Nir Grossman
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- Neuroscience and Neural Engineering 27
- Photoreceptor and optogenetics research 22
- Neurology top 2%
- Neurological disorders and treatments 9
- Transcranial Magnetic Stimulation Studies 9
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 23
- EEG and Brain-Computer Interfaces 16
- Neurology top 5%
- Neurological disorders and treatments 9
- Transcranial Magnetic Stimulation Studies 9
- Biomedical Engineering top 10%
- Molecular Communication and Nanonetworks 5
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- Advanced Memory and Neural Computing 5
- Co-authors
- Konstantin NikolićPatrick DegenaarEdward S. BoydenAntonino M. CassaràEsra NeufeldÁlvaro Pascual‐LeoneNiels KusterJuan Burrone
- Journals
- Brain stimulation (10 papers)Nature Neuroscience (3 papers)Nature Communications (2 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Nir Grossman
50 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 1.2k
- Neurology 448
- Cognitive Neuroscience 838
- Neurology 292
- Biomedical Engineering 426
Countries citing papers authored by Nir Grossman
This map shows the geographic impact of Nir Grossman'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 Nir Grossman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Grossman more than expected).
Fields of papers citing papers by Nir Grossman
This network shows the impact of papers produced by Nir Grossman. 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 Nir Grossman. The network helps show where Nir Grossman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nir Grossman, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 47 | |
| 14 | 2021 | 70 | |
| 15 | 2020 | 11 | |
| 16 | Noninvasive Deep Brain Stimulation via Temporally Interfering Electric Fieldsbreakdown → | 2017 | 592 |
| 17 | 2012 | 12 | |
| 18 | 2012 | 40 | |
| 19 | 2009 | 85 | |
| 20 | 2007 | 17 |
About Nir Grossman
Nir Grossman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (27 papers), Neural dynamics and brain function (23 papers), Photoreceptor and optogenetics research (22 papers), EEG and Brain-Computer Interfaces (16 papers), Neurological disorders and treatments (9 papers), Transcranial Magnetic Stimulation Studies (9 papers), Advanced Memory and Neural Computing (5 papers) and Molecular Communication and Nanonetworks (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Neurology (448 citations) and Cognitive Neuroscience (838 citations). Nir Grossman has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Konstantin Nikolić, Patrick Degenaar, Edward S. Boyden, Antonino M. Cassarà, Esra Neufeld, Álvaro Pascual‐Leone, Niels Kuster, Juan Burrone, Li-Huei Tsai and Andrii Rudenko. Their work appears in journals such as Brain stimulation, Nature Neuroscience, Nature Communications, Journal of Neural Engineering and Optics Express.
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.