Journal of Music Theory

866 papers and 8.4k indexed citations i.

About

The 866 papers published in Journal of Music Theory in the last decades have received a total of 8.4k indexed citations. Papers published in Journal of Music Theory usually cover Music (500 papers), Computer Vision and Pattern Recognition (301 papers) and Cognitive Neuroscience (179 papers) specifically the topics of Musicology and Musical Analysis (455 papers), Music Technology and Sound Studies (300 papers) and Neuroscience and Music Perception (177 papers). The most active scholars publishing in Journal of Music Theory are Leonard B. Meyer, David Kraehenbuehl, David Lewin, Allen Forte, Lawrence M. Zbikowski, Eugene Narmour, Richard M. Cohn, John Clough, Joseph Straus and Frank R. Moore.

In The Last Decade

Fields of papers published in Journal of Music Theory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Music Theory. 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 Journal of Music Theory.

Countries where authors publish in Journal of Music Theory

Since Specialization
Citations

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