Amit Yaron
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Neuroscience and Music Perception
- Hearing Loss and Rehabilitation
- Visual perception and processing mechanisms
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
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- Neural dynamics and brain function 6
- Neuroscience and Music Perception 4
- Hearing Loss and Rehabilitation 2
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- Olfactory and Sensory Function Studies 1
- Hearing, Cochlea, Tinnitus, Genetics 1
- Co-authors
- Israel Nelken (4 shared papers)Tomohiko Takei (1 shared paper)Kazuhiko Seki (1 shared paper)Hiroaki Yaguchi (1 shared paper)David P. Kowalski (1 shared paper)Maciej M. Jankowski (1 shared paper)Hirokazu Takahashi (1 shared paper)Zenas C. Chao (4 shared papers)
- Journals
- PLoS ONE (2 papers)Frontiers in Neural Circuits (2 papers)Neuron (1 paper)Advances in experimental medicine and biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- JapanIsraelUnited States
In The Last Decade
Amit Yaron
7 papers receiving 366 citations
Peers
Comparison fields: 5 of 37
- Cognitive Neuroscience 343
- Sensory Systems 60
- Developmental Biology 21
- Experimental and Cognitive Psychology 66
- Cellular and Molecular Neuroscience 39
Countries citing papers authored by Amit Yaron
This map shows the geographic impact of Amit Yaron'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 Amit Yaron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Yaron more than expected).
Fields of papers citing papers by Amit Yaron
This network shows the impact of papers produced by Amit Yaron. 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 Amit Yaron. The network helps show where Amit Yaron may publish in the future.
Co-authors
The 12 scholars most cited alongside Amit Yaron, 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 | 2011 | 191 | |
| 2 | 2012 | 126 | |
| 3 | 2013 | 22 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 7 | |
| 6 | 2025 | 5 | |
| 7 | 2025 | 3 | |
| 8 | 2026 | 0 | |
| 9 | 2025 | 0 |
About Amit Yaron
Amit Yaron is a scholar working on Cognitive Neuroscience, Sensory Systems, Signal Processing, Artificial Intelligence and Biomedical Engineering, having authored 9 papers that have together received 369 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neuroscience and Music Perception (4 papers), Hearing Loss and Rehabilitation (2 papers), Neural Networks and Reservoir Computing (1 paper), Blind Source Separation Techniques (1 paper), Olfactory and Sensory Function Studies (1 paper), Fractal and DNA sequence analysis (1 paper) and Hearing, Cochlea, Tinnitus, Genetics (1 paper). The work is most often cited by research in Cognitive Neuroscience (343 citations), Sensory Systems (60 citations), Developmental Biology (21 citations), Experimental and Cognitive Psychology (66 citations) and Cellular and Molecular Neuroscience (39 citations). Amit Yaron has collaborated with scholars based in Japan, Israel and United States. Frequent co-authors include Israel Nelken, Tomohiko Takei, Kazuhiko Seki, Hiroaki Yaguchi, David P. Kowalski, Maciej M. Jankowski, Hirokazu Takahashi, Zenas C. Chao, Zhuo D. Zhang and Kenichi Ohki. Their work appears in journals such as PLoS ONE, Frontiers in Neural Circuits, Neuron, Advances in experimental medicine and biology and Proceedings of the National Academy of Sciences.
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.