Jont B. Allen

10.6k total citations · 4 hit papers
128 papers, 7.4k citations indexed

About

Jont B. Allen is a scholar working on Cognitive Neuroscience, Signal Processing and Sensory Systems. According to data from OpenAlex, Jont B. Allen has authored 128 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cognitive Neuroscience, 51 papers in Signal Processing and 32 papers in Sensory Systems. Recurrent topics in Jont B. Allen's work include Hearing Loss and Rehabilitation (76 papers), Speech and Audio Processing (49 papers) and Hearing, Cochlea, Tinnitus, Genetics (32 papers). Jont B. Allen is often cited by papers focused on Hearing Loss and Rehabilitation (76 papers), Speech and Audio Processing (49 papers) and Hearing, Cochlea, Tinnitus, Genetics (32 papers). Jont B. Allen collaborates with scholars based in United States, Germany and South Korea. Jont B. Allen's co-authors include D. A. Berkley, L. R. Rabiner, W. O. Johnson, Sandeep A. Phatak, Susan E. Voss, Sunil Puria, P. F. Fahey, Patricia S. Jeng, Feipeng Li and J. L. Hall and has published in prestigious journals such as Advanced Materials, Physics Today and Proceedings of the IEEE.

In The Last Decade

Jont B. Allen

124 papers receiving 6.8k citations

Hit Papers

Image method for efficiently simulating small-room acoustics 1970 2026 1988 2007 1979 1977 1977 1970 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jont B. Allen United States 33 4.2k 2.8k 1.8k 1.3k 1.1k 128 7.4k
Philipos C. Loizou United States 45 8.9k 2.1× 5.8k 2.1× 4.2k 2.3× 1.5k 1.2× 1.1k 1.0× 135 10.7k
Eberhard Zwicker Germany 36 2.1k 0.5× 3.8k 1.4× 513 0.3× 1.2k 1.0× 1.7k 1.5× 102 6.9k
Birger Kollmeier Germany 44 4.3k 1.0× 6.6k 2.4× 774 0.4× 751 0.6× 2.2k 2.0× 323 8.3k
Stephen N. Elliott United Kingdom 58 3.8k 0.9× 1.7k 0.6× 4.7k 2.6× 4.9k 3.9× 429 0.4× 468 12.4k
Thomas F. Quatieri United States 40 6.3k 1.5× 1.1k 0.4× 1.0k 0.6× 492 0.4× 127 0.1× 216 10.7k
Don H. Johnson United States 29 1.6k 0.4× 1.4k 0.5× 565 0.3× 764 0.6× 612 0.5× 162 5.4k
James L. Flanagan United States 32 3.5k 0.8× 766 0.3× 1.3k 0.7× 667 0.5× 142 0.1× 197 5.8k
Brian C. J. Moore United Kingdom 68 6.6k 1.6× 16.8k 6.1× 816 0.5× 1.6k 1.3× 7.5k 6.6× 367 19.2k
R. Plomp Netherlands 45 3.9k 0.9× 7.4k 2.7× 298 0.2× 620 0.5× 2.3k 2.0× 105 9.0k
Harry Levitt United States 29 1.8k 0.4× 6.7k 2.4× 196 0.1× 429 0.3× 1.8k 1.5× 143 7.9k

Countries citing papers authored by Jont B. Allen

Since Specialization
Citations

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

Fields of papers citing papers by Jont B. Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jont B. Allen. 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 Jont B. Allen. The network helps show where Jont B. Allen may publish in the future.

Co-authorship network of co-authors of Jont B. Allen

This figure shows the co-authorship network connecting the top 25 collaborators of Jont B. Allen. A scholar is included among the top collaborators of Jont B. Allen 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 Jont B. Allen. Jont B. Allen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Allen, Jont B., et al.. (2017). Assessing the efficacy of hearing-aid amplification using a phoneme test. The Journal of the Acoustical Society of America. 141(3). 1739–1748. 8 indexed citations
2.
Allen, Jont B., et al.. (2017). Evaluating hearing aid amplification using idiosyncratic consonant errors. The Journal of the Acoustical Society of America. 142(6). 3736–3745. 2 indexed citations
3.
Poon, Emily, et al.. (2014). Developmental PCB exposure increases susceptibility to audiogenic seizures in adulthood. NeuroToxicology. 46. 117–124. 14 indexed citations
4.
Allen, Jont B., et al.. (2013). Effects of NALR on consonant-vowel perception. 4. 373–380. 2 indexed citations
5.
Allen, Jont B., et al.. (2013). Systematic groupings in hearing-impaired consonant perception. 4. 381–388. 1 indexed citations
6.
Allen, Jont B. & Woojae Han. (2013). Sources of decoding errors of the perceptual cues, in normal and hearing impaired ears. 3. 495–510.
7.
Neely, Stephen T., Judy G. Kopun, Daniel M. Rasetshwane, et al.. (2013). Effect of Calibration Method on Distortion-Product Otoacoustic Emission Measurements at and Around 4 kHz. Ear and Hearing. 34(6). 779–788. 12 indexed citations
8.
Kim, Noori & Jont B. Allen. (2013). Two-port network analysis and modeling of a balanced armature receiver. Hearing Research. 301. 156–167. 19 indexed citations
9.
Nguyen, Cac T., Sarah Robinson, Woonggyu Jung, et al.. (2013). Investigation of bacterial biofilm in the human middle ear using optical coherence tomography and acoustic measurements. Hearing Research. 301. 193–200. 41 indexed citations
10.
Allen, Jont B., et al.. (2012). Speech perception and hearing loss. The Volta Review. 112(2). 156–166. 2 indexed citations
11.
Han, Woojae & Jont B. Allen. (2011). A Relationship of Speech Perception and Amplification forHearing-Impaired Listeners. Audiology and Speech Research. 7(2). 133–144. 1 indexed citations
12.
Allen, Jont B., et al.. (2009). Time-domain “wave” model of the human tympanic membrane. Hearing Research. 263(1-2). 152–167. 25 indexed citations
13.
Sen, D. & Jont B. Allen. (2006). Functionality of cochlear micromechanics - As elucidated by upward spread of masking and two tone suppression. Acoustics Australia. 34(1). 37–42. 7 indexed citations
14.
Allen, Jont B., Patricia S. Jeng, & Harry Levitt. (2005). Evaluation of human middle ear function via an acoustic power assessment. The Journal of Rehabilitation Research and Development. 42(4s). 63–63. 80 indexed citations
15.
Allen, Jont B.. (2005). Articulation and Intelligibility. 46 indexed citations
16.
Saul, Lawrence K., Mazin G. Rahim, & Jont B. Allen. (2001). A statistical model for robust integration of narrowband cues in speech. Computer Speech & Language. 15(2). 175–194. 12 indexed citations
17.
Saul, Lawrence K. & Jont B. Allen. (2000). Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech. Neural Information Processing Systems. 13. 807–813. 23 indexed citations
18.
Allen, Jont B. & Stephen T. Neely. (1997). Modeling the relation between the intensity just-noticeable difference and loudness for pure tones and wideband noise. The Journal of the Acoustical Society of America. 102(6). 3628–3646. 30 indexed citations
19.
Allen, Jont B. & M. M. Sondhi. (1979). Cochlear macromechanics: Time domain solutions. The Journal of the Acoustical Society of America. 66(1). 123–132. 65 indexed citations
20.
Allen, Jont B.. (1977). Cochlear micromechanics—a mechanism for transforming mechanical to neural tuning within the cochlea. The Journal of the Acoustical Society of America. 62(4). 930–939. 28 indexed citations

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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