D. C. Teas

1.4k citations
40 papers · 1.0k · h-index 15

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
    • Hearing Loss and Rehabilitation
    • Neural dynamics and brain function
    • Neuroscience and Music Perception

Papers in

    • Hearing Loss and Rehabilitation 26
    • Neural dynamics and brain function 12
    • Neuroscience and Music Perception 4
    • Hearing, Cochlea, Tinnitus, Genetics 16

D. C. Teas

40 papers receiving 926 citations

Peers

D. C. Teas
Comparison fields: 5 of 81
  • Sensory Systems 527
  • Cognitive Neuroscience 854
  • Speech and Hearing 230
  • Developmental Biology 68
  • Neurology 85
Replace E. C. Moxon with:
E. C. Moxon United States
Ben M. Clopton United States
George Moushegian United States
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Evan M. Relkin United States
Bruce H. Deatherage United States
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Gordon Flottorp Norway
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Citations per field
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E. C. Moxon · 1×
Citations per year

Countries citing papers authored by D. C. Teas

Since Specialization
Citations

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

Fields of papers citing papers by D. C. Teas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. C. Teas. 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 D. C. Teas. The network helps show where D. C. Teas may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1962224
2 1957172
3 196481
4 195573
5 197657
6 197844
7 198240
8 197239
9 197034
10 197033
11 198231
12 198529
13 198320
14 197917
15 197516
16 197814
17
The effects of acoustic orientation cues on instrument flight performance in a flight simulator.
199012
18 196211
19 197410
20 19669

About D. C. Teas

D. C. Teas is a scholar working on Cognitive Neuroscience, Sensory Systems, Speech and Hearing, Biomedical Engineering and Developmental Biology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (26 papers), Hearing, Cochlea, Tinnitus, Genetics (16 papers), Neural dynamics and brain function (12 papers), Noise Effects and Management (10 papers), Acoustic Wave Phenomena Research (7 papers), Neuroscience and Music Perception (4 papers), Animal Vocal Communication and Behavior (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Sensory Systems (527 citations), Cognitive Neuroscience (854 citations), Speech and Hearing (230 citations), Developmental Biology (68 citations) and Neurology (85 citations). D. C. Teas has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Donald H. Eldredge, Hallowell Davis, W. E. Feddersen, T. T. Sandel, Lloyd A. Jeffress, N. Y-S. Kiang, S.J. Kramer, Alan J. Klein, T. Konishi and D. A. Benson. Their work appears in journals such as The Journal of the Acoustical Society of America, Acta Oto-Laryngologica, Hearing Research, Experimental Neurology and Annual Review of 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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