Mead C. Killion
- Cognitive Neuroscience top 1%
- Speech and Hearing top 0.2%
- Sensory Systems top 0.5%
- Signal Processing top 2%
- Otorhinolaryngology top 2%
- Co-authors
- Lawrence J. RevitShilpi BanerjeeJulia Doswell RoysterLarry H. RoysterRichard L. GoodeKeisuke NakamuraS NishiharaE. H. Berger
- Topics
- Hearing Loss and Rehabilitation (32 papers)Speech and Audio Processing (24 papers)Noise Effects and Management (21 papers)
- Journals
- The Journal of the Acoustical Society of AmericaJournal of Speech Language and Hearing ResearchEar and Hearing
- Partner nations
- United States
In The Last Decade
Mead C. Killion
61 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 1.6k
- Speech and Hearing 987
- Sensory Systems 799
- Signal Processing 449
- Otorhinolaryngology 183
Countries citing papers authored by Mead C. Killion
This map shows the geographic impact of Mead C. Killion'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 Mead C. Killion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mead C. Killion more than expected).
Fields of papers citing papers by Mead C. Killion
This network shows the impact of papers produced by Mead C. Killion. 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 Mead C. Killion. The network helps show where Mead C. Killion may publish in the future.
Co-authorship network of co-authors of Mead C. Killion
This figure shows the co-authorship network connecting the top 25 collaborators of Mead C. Killion. A scholar is included among the top collaborators of Mead C. Killion 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 Mead C. Killion. Mead C. Killion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 26 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | New knowledge about the function of the human middle ear: development of an improved analog model. | 119 |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 107 | |
| 11 | 4 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | Equalization Filter for Eardrum-Pressure Recording Using a KEMAR Manikin | 15 |
| 18 | Vibration Sensitivity Measurements on Subminiature Condenser Microphones | 4 |
| 19 | A Subminiature Electret-Condenser Microphone of New Design | 3 |
| 20 | Subminiature Directional Microphones | 4 |
About Mead C. Killion
Mead C. Killion is a scholar working on Speech and Hearing, Signal Processing and Cognitive Neuroscience, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (32 papers), Speech and Audio Processing (24 papers) and Noise Effects and Management (21 papers). The work is most often cited by research in Sensory Systems (799 citations), Speech and Hearing (987 citations) and Cognitive Neuroscience (1.6k citations). Mead C. Killion has collaborated with scholars based in United States. Frequent co-authors include Lawrence J. Revit, Shilpi Banerjee, Julia Doswell Royster, Larry H. Royster, Richard L. Goode, Keisuke Nakamura, S Nishihara, E. H. Berger, Laura Ann Wilber and Arlene C. Neuman. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Speech Language and Hearing Research and Ear and Hearing.
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.