David C. Mountain
- Sensory Systems top 0.1%
- Cognitive Neuroscience top 1%
- Biomedical Engineering top 5%
- Neurology top 2%
- Speech and Hearing top 1%
- Co-authors
- Allyn E. HubbardK. Domenica KaravitakiElizabeth S. OlsonWilliam Ford DolphinThomas R. ConsiJelle AtemaA. R. CodyFrank W. Grasso
- Topics
- Hearing, Cochlea, Tinnitus, Genetics (54 papers)Hearing Loss and Rehabilitation (49 papers)Acoustic Wave Phenomena Research (21 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David C. Mountain
88 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 112
- Sensory Systems 1.6k
- Cognitive Neuroscience 1.4k
- Biomedical Engineering 522
- Neurology 461
- Speech and Hearing 258
Countries citing papers authored by David C. Mountain
This map shows the geographic impact of David C. Mountain'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 C. Mountain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Mountain more than expected).
Fields of papers citing papers by David C. Mountain
This network shows the impact of papers produced by David C. Mountain. 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 C. Mountain. The network helps show where David C. Mountain may publish in the future.
Co-authorship network of co-authors of David C. Mountain
This figure shows the co-authorship network connecting the top 25 collaborators of David C. Mountain. A scholar is included among the top collaborators of David C. Mountain 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 David C. Mountain. David C. Mountain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 52 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 79 | |
| 6 | 59 | |
| 7 | 46 | |
| 8 | 39 | |
| 9 | Auditory periphery and cochlear nucleus | 2 |
| 10 | 99 | |
| 11 | 7 | |
| 12 | Visualisation of 3D spectrum-images from multispectral surface analytical microscopy | 1 |
| 13 | 13 | |
| 14 | 26 | |
| 15 | 86 | |
| 16 | 35 | |
| 17 | 7 | |
| 18 | 69 | |
| 19 | 16 | |
| 20 | 2 |
About David C. Mountain
David C. Mountain is a scholar working on Sensory Systems, Developmental Biology and Cognitive Neuroscience, having authored 93 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (54 papers), Hearing Loss and Rehabilitation (49 papers) and Acoustic Wave Phenomena Research (21 papers). The work is most often cited by research in Sensory Systems (1.6k citations), Developmental Biology (168 citations) and Cognitive Neuroscience (1.4k citations). David C. Mountain has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Allyn E. Hubbard, K. Domenica Karavitaki, Elizabeth S. Olson, William Ford Dolphin, Thomas R. Consi, Jelle Atema, A. R. Cody, Frank W. Grasso, C. Daniel Geisler and Darlene R. Ketten. Their work appears in journals such as Science, The Journal of Comparative Neurology and Biophysical Journal.
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.