Jay T. Rubinstein
Impact in
- Sensory Systems top 0.05%
- Hearing, Cochlea, Tinnitus, Genetics
- Cognitive Neuroscience top 0.2%
- Hearing Loss and Rehabilitation
- Neural dynamics and brain function
Papers in
-
- Hearing, Cochlea, Tinnitus, Genetics 70
-
- Hearing Loss and Rehabilitation 97
- Neural dynamics and brain function 16
- Co-authors
- Ward R. DrennanJong-Ho WonBruce J. GantzPaul J. AbbasJohn A. WhiteAlan R. KayRichard S. TylerCharles A. Miller
- Journals
- Otology & Neurotology (20 papers)Hearing Research (15 papers)The Journal of the Acoustical Society of America (13 papers)IEEE Transactions on Biomedical Engineering (11 papers)Ear and Hearing (9 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Jay T. Rubinstein
146 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 144
- Sensory Systems 2.6k
- Cognitive Neuroscience 4.7k
- Speech and Hearing 1.6k
- Otorhinolaryngology 414
- Neurology 685
Countries citing papers authored by Jay T. Rubinstein
This map shows the geographic impact of Jay T. Rubinstein'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 Jay T. Rubinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay T. Rubinstein more than expected).
Fields of papers citing papers by Jay T. Rubinstein
This network shows the impact of papers produced by Jay T. Rubinstein. 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 Jay T. Rubinstein. The network helps show where Jay T. Rubinstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jay T. Rubinstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2023 | 20 | |
| 3 | 2020 | 38 | |
| 4 | 2017 | 35 | |
| 5 | 2016 | 4 | |
| 6 | 2015 | 19 | |
| 7 | 2014 | 6 | |
| 8 | 2013 | 6 | |
| 9 | 2013 | 65 | |
| 10 | 2012 | 66 | |
| 11 | 2011 | 31 | |
| 12 | 2011 | 95 | |
| 13 | 2009 | 130 | |
| 14 | 2009 | 19 | |
| 15 | 2009 | 8 | |
| 16 | 2007 | 8 | |
| 17 | 2006 | 16 | |
| 18 | 2004 | 17 | |
| 19 | Cochlear modeling and visualization on the Internet | 1999 | 2 |
| 20 | 1998 | 91 |
About Jay T. Rubinstein
Jay T. Rubinstein is a scholar working on Sensory Systems, Cognitive Neuroscience, Speech and Hearing, Neurology and Signal Processing, having authored 152 papers that have together received 6.1k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (97 papers), Hearing, Cochlea, Tinnitus, Genetics (70 papers), Noise Effects and Management (38 papers), Speech and Audio Processing (23 papers), Neuroscience and Neural Engineering (19 papers), Vestibular and auditory disorders (19 papers), Neural dynamics and brain function (16 papers) and Acoustic Wave Phenomena Research (13 papers). The work is most often cited by research in Sensory Systems (2.6k citations), Cognitive Neuroscience (4.7k citations), Speech and Hearing (1.6k citations), Otorhinolaryngology (414 citations) and Neurology (685 citations). Jay T. Rubinstein has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Ward R. Drennan, Jong-Ho Won, Bruce J. Gantz, Paul J. Abbas, John A. White, Alan R. Kay, Richard S. Tyler, Charles A. Miller, Kaibao Nie and Wendy Parkinson. Their work appears in journals such as Otology & Neurotology, Hearing Research, The Journal of the Acoustical Society of America, IEEE Transactions on Biomedical Engineering 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.