models across Tutor Lessons.. Educational Data Mining.2 indexed citations
2.
Eagle, Michael, et al.. (2018). Peer Tutor Matching for Introductory Programming: Data-Driven Methods to Enable New Opportunities for Help.. ICLS.2 indexed citations
3.
Eagle, Michael, et al.. (2018). Predictive Student Modeling for Interventions in Online Classes.. Educational Data Mining.3 indexed citations
4.
Eagle, Michael, et al.. (2017). Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help.. Educational Data Mining.2 indexed citations
5.
Hicks, Andrew A., Zhongxiu Liu, Michael Eagle, & Tiffany Barnes. (2016). Measuring Gameplay Affordances of User-Generated Content in an Educational Game.. Educational Data Mining. 78–85.6 indexed citations
6.
Rowe, Elizabeth, Jodi Asbell‐Clarke, Michael Eagle, et al.. (2016). Validating Game-based Measures of Implicit Science Learning.. Educational Data Mining. 490–495.2 indexed citations
7.
Eagle, Michael, et al.. (2016). Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data.. Educational Data Mining. 583–584.2 indexed citations
Brown, Rebecca, Collin Lynch, Michael Eagle, et al.. (2015). Good Communities and Bad Communities: Does Membership Affect Performance?. Educational Data Mining. 612–613.5 indexed citations
10.
Eagle, Michael, Andrew A. Hicks, & Tiffany Barnes. (2015). Interaction Network Estimation: Predicting Problem-Solving Diversity in Interactive Environments.. Educational Data Mining. 342–349.1 indexed citations
11.
Brown, Rebecca, Collin Lynch, Yuan Wang, et al.. (2015). Communities of performance & communities of preference. Educational Data Mining. 1446.12 indexed citations
12.
Eagle, Michael & Tiffany Barnes. (2014). Data-Driven Feedback Beyond Next-Step Hints. Educational Data Mining. 444–446.1 indexed citations
13.
Eagle, Michael & Tiffany Barnes. (2014). Exploring Differences in Problem Solving with Data-Driven Approach Maps. Educational Data Mining. 76–83.15 indexed citations
14.
Eagle, Michael, et al.. (2013). Exploring player behavior with visual analytics.. Foundations of Digital Games. 380–383.4 indexed citations
15.
Johnson, Matthew W., Michael Eagle, & Tiffany Barnes. (2013). InVis: An Interactive Visualization Tool for Exploring Interaction Networks.. Educational Data Mining. 82–89.11 indexed citations
16.
Eagle, Michael & Tiffany Barnes. (2013). Evaluation of Automatically Generated Hint Feedback.. Educational Data Mining. 372–374.5 indexed citations
17.
Johnson, Matthew W., Michael Eagle, John Stamper, & Tiffany Barnes. (2013). An Algorithm for Reducing the Complexity of Interaction Networks.. Educational Data Mining. 248–251.4 indexed citations
18.
Eagle, Michael, Matthew W. Johnson, & Tiffany Barnes. (2012). Interaction Networks: Generating High Level Hints Based on Network Community Clusterings. Educational Data Mining. 164–167.25 indexed citations
19.
Johnson, Matthew W., Michael Eagle, Leena Dennis Joseph, & Tiffany Barnes. (2011). The EDM Vis Tool. Educational Data Mining. 349–350.7 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.