David Gerhard

634 citations
39 papers · 311 indexed · h-index 9

David Gerhard

32 papers receiving 266 citations

Peers

David Gerhard
Comparison fields: 5 of 80
  • Signal Processing 187
  • Computer Vision and Pattern Recognition 134
  • Human-Computer Interaction 28
  • Developmental Biology 9
  • Orthopedics and Sports Medicine 26
Replace Kristoffer Jensen with:
Kristoffer Jensen Denmark
Jerneja Žganec Gros Slovenia
Janto Skowronek Germany
Frederic Font Spain
Fernando Flores-Mangas Canada
Jordi Janer Spain
J. Saunders United Kingdom
Eric Castelli France
Nicolas d’Alessandro Belgium
Leif Johnson United States
David Gerhard relative to Kristoffer Jensen Denmark Kristoffer Jensen's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Gerhard

Since Specialization
Citations

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

Fields of papers citing papers by David Gerhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside David Gerhard, 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 Gerhard Line = papers co-authored together David Gerhard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 202018
3 201818
4
Appropriate Isomorphic Layout Determination Using 3-D Helix Lattices.
20171
5 20158
6 20130
7 20136
8 20120
9 20121
10
A GESTURAL INTERFACE FOR ORCHESTRAL CONDUCTING EDUCATION
20091
11 200621
12
Cross-Modal Parametric Composition
20044
13
Analysis and synthesis of the guqin -A chinese traditional instrument
20041
14
Silence as a cue to rhythm in the analysis of speech and song
20031
15
Pitch Extraction and Fundamental Frequency: History and Current Techniques
2003107
16
Pitch-based acoustic feature analysis for the discrimination of speech and monophonic singing
200210
17 20023
18
Audio Signal Classification: An Overview
20005
19
Audio Visualization in Phase Space
19997
20
Automatic Interval Naming Using Relative Pitch
19983

About David Gerhard

David Gerhard is a scholar working on Signal Processing, Human-Computer Interaction and Music, having authored 39 papers that have together received 311 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (22 papers), Music and Audio Processing (22 papers), Speech and Audio Processing (9 papers), Tactile and Sensory Interactions (7 papers), Neuroscience and Music Perception (6 papers), Interactive and Immersive Displays (5 papers), Balance, Gait, and Falls Prevention (2 papers) and Diverse Musicological Studies (2 papers). The work is most often cited by research in Signal Processing (187 citations), Computer Vision and Pattern Recognition (134 citations) and Human-Computer Interaction (28 citations). David Gerhard has collaborated with scholars based in Canada, Bahrain and Germany. Frequent co-authors include John M. Barden, Yang Zhao, Lijuan Peng, Clemens Markus Brahms, Daryl H. Hepting, Witold Kinsner, Xinglin Zhang, Ying Ding, Fidji Gendron and Megan L. Smith. Their work appears in journals such as Journal of Biomechanics, Gait & Posture, The Journal of the Acoustical Society of America, Computer Music Journal and PRESENCE Virtual and Augmented Reality.

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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