Christopher Doll

2.8k citations
17 papers · 112 · h-index 4

Impact in

  • Music top 5%
    • Musicology and Musical Analysis
    • Music History and Culture
    • Diverse Music Education Insights
    • Neuroscience and Music Perception

Papers in

Christopher Doll

15 papers receiving 93 citations

Peers

Christopher Doll
Comparison fields: 5 of 63
  • Music 40
  • Cognitive Neuroscience 31
  • Signal Processing 17
  • Archeology 1
  • Computer Vision and Pattern Recognition 19
Replace Karl Geiringer with:
Karl Geiringer New Zealand
Paul Banks United States
Catherine Dominguès France
Aleksandra Kostić Serbia
Weicong Li Malaysia
Jiwen Yang China
Fengxiang Wang China
Kelly M. Sunderland Canada
William Reynolds Vance United States
Chau-Yin Chen Taiwan
Christopher Doll relative to Karl Geiringer New Zealand Karl Geiringer's profile →
Citations per field
00.5×7.5×
Karl Geiringer · 1×
Citations per year

Countries citing papers authored by Christopher Doll

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Doll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher Doll, 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 Christopher Doll Line = papers co-authored together Christopher Doll links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201742
2 201120
3
Hearing Harmony: Toward a Tonal Theory for the Rock Era
201716
4 200312
5 20203
6
Governance Challenges for Greening the Urban Economy: Understanding and Assessing the Links between Governance and Green Economy in Cities
20123
7 20183
8 20122
9
Systems Thinking and the Cobra Effect
20152
10 20172
11 20162
12 20212
13
Cities, Biodiversity and Governance
20111
14
Challenges for national clean air policy - a national integrated assessment model for Germany
20101
15 20151
16 20130
17 20140

About Christopher Doll

Christopher Doll is a scholar working on Music, Computer Vision and Pattern Recognition, Signal Processing, Global and Planetary Change and Experimental and Cognitive Psychology, having authored 17 papers that have together received 112 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (4 papers), Music and Audio Processing (3 papers), Music Technology and Sound Studies (3 papers), Diverse Music Education Insights (2 papers), Medieval Literature and History (1 paper), Sustainable Building Design and Assessment (1 paper), Diverse Musicological Studies (1 paper) and Folklore, Mythology, and Literature Studies (1 paper). The work is most often cited by research in Music (40 citations), Cognitive Neuroscience (31 citations), Signal Processing (17 citations), Archeology (1 citation) and Computer Vision and Pattern Recognition (19 citations). Christopher Doll has collaborated with scholars based in United States, Finland and Japan. Frequent co-authors include Elinor Chisholm, José Siri, Ralph Chapman, Philippa Howden‐Chapman, Anthony Capon, Feng Gao, Jan‐Peter Müller, A.H. Strahler, Crystal Schaaf and Shunlin Liang. Their work appears in journals such as Music Theory Online, Journal of Music Theory, Music Theory Spectrum, Journal of Cleaner Production and Music & Science.

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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