Kim Cascone

About

Kim Cascone is a scholar working on Computer Vision and Pattern Recognition, Music and Aerospace Engineering. According to data from OpenAlex, Kim Cascone has authored 7 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Music and 1 paper in Aerospace Engineering. Recurrent topics in Kim Cascone’s work include Music Technology and Sound Studies (3 papers), Music History and Culture (2 papers) and Aerospace, Electronics, Mathematical Modeling (1 paper). Kim Cascone is often cited by papers focused on Music Technology and Sound Studies (3 papers), Music History and Culture (2 papers) and Aerospace, Electronics, Mathematical Modeling (1 paper). Kim Cascone collaborates with scholars based in United Kingdom. Kim Cascone's co-authors include Petar Jandrić and has published in prestigious journals such as The Journal of the Acoustical Society of America, Computer Music Journal and Postdigital Science and Education.

In The Last Decade

Co-authorship network of co-authors of Kim Cascone i

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Fields of papers citing papers by Kim Cascone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim Cascone. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kim Cascone. The network helps show where Kim Cascone may publish in the future.

Countries citing papers authored by Kim Cascone

Since Specialization

Citations

This map shows the geographic impact of Kim Cascone's 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 Kim Cascone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Cascone 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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