Danuta Mirka

915 citations
19 papers · 236 · h-index 6

Impact in

  • Music top 1%
    • Musicology and Musical Analysis
    • Diverse Musicological Studies
    • Music History and Culture
    • Neuroscience and Music Perception

Papers in

Danuta Mirka

10 papers receiving 161 citations

Peers

Danuta Mirka
Comparison fields: 5 of 38
  • Music 128
  • Cognitive Neuroscience 151
  • Signal Processing 63
  • Experimental and Cognitive Psychology 61
  • Computer Vision and Pattern Recognition 50
Replace William Drabkin with:
William Drabkin United Kingdom
Carl Schachter United States
Joel Lester United Kingdom
William Rothstein United States
David Brodbeck United States
Warren Darcy
Pierre Boulez France
Christopher Hasty United States
Richard Widdess United Kingdom
Heinrich Schenker
Danuta Mirka relative to William Drabkin United Kingdom William Drabkin's profile →
Citations per field
00.5×1.5×
William Drabkin · 1×
Citations per year

Countries citing papers authored by Danuta Mirka

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Mirka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Danuta Mirka, 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 Danuta Mirka Line = papers co-authored together Danuta Mirka links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200492
2 200947
3
Metric Manipulations in Haydn and Mozart: Chamber Music for Strings, 1787-1791
200938
4 200822
5 201410
6 20109
7 20055
8 19974
9 20003
10 20011
11 19961
12 19961
13 20211
14 20041
15 20011
16
Osvaldas Balakauskas: muzika ir mintys
20000
17 20120
18 20140
19 20140

About Danuta Mirka

Danuta Mirka is a scholar working on Music, Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience and Political Science and International Relations, having authored 19 papers that have together received 236 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (14 papers), Music Technology and Sound Studies (6 papers), Music and Audio Processing (5 papers), Diverse Musicological Studies (5 papers), Neuroscience and Music Perception (4 papers), Historical Influence and Diplomacy (3 papers), Language and Culture (1 paper) and Literature, Musicology, and Cultural Analysis (1 paper). The work is most often cited by research in Music (128 citations), Cognitive Neuroscience (151 citations), Signal Processing (63 citations), Experimental and Cognitive Psychology (61 citations) and Computer Vision and Pattern Recognition (50 citations). Danuta Mirka has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include V. Kofi Agawu. Their work appears in journals such as Journal of Music Theory, The American Journal of Semiotics, Music Theory Online, Journal of Musicology and Die Musikforschung.

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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