Daniel Harrison

954 citations
22 papers · 453 · h-index 10

Impact in

  • Music top 0.5%
    • Musicology and Musical Analysis
    • Music History and Culture
    • Diverse Musicological Studies
    • Theater, Performance, and Music History
    • Diverse Music Education Insights
    • Neuroscience and Music Perception

Papers in

Daniel Harrison

21 papers receiving 220 citations

Peers

Daniel Harrison
Comparison fields: 5 of 67
  • Music 277
  • Cognitive Neuroscience 131
  • Classics 22
  • Theoretical Computer Science 6
  • Signal Processing 46
Replace Eric Drott with:
Eric Drott United States
José A. Bowen United States
Johannes Riedel Germany
Doris Evans McGinty United States
Allan Moore United Kingdom
Sumanth Gopinath United States
Philip Tagg Canada
Joanna Demers United States
Jason Stanyek United States
Stan Hawkins Norway
Daniel Harrison relative to Eric Drott United States Eric Drott's profile →
Citations per field
00.5×2×3×4.2×
Eric Drott · 1×
Citations per year

Countries citing papers authored by Daniel Harrison

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Harrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Harrison. 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 Harrison. The network helps show where Daniel Harrison may publish in the future.

Co-authors

The 3 scholars most cited alongside Daniel Harrison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Harrison Line = papers co-authored together Daniel Harrison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006150
2 200175
3
Harmonic Function in Chromatic Music: A Renewed Dualist Theory and an Account of Its Precedents
199475
4 199539
5 200222
6 201616
7 200214
8 199713
9 198810
10 19909
11 20066
12 20125
13 19914
14 20083
15 19903
16 20002
17 20182
18 20082
19 20191
20 20191

About Daniel Harrison

Daniel Harrison is a scholar working on Music, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Sociology and Political Science and Signal Processing, having authored 22 papers that have together received 453 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (8 papers), Diverse Musicological Studies (5 papers), Music Technology and Sound Studies (4 papers), Neuroscience and Music Perception (4 papers), Music and Audio Processing (2 papers), Political Economy and Marxism (2 papers), Labor Movements and Unions (2 papers) and Elite Sociology and Global Capitalism (2 papers). The work is most often cited by research in Music (277 citations), Cognitive Neuroscience (131 citations), Classics (22 citations), Theoretical Computer Science (6 citations) and Signal Processing (46 citations). Daniel Harrison has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Larry W. Isaac, Kalyan R. Piratla and Brandon E. Ross. Their work appears in journals such as Music Theory Spectrum, Journal of Music Theory, Media Culture & Society, Music Theory Online and Sexualities.

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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