Daniel Harrison

948 citations
16 papers · 295 · h-index 8

Impact in

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

Papers in

Daniel Harrison

16 papers receiving 157 citations

Peers

Daniel Harrison
Comparison fields: 5 of 57
  • Music 174
  • Cognitive Neuroscience 100
  • Signal Processing 39
  • Computer Vision and Pattern Recognition 66
  • Communication 17
Replace Eric Drott with:
Eric Drott United States
Allan Moore United Kingdom
Paul Théberge Canada
Gary Burns United States
Wayne Slawson United States
Richard Kostelanetz United States
Joo-Young Lee United States
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Paul Wells United Kingdom
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Daniel Harrison relative to Eric Drott United States Eric Drott's profile →
Citations per field
00.5×6.5×
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 2 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

16 of 16 papers shown
#Work
1 200670
2 200167
3
Harmonic Function in Chromatic Music: A Renewed Dualist Theory and an Account of Its Precedents
199464
4 199523
5 200221
6 200212
7 198810
8 19908
9 20166
10 19914
11 19903
12 20002
13 20082
14 20191
15 20181
16 20201

About Daniel Harrison

Daniel Harrison is a scholar working on Music, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing and Surgery, having authored 16 papers that have together received 295 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (7 papers), Diverse Musicological Studies (4 papers), Music Technology and Sound Studies (4 papers), Neuroscience and Music Perception (3 papers), Music and Audio Processing (2 papers), Coastal and Marine Dynamics (1 paper), Bach Studies and Logistics Development (1 paper) and Ethics and Legal Issues in Pediatric Healthcare (1 paper). The work is most often cited by research in Music (174 citations), Cognitive Neuroscience (100 citations), Signal Processing (39 citations), Computer Vision and Pattern Recognition (66 citations) and Communication (17 citations). Daniel Harrison has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kalyan R. Piratla and Brandon E. Ross. Their work appears in journals such as Journal of Music Theory, Music Theory Spectrum, Media Culture & Society, Music Analysis 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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