Journal of New Music Research

724 papers and 9.7k indexed citations i.

About

The 724 papers published in Journal of New Music Research in the last decades have received a total of 9.7k indexed citations. Papers published in Journal of New Music Research usually cover Computer Vision and Pattern Recognition (524 papers), Signal Processing (503 papers) and Cognitive Neuroscience (384 papers) specifically the topics of Music Technology and Sound Studies (501 papers), Music and Audio Processing (491 papers) and Neuroscience and Music Perception (341 papers). The most active scholars publishing in Journal of New Music Research are Patrik N. Juslin, Petri Laukka, Simon Dixon, Klaus R. Scherer, F. Pachet, Daniel P. W. Ellis, Gerhard Widmer, Paul Lamere, Dirk Moelants and Darrell Conklin.

In The Last Decade

Fields of papers published in Journal of New Music Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Journal of New Music Research

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of New Music 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 papers published in Journal of New Music Research 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 New Music Research 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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