Megan Wiedbusch
- Developmental and Educational Psychology top 10%
- Computer Science Applications top 5%
- Artificial Intelligence
- Education top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Roger AzevedoDaryn A. DeverElizabeth B. CloudeMichelle TaubMelissa DuffyGlenn GunzelmannFrançois BouchetFranz Wortha
- Topics
- Innovative Teaching and Learning Methods (12 papers)Online Learning and Analytics (6 papers)Intelligent Tutoring Systems and Adaptive Learning (6 papers)
- Partner nations
- United StatesFinlandAustralia
In The Last Decade
Megan Wiedbusch
15 papers receiving 260 citations
Peers
Comparison fields: 5 of 55
- Developmental and Educational Psychology 135
- Computer Science Applications 102
- Artificial Intelligence 73
- Education 63
- Experimental and Cognitive Psychology 48
Countries citing papers authored by Megan Wiedbusch
This map shows the geographic impact of Megan Wiedbusch'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 Megan Wiedbusch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan Wiedbusch more than expected).
Fields of papers citing papers by Megan Wiedbusch
This network shows the impact of papers produced by Megan Wiedbusch. 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 Megan Wiedbusch. The network helps show where Megan Wiedbusch may publish in the future.
Co-authorship network of co-authors of Megan Wiedbusch
This figure shows the co-authorship network connecting the top 25 collaborators of Megan Wiedbusch. A scholar is included among the top collaborators of Megan Wiedbusch 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 Megan Wiedbusch. Megan Wiedbusch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 86 | |
| 11 | 14 | |
| 12 | 23 | |
| 13 | 17 | |
| 14 | 13 | |
| 15 | 8 | |
| 16 | 33 | |
| 17 | 11 |
About Megan Wiedbusch
Megan Wiedbusch is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 17 papers that have together received 263 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (12 papers), Online Learning and Analytics (6 papers) and Intelligent Tutoring Systems and Adaptive Learning (6 papers). The work is most often cited by research in Computer Science Applications (102 citations), Developmental and Educational Psychology (135 citations) and Health Informatics (9 citations). Megan Wiedbusch has collaborated with scholars based in United States, Finland and Australia. Frequent co-authors include Roger Azevedo, Daryn A. Dever, Elizabeth B. Cloude, Michelle Taub, Melissa Duffy, Glenn Gunzelmann, François Bouchet, Franz Wortha, Jason M. Harley and Gregory Trevors. Their work appears in journals such as Frontiers in Psychology, British Journal of Educational Technology and Discourse Processes.
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.