Chris Kiefer

723 citations
40 papers · 468 indexed · h-index 10
Topics
Music Technology and Sound Studies (22 papers)Music and Audio Processing (11 papers)Neuroscience and Music Perception (8 papers)

In The Last Decade

Chris Kiefer

39 papers receiving 432 citations

Peers

Chris Kiefer
Comparison fields: 5 of 82
  • Cognitive Neuroscience 164
  • Computer Vision and Pattern Recognition 155
  • Transportation 115
  • Human-Computer Interaction 97
  • Automotive Engineering 63
Replace Catherine Guastavino with:
Catherine Guastavino Canada
Vigneshwaran Subbaraju Singapore
Carlos Escolano Spain
Stefan Münzer Germany
Emrah Aydemir Türkiye
Antti Jylhä Finland
Rik Warren United States
Kristen L. Macuga United States
Stefano Burigat Italy
Chris Kiefer relative to Catherine Guastavino Canada Catherine Guastavino's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chris Kiefer

Since Specialization
Citations

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

Fields of papers citing papers by Chris Kiefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Kiefer

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Kiefer. A scholar is included among the top collaborators of Chris Kiefer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Kiefer. Chris Kiefer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 7
3 3
4 8
5 3
6 7
7 1
8 4
9 13
10 109
11 2
12 48
13 62
14
NoiseBear: A Wireless Malleable Instrument Designed In Participation with Disabled Children
4
15 7
16
Maximillian: An easy to use, cross platform C++ Toolkit for interactive audio and synthesis applications
2
17
Progress Report on the EAVI BCI Toolkit for Music: Musical Applications of Algorithms for use with consumer brain computer interfaces
4
18 2
19 8
20
Evaluating the Wiimote as a musical controller
16

About Chris Kiefer

Chris Kiefer is a scholar working on Human-Computer Interaction, Music and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 468 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (22 papers), Music and Audio Processing (11 papers) and Neuroscience and Music Perception (8 papers). The work is most often cited by research in Human-Computer Interaction (97 citations), Transportation (115 citations) and Cognitive Neuroscience (164 citations). Chris Kiefer has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Frauke Behrendt, Mick Grierson, David Raffo, S Cairns, Christopher N. Beaumont, Alice Eldridge, Nick Collins, Geraldine Fitzpatrick, Katrin Elisabeth Giel and Christian Plewnia. Their work appears in journals such as Transportation Research Part A Policy and Practice, Brain stimulation 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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