Amber Chauncey

6 papers and 219 indexed citations i.

About

Amber Chauncey is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Amber Chauncey has authored 6 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Developmental and Educational Psychology, 4 papers in Artificial Intelligence and 4 papers in Computer Science Applications. Recurrent topics in Amber Chauncey’s work include Innovative Teaching and Learning Methods (6 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Online Learning and Analytics (2 papers). Amber Chauncey is often cited by papers focused on Innovative Teaching and Learning Methods (6 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Online Learning and Analytics (2 papers). Amber Chauncey collaborates with scholars based in United States and Canada. Amber Chauncey's co-authors include Roger Azevedo, Daniel C. Moos, Amy M. Johnson, Amy Witherspoon, Zhiqiang Cai and Mihai Lintean and has published in prestigious journals such as Educational Psychologist, DOAJ (DOAJ: Directory of Open Access Journals) and National Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Amber Chauncey i

Fields of papers citing papers by Amber Chauncey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amber Chauncey. 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. The network helps show where Amber Chauncey may publish in the future.

Countries citing papers authored by Amber Chauncey

Since Specialization
Citations

This map shows the geographic impact of Amber Chauncey'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 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 more than expected).

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.

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2025