Amir Aschner
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
Papers in
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- Neural dynamics and brain function 4
- Visual perception and processing mechanisms 4
- EEG and Brain-Computer Interfaces 1
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Adam Kohn (3 shared papers)Ruben Coen-Cagli (2 shared papers)Christian K. Machens (1 shared paper)Byron M. Yu (1 shared paper)João D. Semedo (1 shared paper)Amin Zandvakili (1 shared paper)Michael S. Landy (1 shared paper)Samuel G. Solomon (1 shared paper)
- Journals
- Nature Communications (2 papers)eLife (1 paper)BMJ Open (1 paper)Journal of Neuroscience (1 paper)Frontiers in Neurology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Amir Aschner
7 papers receiving 132 citations
Peers
Comparison fields: 5 of 37
- Cognitive Neuroscience 112
- Cellular and Molecular Neuroscience 40
- Sensory Systems 7
- Biophysics 5
- Experimental and Cognitive Psychology 10
Countries citing papers authored by Amir Aschner
This map shows the geographic impact of Amir Aschner'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 Amir Aschner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Aschner more than expected).
Fields of papers citing papers by Amir Aschner
This network shows the impact of papers produced by Amir Aschner. 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 Amir Aschner. The network helps show where Amir Aschner may publish in the future.
Co-authors
The 24 scholars most cited alongside Amir Aschner, 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 | 2022 | 64 | |
| 2 | 2021 | 39 | |
| 3 | 2018 | 12 | |
| 4 | 2021 | 6 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 1 |
About Amir Aschner
Amir Aschner is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Molecular Biology and Social Psychology, having authored 7 papers that have together received 132 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (4 papers), Epilepsy research and treatment (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Olfactory and Sensory Function Studies (1 paper), Cell Image Analysis Techniques (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cognitive Neuroscience (112 citations), Cellular and Molecular Neuroscience (40 citations), Sensory Systems (7 citations), Biophysics (5 citations) and Experimental and Cognitive Psychology (10 citations). Amir Aschner has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Adam Kohn, Ruben Coen-Cagli, Christian K. Machens, Byron M. Yu, João D. Semedo, Amin Zandvakili, Michael S. Landy, Samuel G. Solomon, David J. Heeger and Andrew S. Williams. Their work appears in journals such as Nature Communications, eLife, BMJ Open, Journal of Neuroscience and Frontiers in Neurology.
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.