Damián Keller

1.1k citations
64 papers · 626 · h-index 11

Impact in

Papers in

Damián Keller

55 papers receiving 590 citations

Peers

Damián Keller
Comparison fields: 5 of 59
  • Human-Computer Interaction 273
  • Computer Vision and Pattern Recognition 442
  • Music 58
  • Signal Processing 166
  • Architecture 22
Replace Daniel Overholt with:
Daniel Overholt Denmark
Andy Hunt United Kingdom
Atau Tanaka United Kingdom
Kristian Nymoen Norway
Oliver Bown Australia
Baptiste Caramiaux France
Mathieu Barthet United Kingdom
Mikael Fernström Ireland
Dan Trueman United States
Tim Perkis United States
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Citations per field
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Citations per year

Countries citing papers authored by Damián Keller

Since Specialization
Citations

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

Fields of papers citing papers by Damián Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Damián Keller, 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 Damián Keller Line = papers co-authored together Damián Keller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018172
2 201741
3 200037
4
Ecologically-based Granular Synthesis
199836
5 201133
6 201128
7 201225
8 200622
9
Anchoring In Ubiquitous Musical Activities
201021
10 201915
11
THE MOBILE CSOUND PLATFORM
201214
12 20159
13 20189
14 20008
15 20148
16
Patterns of Musical Interaction with Computing Devices
20147
17 20227
18 20047
19 20107
20
Urban Corridor: Accumulation and Interaction as Form-Bearing Process
20026

About Damián Keller

Damián Keller is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Signal Processing, Cognitive Neuroscience and Mechanical Engineering, having authored 64 papers that have together received 626 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (41 papers), Innovative Human-Technology Interaction (23 papers), Music and Audio Processing (18 papers), Interactive and Immersive Displays (14 papers), Neuroscience and Music Perception (10 papers), Design Education and Practice (7 papers), Diverse Music Education Insights (6 papers) and Creativity in Education and Neuroscience (5 papers). The work is most often cited by research in Human-Computer Interaction (273 citations), Computer Vision and Pattern Recognition (442 citations), Music (58 citations), Signal Processing (166 citations) and Architecture (22 citations). Damián Keller has collaborated with scholars based in Brazil, United States and Ireland. Frequent co-authors include Victor Lazzarini, Marcelo Soares Pimenta, Carlo Fischione, Mathieu Barthet, Georg Essl, Luca Turchet, Ariadna Capasso, Barry Truax, Maria Helena Melo Lima and François Bouchet. Their work appears in journals such as Journal of New Music Research, Organised Sound, Journal of Music Technology and Education, Computer Music Journal and Leonardo.

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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