Yearbook for Traditional Music

726 papers and 4.5k indexed citations i.

About

The 726 papers published in Yearbook for Traditional Music in the last decades have received a total of 4.5k indexed citations. Papers published in Yearbook for Traditional Music usually cover Music (310 papers), Sociology and Political Science (180 papers) and Cultural Studies (107 papers) specifically the topics of Diverse Musicological Studies (215 papers), Music History and Culture (145 papers) and Musicology and Musical Analysis (107 papers). The most active scholars publishing in Yearbook for Traditional Music are Steven Feld, Christopher A. Waterman, Ingrid Monson, Timothy Rice, Jean-Jacques Nattiez, Paul Théberge, Veit Erlmann, Bruno Nettl, Anthony Seeger and Adrienne L. Kaeppler.

In The Last Decade

Fields of papers published in Yearbook for Traditional Music

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Yearbook for Traditional Music. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Yearbook for Traditional Music.

Countries where authors publish in Yearbook for Traditional Music

Since Specialization
Citations

This map shows the geographic impact of research published in Yearbook for Traditional Music. 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 papers published in Yearbook for Traditional Music with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yearbook for Traditional Music 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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