Michael Nevat
Impact in
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- Reading and Literacy Development
- Language Development and Disorders
- Cognitive Neuroscience top 10%
- Neurobiology of Language and Bilingualism
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
Papers in
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- Neural and Behavioral Psychology Studies 6
- Neurobiology of Language and Bilingualism 5
- EEG and Brain-Computer Interfaces 4
- Functional Brain Connectivity Studies 4
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- Reading and Literacy Development 6
- Language Development and Disorders 4
Michael Nevat
21 papers receiving 304 citations
Peers
Comparison fields: 5 of 53
- Developmental and Educational Psychology 142
- Cognitive Neuroscience 189
- Experimental and Cognitive Psychology 67
- Social Psychology 89
- Statistics and Probability 31
Countries citing papers authored by Michael Nevat
This map shows the geographic impact of Michael Nevat'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 Michael Nevat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Nevat more than expected).
Fields of papers citing papers by Michael Nevat
This network shows the impact of papers produced by Michael Nevat. 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 Michael Nevat. The network helps show where Michael Nevat may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Michael Nevat, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 24 | |
| 12 | 2020 | 13 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 14 | |
| 15 | 2018 | 5 | |
| 16 | 2018 | 20 | |
| 17 | 2016 | 24 | |
| 18 | 2013 | 74 | |
| 19 | 2009 | 4 | |
| 20 | 2009 | 19 |
About Michael Nevat
Michael Nevat is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Social Psychology, Applied Psychology and Experimental and Cognitive Psychology, having authored 21 papers that have together received 314 indexed citations. Recurring topics across this work include Reading and Literacy Development (6 papers), Neural and Behavioral Psychology Studies (6 papers), Neurobiology of Language and Bilingualism (5 papers), Action Observation and Synchronization (4 papers), EEG and Brain-Computer Interfaces (4 papers), Functional Brain Connectivity Studies (4 papers), Language Development and Disorders (4 papers) and Psychosomatic Disorders and Their Treatments (3 papers). The work is most often cited by research in Developmental and Educational Psychology (142 citations), Cognitive Neuroscience (189 citations), Experimental and Cognitive Psychology (67 citations), Social Psychology (89 citations) and Statistics and Probability (31 citations). Michael Nevat has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Simone Shamay‐Tsoory, Asaid Khateb, Shelley Shaul, Zvia Breznitz, Anat Prior, Avi Karni, Tzipi Horowitz‐Kraus, Itamar Sela, Zohar Eviatar and Tali Bitan. Their work appears in journals such as NeuroImage, Cerebral Cortex, Cortex, Scientific Reports and Emotion.
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.