Amber Chauncey Strain
- Developmental and Educational Psychology top 10%
- Experimental and Cognitive Psychology
- Education
- Cognitive Neuroscience
- Social Psychology
- Co-authors
- Sidney K. D’MelloArt GraesserSara M. FulmerRoger AzevedoPatricia WallaceBlair LehmanKeith MillisMelissa Gross
- Topics
- Innovative Teaching and Learning Methods (4 papers)Intelligent Tutoring Systems and Adaptive Learning (2 papers)Rhetoric and Communication Studies (1 paper)
- Cited by
- Developmental and Educational PsychologyComputer Science ApplicationsExperimental and Cognitive Psychology
- Journals
- Contemporary Educational PsychologyApplied Cognitive PsychologyInternational Journal of Artificial Intelligence in Education
- Partner nations
- United StatesCanada
In The Last Decade
Amber Chauncey Strain
6 papers receiving 153 citations
Peers
Comparison fields: 5 of 38
- Developmental and Educational Psychology 91
- Experimental and Cognitive Psychology 62
- Education 41
- Cognitive Neuroscience 36
- Social Psychology 32
Countries citing papers authored by Amber Chauncey Strain
This map shows the geographic impact of Amber Chauncey Strain'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 Amber Chauncey Strain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber Chauncey Strain more than expected).
Fields of papers citing papers by Amber Chauncey Strain
This network shows the impact of papers produced by Amber Chauncey Strain. 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 Amber Chauncey Strain. The network helps show where Amber Chauncey Strain may publish in the future.
Co-authorship network of co-authors of Amber Chauncey Strain
This figure shows the co-authorship network connecting the top 25 collaborators of Amber Chauncey Strain. A scholar is included among the top collaborators of Amber Chauncey Strain 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 Amber Chauncey Strain. Amber Chauncey Strain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 69 | |
| 2 | 37 | |
| 3 | Added Teacher-Created Motiational Video to an ITS. | 4 |
| 4 | A Gramulator Analysis of Gendered Language in Cable News Reportage. | 2 |
| 5 | 32 | |
| 6 | 25 |
About Amber Chauncey Strain
Amber Chauncey Strain is a scholar working on Developmental and Educational Psychology, Applied Psychology and Cognitive Neuroscience, having authored 6 papers that have together received 169 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (4 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers) and Rhetoric and Communication Studies (1 paper). The work is most often cited by research in Developmental and Educational Psychology (91 citations), Computer Science Applications (29 citations) and Experimental and Cognitive Psychology (62 citations). Amber Chauncey Strain has collaborated with scholars based in United States and Canada. Frequent co-authors include Sidney K. D’Mello, Art Graesser, Sara M. Fulmer, Roger Azevedo, Patricia Wallace, Blair Lehman, Keith Millis, Melissa Gross, Caitlin Mills and Philip M. McCarthy. Their work appears in journals such as Contemporary Educational Psychology, Applied Cognitive Psychology and International Journal of Artificial Intelligence in Education.
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.