Daniel Cavicchi
Impact in
- Music top 0.5%
- Music History and Culture
- Diverse Music Education Insights
- Diverse Musicological Studies
- Musicology and Musical Analysis
- Gender Studies top 10%
- Gender, Feminism, and Media
Papers in
- Music 8
- Music History and Culture 7
- Theater, Performance, and Music History 5
- Diverse Music Education Insights 1
- Diverse Musicological Studies 1
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- Asian Culture and Media Studies 4
- Co-authors
- Harris M. Berger (1 shared paper)Charles Keil (1 shared paper)David Brackett (1 shared paper)Richard Middleton (1 shared paper)Jason Toynbee (1 shared paper)Nancy K. Baym (1 shared paper)
- Journals
- Ethnomusicology (2 papers)Journal of Popular Music Studies (1 paper)Project Muse (Johns Hopkins University) (1 paper)New York University Press eBooks (1 paper)NYU Press eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Cavicchi
14 papers receiving 220 citations
Peers
Comparison fields: 5 of 49
- Music 186
- Gender Studies 69
- Cultural Studies 50
- Communication 32
- Urban Studies 20
Countries citing papers authored by Daniel Cavicchi
This map shows the geographic impact of Daniel Cavicchi'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 Daniel Cavicchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cavicchi more than expected).
Fields of papers citing papers by Daniel Cavicchi
This network shows the impact of papers produced by Daniel Cavicchi. 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 Daniel Cavicchi. The network helps show where Daniel Cavicchi may publish in the future.
Co-authors
The 6 scholars most cited alongside Daniel Cavicchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 107 | |
| 2 | 1998 | 90 | |
| 3 | 2014 | 54 | |
| 4 | 2017 | 25 | |
| 5 | My Music: Explorations of Music in Daily Life | 1993 | 16 |
| 6 | 2009 | 16 | |
| 7 | Fandom Before "Fan": Shaping the History of Enthusiastic Audiences | 2014 | 8 |
| 8 | 2002 | 6 | |
| 9 | 2014 | 5 | |
| 10 | 2017 | 3 | |
| 11 | 2004 | 1 | |
| 12 | 1998 | 1 | |
| 13 | 2018 | 1 | |
| 14 | Ubiquitous Listening: Affect, Attention, and Distributed Subjectivity by Anahid Kassabian (review) | 2014 | 1 |
| 15 | 2022 | 0 |
About Daniel Cavicchi
Daniel Cavicchi is a scholar working on Music, Cultural Studies, Sociology and Political Science, Communication and Economics and Econometrics, having authored 15 papers that have together received 334 indexed citations. Recurring topics across this work include Music History and Culture (7 papers), Theater, Performance, and Music History (5 papers), Asian Culture and Media Studies (4 papers), Media Studies and Communication (2 papers), Digital Games and Media (2 papers), Diverse Music Education Insights (1 paper), Media, Gender, and Advertising (1 paper) and Diverse Musicological Studies (1 paper). The work is most often cited by research in Music (186 citations), Gender Studies (69 citations), Cultural Studies (50 citations), Communication (32 citations) and Urban Studies (20 citations). Daniel Cavicchi has collaborated with scholars based in United States. Frequent co-authors include Harris M. Berger, Charles Keil, David Brackett, Richard Middleton, Jason Toynbee and Nancy K. Baym. Their work appears in journals such as Ethnomusicology, Journal of Popular Music Studies, Project Muse (Johns Hopkins University), New York University Press eBooks and NYU Press eBooks.
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.