Leigh Landy

441 citations
42 papers · 212 indexed · h-index 7

Leigh Landy

30 papers receiving 175 citations

Peers

Leigh Landy
Comparison fields: 5 of 45
  • Music 94
  • Computer Vision and Pattern Recognition 147
  • Signal Processing 58
  • Cognitive Neuroscience 103
  • Visual Arts and Performing Arts 15
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Countries citing papers authored by Leigh Landy

Since Specialization
Citations

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

Fields of papers citing papers by Leigh Landy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Leigh Landy, 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 Leigh Landy Line = papers co-authored together Leigh Landy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20166
2 20132
3 201212
4
Art for Goodness(’) Sake: It’s your tea party and you can cry if you want to
20111
5
An ontology-based model driven approach for a music learning system.
20091
6
La musique des sons / the music of sounds.
20072
7 20072
8
Electroacoustic Music Studies and Accepted Terminology: You can’t have one without the other.
20064
9
Introducing the ElectroAcoustic Resource Site (EARS)
20030
10
In transit or realising one's aesthetic when the technology finally catches up.
20030
11 20030
12
ElectroAcoustic Resource Site (EARS)
20021
13
Measuring Intention against Reception in Electroacoustic Music: A new opportunity for analysis
20013
14
Co-hear-ence and electroacoustic music.
20001
15
Devising dance and music: Idée Fixe.
20001
16 19970
17 19960
18
Experimental music notebooks
19941
19 19920
20
Is More Than Three Decades of Computer Music Reaching the Public it Deserves
19905

About Leigh Landy

Leigh Landy is a scholar working on Music, Computer Vision and Pattern Recognition and Signal Processing, having authored 42 papers that have together received 212 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (30 papers), Music and Audio Processing (14 papers), Diverse Musicological Studies (7 papers), Diverse Music Education Insights (5 papers), Neuroscience and Music Perception (4 papers), Musicology and Musical Analysis (3 papers), Art, Politics, and Modernism (2 papers) and Digital Media and Philosophy (1 paper). The work is most often cited by research in Music (94 citations), Computer Vision and Pattern Recognition (147 citations) and Signal Processing (58 citations). Leigh Landy has collaborated with scholars based in United Kingdom, Netherlands and Russia. Frequent co-authors include Richard Hall, R. A. Weale, Marc Battier, Hongji Yang, Kia Ng, Denis Smalley, Gary S. Kendall, Andrew Hugill, John Young and Feng Chen. Their work appears in journals such as Organised Sound, Contemporary Music Review, Journal of Music Technology and Education, Leonardo Music Journal and Notes.

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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