Nir Grossman

3.0k total citations · 2 hit papers
55 papers, 1.9k citations indexed

About

Nir Grossman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Nir Grossman has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 32 papers in Cellular and Molecular Neuroscience and 10 papers in Neurology. Recurrent topics in Nir Grossman's work include Neuroscience and Neural Engineering (27 papers), Neural dynamics and brain function (23 papers) and Photoreceptor and optogenetics research (22 papers). Nir Grossman is often cited by papers focused on Neuroscience and Neural Engineering (27 papers), Neural dynamics and brain function (23 papers) and Photoreceptor and optogenetics research (22 papers). Nir Grossman collaborates with scholars based in United Kingdom, United States and Switzerland. Nir Grossman's co-authors include Konstantin Nikolić, Patrick Degenaar, Edward S. Boyden, Antonino M. Cassarà, Esra Neufeld, Álvaro Pascual‐Leone, Niels Kuster, Juan Burrone, Ho-Jun Suk and Suhasa B. Kodandaramaiah and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Nir Grossman

50 papers receiving 1.9k citations

Hit Papers

Noninvasive Deep Brain Stimulation via Temporally Interfe... 2017 2026 2020 2023 2017 2023 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nir Grossman United Kingdom 17 1.2k 838 448 426 292 55 1.9k
Suhasa B. Kodandaramaiah United States 18 1.1k 0.9× 752 0.9× 283 0.6× 339 0.8× 165 0.6× 48 1.7k
Sotiris C. Masmanidis United States 21 1.2k 1.0× 1.2k 1.5× 183 0.4× 242 0.6× 76 0.3× 40 2.3k
Marco Pelizzone Switzerland 28 468 0.4× 1.7k 2.0× 485 1.1× 155 0.4× 49 0.2× 92 2.5k
Antonino M. Cassarà Switzerland 18 585 0.5× 598 0.7× 423 0.9× 290 0.7× 280 1.0× 44 1.3k
Mihály Vöröslakos United States 13 692 0.6× 792 0.9× 576 1.3× 248 0.6× 121 0.4× 29 1.3k
Ho-Jun Suk United States 6 636 0.5× 566 0.7× 389 0.9× 254 0.6× 171 0.6× 7 1.3k
Jennifer N. Gelinas United States 23 2.1k 1.7× 1.4k 1.7× 154 0.3× 819 1.9× 105 0.4× 51 3.4k
Ilker Ozden United States 17 720 0.6× 483 0.6× 267 0.6× 243 0.6× 18 0.1× 29 1.2k
Xiaobin He China 24 673 0.5× 616 0.7× 69 0.2× 323 0.8× 59 0.2× 90 2.1k
Wim Rutten Netherlands 28 1.6k 1.3× 1.3k 1.6× 94 0.2× 900 2.1× 53 0.2× 130 2.4k

Countries citing papers authored by Nir Grossman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Nir Grossman

This figure shows the co-authorship network connecting the top 25 collaborators of Nir Grossman. A scholar is included among the top collaborators of Nir Grossman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nir Grossman. Nir Grossman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
King, Bradley R., Latifa Lazzouni, Gaëlle Leroux, et al.. (2025). Unraveling the neurophysiological correlates of phase-specific enhancement of motor memory consolidation via slow-wave closed-loop targeted memory reactivation. Nature Communications. 16(1). 2644–2644. 2 indexed citations
2.
Olgiati, Elena, Inês R. Violante, Lucia M. Li, et al.. (2024). Targeted non-invasive brain stimulation boosts attention and modulates contralesional brain networks following right hemisphere stroke. NeuroImage Clinical. 42. 103599–103599. 1 indexed citations
3.
Johnson, Emily L., Rolando Berlinguer‐Palmini, Ahmed Soltan, et al.. (2024). Optogenetic Multiphysical Fields Coupling Model for Implantable Neuroprosthetic Probes. IEEE Access. 12. 129160–129172.
4.
Peach, Robert L., Emma‐Jane Mallas, E. J. Rhodes, et al.. (2024). The neuron mixer and its impact on human brain dynamics. Cell Reports. 43(6). 114274–114274. 7 indexed citations
5.
Jaramillo, Valeria, et al.. (2024). A closed-loop auditory stimulation approach selectively modulates alpha oscillations and sleep onset dynamics in humans. PLoS Biology. 22(6). e3002651–e3002651. 4 indexed citations
6.
Rintoul, Jean, Esra Neufeld, Christopher Butler, Robin O. Cleveland, & Nir Grossman. (2023). Remote focused encoding and decoding of electric fields through acoustoelectric heterodyning. Communications Physics. 6(1). 2 indexed citations
7.
Zhu, Xiaoqi, Jonathon Howard, Adam Williamson, et al.. (2023). Temporal interference stimulation evoked neural local field potential oscillations in-vivo. Brain stimulation. 16(2). 3–3. 1 indexed citations
8.
Violante, Inês R., et al.. (2023). Non‐Invasive Temporal Interference Hippocampal Stimulation in Early Alzheimer’s Disease. Alzheimer s & Dementia. 19(S21). 2 indexed citations
9.
Acerbo, Emma, et al.. (2023). Pulse-width modulated temporal interference (PWM-TI) brain stimulation. Brain stimulation. 17(1). 92–103. 16 indexed citations
10.
11.
Grossman, Nir. (2023). Principles, preclinical validation, and mechanism of TI brain stimulation. Brain stimulation. 16(1). 122–123. 1 indexed citations
12.
Acerbo, Emma, Aude Jegou, Boris Botzanowski, et al.. (2022). Focal non-invasive deep-brain stimulation with temporal interference for the suppression of epileptic biomarkers. Frontiers in Neuroscience. 16. 945221–945221. 47 indexed citations
13.
Schreglmann, Sebastian R., David Wang, Robert L. Peach, et al.. (2021). Non-invasive suppression of essential tremor via phase-locked disruption of its temporal coherence. Nature Communications. 12(1). 363–363. 70 indexed citations
14.
Violante, Inês R., et al.. (2020). Patterns of Focal- and Large-Scale Synchronization in Cognitive Control and Inhibition: A Review. Frontiers in Human Neuroscience. 14. 196–196. 11 indexed citations
15.
Grossman, Nir, David Bono, Nina Dedic, et al.. (2017). Noninvasive Deep Brain Stimulation via Temporally Interfering Electric Fields. Cell. 169(6). 1029–1041.e16. 592 indexed citations breakdown →
16.
Davies, Nigel P., et al.. (2012). Theoretical investigation of transcranial alternating current stimulation using laminar model. PubMed. 120. 4152–4155. 4 indexed citations
17.
Grossman, Nir, Konstantin Nikolić, C. Toumazou, & Patrick Degenaar. (2011). Modeling Study of the Light Stimulation of a Neuron Cell With Channelrhodopsin-2 Mutants. IEEE Transactions on Biomedical Engineering. 58(6). 1742–1751. 90 indexed citations
18.
Degenaar, Patrick, Nir Grossman, Muhammad Ali Memon, et al.. (2009). Optobionic vision—a new genetically enhanced light on retinal prosthesis. Journal of Neural Engineering. 6(3). 35007–35007. 85 indexed citations
19.
Nikolić, Konstantin, Nir Grossman, Matthew S. Grubb, et al.. (2009). Photocycles of Channelrhodopsin‐2. Photochemistry and Photobiology. 85(1). 400–411. 167 indexed citations
20.
Poher, V., Nir Grossman, Gordon T. Kennedy, et al.. (2008). Micro-LED arrays: a tool for two-dimensional neuron stimulation. Journal of Physics D Applied Physics. 41(9). 94014–94014. 108 indexed citations

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.

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