Gavin Ambrose

16 papers and 120 indexed citations i.

About

Gavin Ambrose is a scholar working on Education, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Gavin Ambrose has authored 16 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Education, 6 papers in Computer Science Applications and 3 papers in Artificial Intelligence. Recurrent topics in Gavin Ambrose’s work include Online Learning and Analytics (6 papers), Reflective Practices in Education (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Gavin Ambrose is often cited by papers focused on Online Learning and Analytics (6 papers), Reflective Practices in Education (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Gavin Ambrose collaborates with scholars based in United States, China and United Kingdom. Gavin Ambrose's co-authors include Paul Harris, Nitesh V. Chawla, Jay Brockman, Everaldo Aguiar, Chaoli Wang, Malolan Chetlur, Nigel Bosch, Sidney K. D’Mello, Helen L. Chen and Mari Beth Coleman and has published in prestigious journals such as Journal of Chemical Education, Journal of Computer Assisted Learning and Education and Information Technologies.

In The Last Decade

Co-authorship network of co-authors of Gavin Ambrose i

Fields of papers citing papers by Gavin Ambrose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gavin Ambrose

Since Specialization
Citations

This map shows the geographic impact of Gavin Ambrose'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 Gavin Ambrose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Ambrose 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