Countries where authors publish in Computer Music Journal
Since Specialization
Citations
This map shows the geographic impact of research published in Computer Music Journal. 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 Computer Music Journal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computer Music Journal more than expected).
Fields of papers published in Computer Music Journal
This network shows the impact of papers published in Computer Music Journal. 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 Computer Music Journal.
About Computer Music Journal
The 1.2k papers published in Computer Music Journal in the last decades have received a total of 26.1k indexed citations . Papers published in Computer Music Journal usually cover Signal Processing (601 papers), Computer Vision and Pattern Recognition (850 papers), Music (128 papers), Cognitive Neuroscience (297 papers) and Human-Computer Interaction (39 papers) specifically the topics of Music Technology and Sound Studies (830 papers), Music and Audio Processing (570 papers), Neuroscience and Music Perception (246 papers), Speech and Audio Processing (113 papers), Diverse Musicological Studies (71 papers), Musicology and Musical Analysis (42 papers), Interactive and Immersive Displays (30 papers) and Tactile and Sensory Interactions (28 papers). The most active scholars publishing in Computer Music Journal are Peter Child, Ray Jackendoff, Fred Lerdahl, Julius O. Smith, David Wessel, Curtis Roads, Durand R. Begault, Miller Puckette, Kim Cascone and Anders Friberg.
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.