Daniel Müllensiefen

4.9k citations
119 papers · 2.7k indexed · 1 hit paper · h-index 27
Topics
Neuroscience and Music Perception (92 papers)Diverse Music Education Insights (55 papers)Music and Audio Processing (41 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeuroImage

In The Last Decade

Daniel Müllensiefen

112 papers receiving 2.6k citations

Hit Papers

The Musicality of Non-Musicians: An Index for Assessing M...20142026201820222014200400600

Peers

Daniel Müllensiefen
Comparison fields: 5 of 114
  • Cognitive Neuroscience 2.1k
  • Music 815
  • Signal Processing 675
  • Experimental and Cognitive Psychology 654
  • Social Psychology 633
Replace Emery Schubert with:
Emery Schubert Australia
Lola L. Cuddy Canada
Eric Clarke United Kingdom
Jonna K. Vuoskoski Norway
Richard Parncutt Austria
Emmanuel Bigand France
Tuomas Eerola United Kingdom
Reinhard Kopiez Germany
David Huron United States
Katie Overy United Kingdom
Daniel Müllensiefen relative to Emery Schubert Australia Emery Schubert's profile →
Citations per field
00.5×1.6×
Emery Schubert · 1×
Citations per year

Countries citing papers authored by Daniel Müllensiefen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Müllensiefen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Müllensiefen

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Müllensiefen. A scholar is included among the top collaborators of Daniel Müllensiefen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Müllensiefen. Daniel Müllensiefen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 9
5 6
6 5
7 1
8 20
9 11
10 7
11 86
12 54
13 3
14
Audience Reactions to Repeating A Piece on A Concert Programme
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15 5
16 35
17 46
18 31
19 14
20 13

About Daniel Müllensiefen

Daniel Müllensiefen is a scholar working on Music, Cognitive Neuroscience and Signal Processing, having authored 119 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (92 papers), Diverse Music Education Insights (55 papers) and Music and Audio Processing (41 papers). The work is most often cited by research in Music (815 citations), Cognitive Neuroscience (2.1k citations) and Signal Processing (675 citations). Daniel Müllensiefen has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Lauren Stewart, Jason Musil, Bruno Gingras, Peter M. C. Harrison, Klaus Frieler, Marcus T. Pearce, Geraínt A. Wiggins, Victoria J. Williamson, Andrea R. Halpern and Nora K. Schaal. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

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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