Scott deLahunta

34 papers receiving 176 citations

Peers

Scott deLahunta
Comparison fields: 5 of 54
  • Visual Arts and Performing Arts 51
  • Experimental and Cognitive Psychology 98
  • Human-Computer Interaction 34
  • Music 12
  • Social Psychology 54
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Valerie Monthland Preston-Dunlop United Kingdom
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Citations per year

Countries citing papers authored by Scott deLahunta

Since Specialization
Citations

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

Fields of papers citing papers by Scott deLahunta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Scott deLahunta, 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 Scott deLahunta Line = papers co-authored together Scott deLahunta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201129
2 200624
3 201515
4 200213
5 200812
6 200611
7 201911
8 201110
9 200710
10 20177
11
The choreographic language agent
20087
12 20027
13 20046
14 20056
15
Sketching by Programming in the Choreographic Language Agent
20125
16
Densites of agreement: Making visible some intangible properties of Dance
20054
17
Publishing choreographic ideas: discourse from practice
20144
18
Augmenting Choreography: Insights and inspiration from science
20094
19
Dance becoming data: version two
20183
20
Inside Movement Knowledge
20103

About Scott deLahunta

Scott deLahunta is a scholar working on Experimental and Cognitive Psychology, Visual Arts and Performing Arts, Control and Systems Engineering, Social Psychology and Music, having authored 38 papers that have together received 210 indexed citations. Recurring topics across this work include Diversity and Impact of Dance (25 papers), Theatre and Performance Studies (13 papers), Human Motion and Animation (11 papers), Action Observation and Synchronization (4 papers), Diverse Musicological Studies (2 papers), Music Technology and Sound Studies (2 papers), Creativity in Education and Neuroscience (2 papers) and Neuroscience and Music Perception (2 papers). The work is most often cited by research in Visual Arts and Performing Arts (51 citations), Experimental and Cognitive Psychology (98 citations), Human-Computer Interaction (34 citations), Music (12 citations) and Social Psychology (54 citations). Scott deLahunta has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Philip Barnard, James Leach, Frédéric Bevilacqua, Cristina Ramponi, Alan F. Blackwell, Michele Veldsman, Rhodri Cusack, Adrian M. Owen, Beatriz Calvo‐Merino and Jon May. Their work appears in journals such as Performance Research, International Journal of Performance Arts and Digital Media, Leonardo, Acta Psychologica and Interdisciplinary Science Reviews.

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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