Jay T. Rubinstein

8.0k citations
155 papers · 6.4k · 1 hit paper · h-index 48

Impact in

Papers in

Jay T. Rubinstein

149 papers receiving 6.2k citations

Jay T. Rubinstein's Hit Papers

Channel noise in neurons 2000 · 523 citations
5230+8+17Years since publication100200300400500

Peers

Jay T. Rubinstein
Comparison fields: 5 of 141
  • Sensory Systems 1.9k
  • Cognitive Neuroscience 4.5k
  • Speech and Hearing 952
  • Neurology 639
  • Otorhinolaryngology 224
Replace Paul J. Abbas with:
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Jay T. Rubinstein relative to Paul J. Abbas United States Paul J. Abbas's profile →
Citations per field
00.5×1.6×
Paul J. Abbas · 1×
Citations per year

Countries citing papers authored by Jay T. Rubinstein

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jay T. Rubinstein Line = papers co-authored together Jay T. Rubinstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Channel noise in neurons
Hit paper breakdown →
2000523
2
Residual speech recognition and cochlear implant performance: effects of implantation criteria.
1999244
3 1999240
4 2007234
5 1999210
6 2004147
7 2006147
8 1995140
9 2009136
10 2002130
11 1999127
12 2002118
13 2003108
14 2008105
15 2002100
16 201199
17 201395
18 199895
19 200392
20 200189

About Jay T. Rubinstein

Jay T. Rubinstein is a scholar working on Cognitive Neuroscience, Sensory Systems, Speech and Hearing, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 155 papers that have together received 6.4k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (94 papers), Hearing, Cochlea, Tinnitus, Genetics (48 papers), Noise Effects and Management (24 papers), Neuroscience and Neural Engineering (19 papers), Vestibular and auditory disorders (19 papers), Neural dynamics and brain function (16 papers), Speech and Audio Processing (16 papers) and Acoustic Wave Phenomena Research (11 papers). The work is most often cited by research in Sensory Systems (1.9k citations), Cognitive Neuroscience (4.5k citations), Speech and Hearing (952 citations), Neurology (639 citations) and Otorhinolaryngology (224 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.

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