David Gerhard
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
-
- Music Technology and Sound Studies
Papers in
-
- Music and Audio Processing 26
- Speech and Audio Processing 11
-
- Music Technology and Sound Studies 25
- Co-authors
- Yang Zhao (5 shared papers)Lijuan Peng (4 shared papers)John M. Barden (4 shared papers)Clemens Markus Brahms (3 shared papers)Daryl H. Hepting (3 shared papers)Witold Kinsner (1 shared paper)Xinglin Zhang (1 shared paper)Robert J. Hilderman (1 shared paper)
In The Last Decade
David Gerhard
49 papers receiving 381 citations
Peers
Comparison fields: 5 of 92
- Signal Processing 222
- Computer Vision and Pattern Recognition 164
- Human-Computer Interaction 38
- Developmental Biology 9
- Cognitive Neuroscience 66
Countries citing papers authored by David Gerhard
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
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-authors
The 16 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.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pitch Extraction and Fundamental Frequency: History and Current Techniques | 2003 | 132 |
| 2 | 2022 | 34 | |
| 3 | 2006 | 29 | |
| 4 | Audio Signal Classification: History and Current Techniques | 2003 | 28 |
| 5 | 2018 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2009 | 17 | |
| 8 | 2008 | 14 | |
| 9 | Pitch-based acoustic feature analysis for the discrimination of speech and monophonic singing | 2002 | 11 |
| 10 | 2015 | 8 | |
| 11 | 2011 | 8 | |
| 12 | 2005 | 8 | |
| 13 | Audio Visualization in Phase Space | 1999 | 8 |
| 14 | 2013 | 7 | |
| 15 | 2007 | 7 | |
| 16 | Audio Signal Classification: An Overview | 2000 | 7 |
| 17 | 2002 | 6 | |
| 18 | 2008 | 5 | |
| 19 | 2006 | 5 | |
| 20 | 2018 | 5 |
About David Gerhard
David Gerhard is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience and Music, having authored 54 papers that have together received 432 indexed citations. Recurring topics across this work include Music and Audio Processing (26 papers), Music Technology and Sound Studies (25 papers), Speech and Audio Processing (11 papers), Interactive and Immersive Displays (7 papers), Tactile and Sensory Interactions (7 papers), Neuroscience and Music Perception (6 papers), Virtual Reality Applications and Impacts (5 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Signal Processing (222 citations), Computer Vision and Pattern Recognition (164 citations), Human-Computer Interaction (38 citations), Developmental Biology (9 citations) and Cognitive Neuroscience (66 citations). David Gerhard has collaborated with scholars based in Canada, Germany and Russia. Frequent co-authors include Yang Zhao, Lijuan Peng, John M. Barden, Clemens Markus Brahms, Daryl H. Hepting, Witold Kinsner, Xinglin Zhang, Robert J. Hilderman, Garrett Nicolai and Megan Lorraine Smith. Their work appears in journals such as PRESENCE Virtual and Augmented Reality, Journal of the Audio Engineering Society, Health Promotion and Chronic Disease Prevention in Canada, Computer Music Journal and Journal of Biomechanics.
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.