David Birchfield

1.2k citations
45 papers · 757 indexed · h-index 13

Impact in

Papers in

David Birchfield

42 papers receiving 719 citations

Peers

David Birchfield
Comparison fields: 5 of 75
  • Human-Computer Interaction 309
  • Developmental and Educational Psychology 287
  • Computer Science Applications 59
  • Computer Vision and Pattern Recognition 206
  • Experimental and Cognitive Psychology 123
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Ali Arya Canada
Antonis Natsis Denmark
Michael Tscholl United States
R. Bowen Loftin United States
Milena Droumeva Canada
Dennis Reidsma Netherlands
Peter Ljungstrand Sweden
Marc M. Sebrechts United States
Nicoletta Adamo‐Villani United States
Eric Harris United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by David Birchfield

Since Specialization
Citations

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

Fields of papers citing papers by David Birchfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside David Birchfield, 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 David Birchfield Line = papers co-authored together David Birchfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201687
2 201510
3 2013217
4 20103
5 20094
6 20095
7 20096
8 20083
9 200820
10 200812
11 20072
12 200712
13
Sound and Interaction for K-12 Mediated Education
20063
14 20068
15 200620
16
DESIGN OF A GENERATIVE MODEL FOR SOUNDSCAPE CREATION
20059
17 20056
18 20053
19 20051
20
Adaptive High-level Classification of Vocal Gestures Within a Networked Sound Instrument
20048

About David Birchfield

David Birchfield is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Speech and Hearing, Developmental and Educational Psychology and Architecture, having authored 45 papers that have together received 757 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (14 papers), Virtual Reality Applications and Impacts (8 papers), Educational Games and Gamification (7 papers), Music and Audio Processing (7 papers), Interactive and Immersive Displays (7 papers), Innovative Teaching and Learning Methods (6 papers), Digital Storytelling and Education (5 papers) and Mobile Learning in Education (4 papers). The work is most often cited by research in Human-Computer Interaction (309 citations), Developmental and Educational Psychology (287 citations), Computer Science Applications (59 citations), Computer Vision and Pattern Recognition (206 citations) and Experimental and Cognitive Psychology (123 citations). David Birchfield has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Mina C. Johnson‐Glenberg, Lisa Tolentino, Colleen Megowan-Romanowicz, Gang Qian, Hari Sundaram, Aisling Kelliher, Christopher Martinez, Igor Dolgov, Winslow Burleson and Erica L. Snow. Their work appears in journals such as Organised Sound, Journal of Science Education and Technology, IEEE Signal Processing Magazine, Journal of Vision and Frontiers in Psychology.

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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