David C. Mountain

88 papers receiving 2.0k citations

Peers

David C. Mountain
Comparison fields: 5 of 112
  • Sensory Systems 1.5k
  • Developmental Biology 166
  • Cognitive Neuroscience 1.3k
  • Neurology 449
  • Speech and Hearing 245
Replace Glenis R. Long with:
Glenis R. Long United States
B. M. Johnstone Australia
Luis Robles Chile
Manfred Kössl Germany
Graeme K. Yates Australia
P.M. Sellick Australia
Anthony W. Gummer Germany
C. Daniel Geisler United States
J. P. Wilson United Kingdom
Eric Javel United States
David C. Mountain relative to Glenis R. Long United States Glenis R. Long's profile →
Citations per field
00.5×1.5×
Glenis R. Long · 1×
Citations per year

Countries citing papers authored by David C. Mountain

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside David C. Mountain, 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 C. Mountain Line = papers co-authored together David C. Mountain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980358
2 2000146
3 199899
4 200493
5 199287
6 198386
7 200779
8 199475
9 198969
10 199160
11 200759
12 199454
13 199552
14 201352
15 200146
16 200644
17 199939
18 199336
19 199035
20 200728

About David C. Mountain

David C. Mountain is a scholar working on Sensory Systems, Cognitive Neuroscience, Biomedical Engineering, Ecology and Developmental Biology, 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), Acoustic Wave Phenomena Research (21 papers), Marine animal studies overview (15 papers), Noise Effects and Management (13 papers), Animal Vocal Communication and Behavior (13 papers), Underwater Acoustics Research (12 papers) and Vestibular and auditory disorders (8 papers). The work is most often cited by research in Sensory Systems (1.5k citations), Developmental Biology (166 citations), Cognitive Neuroscience (1.3k citations), Neurology (449 citations) and Speech and Hearing (245 citations). David C. Mountain has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Allyn E. Hubbard, K. Domenica Karavitaki, Elizabeth S. Olson, William Ford Dolphin, Jelle Atema, Thomas R. Consi, Frank W. Grasso, A. R. Cody, C. Daniel Geisler and Darlene R. Ketten. Their work appears in journals such as The Journal of the Acoustical Society of America, Hearing Research, Biological Bulletin, Advances in experimental medicine and biology and Science.

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.

Explore authors with similar magnitude of impact