Christopher Cayari

14 papers and 144 indexed citations i.

About

Christopher Cayari is a scholar working on Music, Education and Computer Vision and Pattern Recognition. According to data from OpenAlex, Christopher Cayari has authored 14 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Music, 4 papers in Education and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Christopher Cayari’s work include Diverse Music Education Insights (10 papers), Music History and Culture (8 papers) and Music Technology and Sound Studies (4 papers). Christopher Cayari is often cited by papers focused on Diverse Music Education Insights (10 papers), Music History and Culture (8 papers) and Music Technology and Sound Studies (4 papers). Christopher Cayari collaborates with scholars based in United States. Christopher Cayari's co-authors include and and has published in prestigious journals such as TechTrends, Music Education Research and International Journal of Music Education.

In The Last Decade

No nodes

Fields of papers citing papers by Christopher Cayari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christopher Cayari

Since Specialization
Citations

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