Countries where authors publish in Leonardo Music Journal
Since Specialization
Citations
This map shows the geographic impact of research published in Leonardo 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 Leonardo 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 Leonardo Music Journal more than expected).
Fields of papers published in Leonardo Music Journal
This network shows the impact of papers published in Leonardo 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 Leonardo Music Journal.
About Leonardo Music Journal
The 486 papers published in Leonardo Music Journal in the last decades have received a total of 3.9k indexed citations . Papers published in Leonardo Music Journal usually cover Music (151 papers), Computer Vision and Pattern Recognition (255 papers), Visual Arts and Performing Arts (47 papers), Architecture (13 papers) and Signal Processing (74 papers) specifically the topics of Music Technology and Sound Studies (254 papers), Diverse Musicological Studies (81 papers), Music and Audio Processing (73 papers), Musicology and Musical Analysis (71 papers), Neuroscience and Music Perception (50 papers), Music History and Culture (47 papers), Art, Technology, and Culture (26 papers) and Architecture and Computational Design (13 papers). The most active scholars publishing in Leonardo Music Journal are Albert S. Bregman, Gregory Kramer, Judy Malloy, George Lewis, Axel Mulder, Frank R. Moore, Robert Rowe, Marc Battier, Sergi Jordà and Douglas A. Kahn.
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.