Dawn Zimmaro
- Education top 10%
- Artificial Intelligence
- Computer Science Applications top 5%
- Developmental and Educational Psychology
- Physical and Theoretical Chemistry
- Co-authors
- Ivan A. ShibleyJohn KucseraCandace ThilleJay ParkesHoi K. SuenOlle BälterJohn C. MitchellEthan Fast
- Topics
- Online Learning and Analytics (9 papers)Intelligent Tutoring Systems and Adaptive Learning (8 papers)Innovative Teaching and Learning Methods (7 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Dawn Zimmaro
18 papers receiving 222 citations
Peers
Comparison fields: 5 of 59
- Education 130
- Artificial Intelligence 65
- Computer Science Applications 58
- Developmental and Educational Psychology 57
- Physical and Theoretical Chemistry 25
Countries citing papers authored by Dawn Zimmaro
This map shows the geographic impact of Dawn Zimmaro'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 Dawn Zimmaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawn Zimmaro more than expected).
Fields of papers citing papers by Dawn Zimmaro
This network shows the impact of papers produced by Dawn Zimmaro. 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 Dawn Zimmaro. The network helps show where Dawn Zimmaro may publish in the future.
Co-authorship network of co-authors of Dawn Zimmaro
This figure shows the co-authorship network connecting the top 25 collaborators of Dawn Zimmaro. A scholar is included among the top collaborators of Dawn Zimmaro 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 Dawn Zimmaro. Dawn Zimmaro 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 | 29 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 1 An Approach to Knowledge Component/Skill Modeling in Online Courses | 2 |
| 14 | 55 | |
| 15 | 1 | |
| 16 | 67 | |
| 17 | 7 | |
| 18 | Structural Knowledge as a Pre-requisite to Valid Performance Assessment Scores. | 4 |
| 19 | 9 |
About Dawn Zimmaro
Dawn Zimmaro is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education, having authored 19 papers that have together received 243 indexed citations. Recurring topics across this work include Online Learning and Analytics (9 papers), Intelligent Tutoring Systems and Adaptive Learning (8 papers) and Innovative Teaching and Learning Methods (7 papers). The work is most often cited by research in Computer Science Applications (58 citations), Developmental and Educational Psychology (57 citations) and Education (130 citations). Dawn Zimmaro has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ivan A. Shibley, John Kucsera, Candace Thille, Jay Parkes, Hoi K. Suen, Olle Bälter, John C. Mitchell, Ethan Fast, Bharathan Balaji and Emma Brunskill. Their work appears in journals such as Journal of Chemical Education, Psychological Reports and Interactive Learning Environments.
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.