Anthony Kaye

About

Anthony Kaye is a scholar working on Artificial Intelligence, Education and Communication. According to data from OpenAlex, Anthony Kaye has authored 7 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Education and 1 paper in Communication. Recurrent topics in Anthony Kaye’s work include Innovative Teaching and Learning Methods (1 paper), Online and Blended Learning (1 paper) and Knowledge Management and Sharing (1 paper). Anthony Kaye is often cited by papers focused on Innovative Teaching and Learning Methods (1 paper), Online and Blended Learning (1 paper) and Knowledge Management and Sharing (1 paper). Anthony Kaye collaborates with scholars based in United Kingdom. Anthony Kaye's co-authors include Robin Mason, Cynthia L. Selfe and Charles Moran and has published in prestigious journals such as Instructional Science, College English and Prospects.

In The Last Decade

Co-authorship network of co-authors of Anthony Kaye i

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Fields of papers citing papers by Anthony Kaye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anthony Kaye

Since Specialization

Citations

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