John Covach

425 citations
21 papers · 135 · h-index 6

Impact in

  • Music top 1%
    • Music History and Culture
    • Musicology and Musical Analysis
    • Diverse Musicological Studies
    • Diverse Music Education Insights
    • Theater, Performance, and Music History

Papers in

John Covach

13 papers receiving 88 citations

Peers

John Covach
Comparison fields: 5 of 43
  • Music 96
  • Archeology 2
  • Computer Science Applications 9
  • Computer Vision and Pattern Recognition 28
  • Cognitive Neuroscience 24
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Citations per year

Countries citing papers authored by John Covach

Since Specialization
Citations

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

Fields of papers citing papers by John Covach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside John Covach, 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 John Covach Line = papers co-authored together John Covach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Understanding Rock: Essays in Musical Analysis
199731
2 200328
3
What's That Sound? : An Introduction to Rock and Its History
200628
4 201312
5 19989
6 20005
7 19963
8 19963
9 20103
10 19963
11
The music and theories of Josef Matthias Hauer.
19902
12
SCHOENBERG AND THE OCCULT: Some Reflections on the Musical Idea
20162
13 20182
14 20171
15 19951
16
The Ruttles and the Use of Specific Models in Musical Satire
19901
17 19941
18 19950
19 19940
20 19920

About John Covach

John Covach is a scholar working on Music, Computer Vision and Pattern Recognition, Literature and Literary Theory, Cognitive Neuroscience and History, having authored 21 papers that have together received 135 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (10 papers), Music Technology and Sound Studies (7 papers), Music History and Culture (6 papers), Diverse Music Education Insights (3 papers), German Literature and Culture Studies (2 papers), Folklore, Mythology, and Literature Studies (1 paper), Neuroscience and Music Perception (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Music (96 citations), Archeology (2 citations), Computer Science Applications (9 citations), Computer Vision and Pattern Recognition (28 citations) and Cognitive Neuroscience (24 citations). John Covach has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Robynn J. Stilwell, Martin Stokes, D. Ll. Griffiths, Adam Krims, Stan Hawkins, Robert Walser, Allan F. Moore, Mark D. Spicer and Bill Martin. Their work appears in journals such as Music Theory Online, Notes, 19th-Century Music, Music Theory Spectrum and Contemporary Music Review.

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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