Amit Marmelshtein
Impact in
- Cognitive Neuroscience top 10%
- Sleep and Wakefulness Research
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
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- Sleep and related disorders
- Sleep and Work-Related Fatigue
Papers in
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- Neural dynamics and brain function 6
- EEG and Brain-Computer Interfaces 5
- Sleep and Wakefulness Research 5
- Memory and Neural Mechanisms 1
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- Neuroscience and Neuropharmacology Research 3
- Photoreceptor and optogenetics research 1
- Co-authors
- Yuval Nir (8 shared papers)Itzhak Fried (3 shared papers)Giulio Tononi (1 shared paper)Thomas Andrillon (1 shared paper)Nanthia Suthana (1 shared paper)Chiara Cirelli (1 shared paper)Hanna Hayat (3 shared papers)Aaron J. Krom (3 shared papers)
- Journals
- Current Biology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Nature Medicine (1 paper)Nature Neuroscience (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Amit Marmelshtein
7 papers receiving 245 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 186
- Experimental and Cognitive Psychology 75
- Endocrine and Autonomic Systems 30
- Cellular and Molecular Neuroscience 47
- Sensory Systems 8
Countries citing papers authored by Amit Marmelshtein
This map shows the geographic impact of Amit Marmelshtein'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 Marmelshtein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Marmelshtein more than expected).
Fields of papers citing papers by Amit Marmelshtein
This network shows the impact of papers produced by Amit Marmelshtein. 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 Marmelshtein. The network helps show where Amit Marmelshtein may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Marmelshtein, 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 | 2017 | 138 | |
| 2 | 2020 | 37 | |
| 3 | 2020 | 33 | |
| 4 | 2022 | 31 | |
| 5 | 2023 | 5 | |
| 6 | 2021 | 4 | |
| 7 | 2025 | 2 | |
| 8 | 2025 | 0 |
About Amit Marmelshtein
Amit Marmelshtein is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology, Sensory Systems and Infectious Diseases, having authored 8 papers that have together received 250 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (5 papers), Sleep and Wakefulness Research (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Memory and Neural Mechanisms (1 paper), Sleep and related disorders (1 paper), Sleep and Work-Related Fatigue (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Cognitive Neuroscience (186 citations), Experimental and Cognitive Psychology (75 citations), Endocrine and Autonomic Systems (30 citations), Cellular and Molecular Neuroscience (47 citations) and Sensory Systems (8 citations). Amit Marmelshtein has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Yuval Nir, Itzhak Fried, Giulio Tononi, Thomas Andrillon, Nanthia Suthana, Chiara Cirelli, Hanna Hayat, Aaron J. Krom, Ariel Tankus and Firas Fahoum. Their work appears in journals such as Current Biology, Proceedings of the National Academy of Sciences, Nature Medicine, Nature Neuroscience and Journal of Neuroscience.
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.