Merav Stern
Impact in
- Sensory Systems top 10%
- Olfactory and Sensory Function Studies
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
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- Neural dynamics and brain function 6
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- Neurobiology and Insect Physiology Research 4
- Neuroscience and Neural Engineering 1
- Co-authors
- Johnatan Aljadeff (4 shared papers)Tatyana O. Sharpee (3 shared papers)Haim Sompolinsky (1 shared paper)L. F. Abbott (1 shared paper)Kevin M. Franks (1 shared paper)Kevin A. Bolding (1 shared paper)David Renfrew (1 shared paper)Martin Paul Nawrot (1 shared paper)
- Journals
- BMC Neuroscience (3 papers)eLife (2 papers)iScience (1 paper)Cell Reports (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
Merav Stern
10 papers receiving 269 citations
Peers
Comparison fields: 5 of 48
- Sensory Systems 46
- Cognitive Neuroscience 150
- Statistical and Nonlinear Physics 92
- Cellular and Molecular Neuroscience 90
- Statistics and Probability 28
Countries citing papers authored by Merav Stern
This map shows the geographic impact of Merav Stern'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 Merav Stern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merav Stern more than expected).
Fields of papers citing papers by Merav Stern
This network shows the impact of papers produced by Merav Stern. 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 Merav Stern. The network helps show where Merav Stern may publish in the future.
Co-authors
The 21 scholars most cited alongside Merav Stern, 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 | 2015 | 89 | |
| 2 | 2014 | 67 | |
| 3 | 2018 | 36 | |
| 4 | 2017 | 24 | |
| 5 | EIGENVALUES OF BLOCK STRUCTURED ASYMMETRIC RANDOM MATRICES | 2016 | 15 |
| 6 | 2020 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2021 | 8 | |
| 9 | 2014 | 4 | |
| 10 | 2014 | 3 | |
| 11 | 2011 | 0 |
About Merav Stern
Merav Stern is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence and Sensory Systems, having authored 11 papers that have together received 270 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neurobiology and Insect Physiology Research (4 papers), Neural Networks and Applications (4 papers), stochastic dynamics and bifurcation (4 papers), Olfactory and Sensory Function Studies (3 papers), Advanced Memory and Neural Computing (2 papers), Neuroscience and Neural Engineering (1 paper) and Nonlinear Dynamics and Pattern Formation (1 paper). The work is most often cited by research in Sensory Systems (46 citations), Cognitive Neuroscience (150 citations), Statistical and Nonlinear Physics (92 citations), Cellular and Molecular Neuroscience (90 citations) and Statistics and Probability (28 citations). Merav Stern has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Johnatan Aljadeff, Tatyana O. Sharpee, Haim Sompolinsky, L. F. Abbott, Kevin M. Franks, Kevin A. Bolding, David Renfrew, Martin Paul Nawrot, Luca Mazzucato and Ami Citri. Their work appears in journals such as BMC Neuroscience, eLife, iScience, Cell Reports and Physical Review Letters.
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.