Richard Will

462 citations
11 papers · 55 · h-index 5

Impact in

  • Music top 5%
    • Musicology and Musical Analysis
    • Theater, Performance, and Music History
    • Music History and Culture
    • Diverse Musicological Studies
    • Diverse Music Education Insights
    • Visual Culture and Art Theory

Papers in

    • Musicology and Musical Analysis 9
    • Diverse Musicological Studies 5
    • Theater, Performance, and Music History 4
    • Music History and Culture 4
    • Diverse Music Education Insights 2

Richard Will

11 papers receiving 28 citations

Peers

Richard Will
Comparison fields: 5 of 26
  • Music 44
  • Visual Arts and Performing Arts 6
  • Museology 4
  • Literature and Literary Theory 6
  • History 5
Replace Thomas S. Grey with:
Thomas S. Grey United States
Emanuele Senici Italy
Richard Wistreich United Kingdom
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Julian Rushton United Kingdom
Elizabeth Eva Leach United Kingdom
Peter Le Huray United States
James Deaville Canada
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Franz Liszt
Richard Will relative to Thomas S. Grey United States Thomas S. Grey's profile →
Citations per field
00.5×
Thomas S. Grey · 1×
Citations per year

Countries citing papers authored by Richard Will

Since Specialization
Citations

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

Fields of papers citing papers by Richard Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Richard Will, 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 Richard Will Line = papers co-authored together Richard Will links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200215
2 19978
3 20136
4 20116
5 20135
6 19974
7 20044
8 20183
9 19992
10
Engaging Haydn: Analytical readings and rereadings
20121
11
Engaging Haydn: List of Contributors
20121

About Richard Will

Richard Will is a scholar working on Music, Rehabilitation, Computer Vision and Pattern Recognition, Literature and Literary Theory and Economics and Econometrics, having authored 11 papers that have together received 55 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (9 papers), Diverse Musicological Studies (5 papers), Theater, Performance, and Music History (4 papers), Music History and Culture (4 papers), Diverse Music Education Insights (2 papers), Theatre and Performance Studies (1 paper), Shakespeare, Adaptation, and Literary Criticism (1 paper) and Music Technology and Sound Studies (1 paper). The work is most often cited by research in Music (44 citations), Visual Arts and Performing Arts (6 citations), Museology (4 citations), Literature and Literary Theory (6 citations) and History (5 citations). Richard Will has collaborated with scholars based in United States and Ireland. Frequent co-authors include Suzanne G. Cusick, Mary Hunter, Mary Sue Morrow, Michael Spitzer, James Webster, Suzannah Clark, Roger Parker, Julian Johnson, Julian Horton and Steven Vande Moortele. Their work appears in journals such as Journal of the American Musicological Society, Notes, Music and Letters, The Musical Quarterly and The Opera Quarterly.

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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