Naama Brenner
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
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- Neuroscience and Neural Engineering
- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
Papers in
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- Quantum chaos and dynamical systems 6
- stochastic dynamics and bifurcation 5
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- Neural dynamics and brain function 13
- Co-authors
- William BialekRob de Ruyter van SteveninckShimon MaromDanny EytanErez BraunRob R. de Ruyter van SteveninckR. KöberleSteven Strong
- Journals
- Physical Review Letters (4 papers)PLoS ONE (4 papers)Journal of Neuroscience (3 papers)Theoretical Population Biology (3 papers)Physical Biology (3 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Naama Brenner
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 112
- Cognitive Neuroscience 979
- Cellular and Molecular Neuroscience 628
- Statistical and Nonlinear Physics 247
- Sensory Systems 66
- Developmental Biology 23
Countries citing papers authored by Naama Brenner
This map shows the geographic impact of Naama Brenner'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 Naama Brenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naama Brenner more than expected).
Fields of papers citing papers by Naama Brenner
This network shows the impact of papers produced by Naama Brenner. 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 Naama Brenner. The network helps show where Naama Brenner may publish in the future.
Co-authors
The 25 scholars most cited alongside Naama Brenner, 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 | 2024 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 6 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 3 | |
| 9 | 2017 | 19 | |
| 10 | 2017 | 58 | |
| 11 | 2016 | 6 | |
| 12 | 2015 | 31 | |
| 13 | 2015 | 20 | |
| 14 | 2014 | 12 | |
| 15 | 2011 | 7 | |
| 16 | 2010 | 28 | |
| 17 | 2007 | 14 | |
| 18 | 2006 | 20 | |
| 19 | 2005 | 59 | |
| 20 | 2002 | 16 |
About Naama Brenner
Naama Brenner is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Genetics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (21 papers), Evolution and Genetic Dynamics (17 papers), Neural dynamics and brain function (13 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Quantum chaos and dynamical systems (6 papers), Evolutionary Game Theory and Cooperation (6 papers), stochastic dynamics and bifurcation (5 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Cognitive Neuroscience (979 citations), Cellular and Molecular Neuroscience (628 citations), Statistical and Nonlinear Physics (247 citations), Sensory Systems (66 citations) and Developmental Biology (23 citations). Naama Brenner has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include William Bialek, Rob de Ruyter van Steveninck, Shimon Marom, Danny Eytan, Erez Braun, Rob R. de Ruyter van Steveninck, R. Köberle, Steven Strong, Noam Ziv and Tali Dror. Their work appears in journals such as Physical Review Letters, PLoS ONE, Journal of Neuroscience, Theoretical Population Biology and Physical Biology.
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.