Merav Stern

451 total citations
10 papers, 248 citations indexed

About

Merav Stern is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Merav Stern has authored 10 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Merav Stern's work include Neural dynamics and brain function (6 papers), stochastic dynamics and bifurcation (4 papers) and Neural Networks and Applications (4 papers). Merav Stern is often cited by papers focused on Neural dynamics and brain function (6 papers), stochastic dynamics and bifurcation (4 papers) and Neural Networks and Applications (4 papers). Merav Stern collaborates with scholars based in United States, Israel and Italy. Merav Stern's co-authors include Tatyana O. Sharpee, Johnatan Aljadeff, L. F. Abbott, Haim Sompolinsky, Kevin M. Franks, Kevin A. Bolding, Martin Paul Nawrot, Yuan Gao, Ami Citri and Luca Mazzucato and has published in prestigious journals such as Physical Review Letters, Cell Reports and eLife.

In The Last Decade

Merav Stern

9 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Merav Stern United States	7	139	87	85	57	46	10	248
Alexander G. Dimitrov United States	11	220 1.6×	98 1.1×	50 0.6×	111 1.9×	8 0.2×	39	357
Lubomir Kostal Czechia	13	311 2.2×	223 2.6×	157 1.8×	60 1.1×	52 1.1×	44	456
Elad Ganmor Israel	7	431 3.1×	193 2.2×	85 1.0×	44 0.8×	22 0.5×	9	490
Guido Gigante Italy	8	228 1.6×	91 1.0×	68 0.8×	43 0.8×	6 0.1×	15	283
Matthew Chalk France	9	470 3.4×	178 2.0×	35 0.4×	32 0.6×	17 0.4×	15	513
Luis Carlos García del Molino United Kingdom	4	173 1.2×	126 1.4×	18 0.2×	12 0.2×	14 0.3×	5	293
João D. Semedo Portugal	7	362 2.6×	149 1.7×	24 0.3×	31 0.5×	16 0.3×	10	395
Kosuke Hamaguchi Japan	8	185 1.3×	108 1.2×	55 0.6×	32 0.6×	9 0.2×	20	356
Inés Samengo Argentina	13	353 2.5×	168 1.9×	84 1.0×	37 0.6×	23 0.5×	42	460
Juhan Aru Switzerland	8	367 2.6×	125 1.4×	32 0.4×	11 0.2×	8 0.2×	15	491

Countries citing papers authored by Merav Stern

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Merav Stern

This figure shows the co-authorship network connecting the top 25 collaborators of Merav Stern. A scholar is included among the top collaborators of Merav Stern 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 Merav Stern. Merav Stern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Stern, Merav, et al.. (2023). A reservoir of timescales emerges in recurrent circuits with heterogeneous neural assemblies. eLife. 12. 10 indexed citations

2.

Lewis, M. E. Suzanne, et al.. (2021). Plume Dynamics Structure the Spatiotemporal Activity of Mitral/Tufted Cell Networks in the Mouse Olfactory Bulb. Frontiers in Cellular Neuroscience. 15. 633757–633757. 8 indexed citations

3.

Nawrot, Martin Paul, et al.. (2020). Numerical Cognition Based on Precise Counting with a Single Spiking Neuron. iScience. 23(2). 100852–100852. 13 indexed citations

4.

Stern, Merav, et al.. (2018). A transformation from temporal to ensemble coding in a model of piriform cortex. eLife. 7. 36 indexed citations

5.

Stern, Merav, et al.. (2017). Functional Plasticity of Odor Representations during Motherhood. Cell Reports. 21(2). 351–365. 24 indexed citations

6.

Aljadeff, Johnatan, Merav Stern, & Tatyana O. Sharpee. (2015). Transition to Chaos in Random Networks with Cell-Type-Specific Connectivity. Physical Review Letters. 114(8). 88101–88101. 85 indexed citations

7.

Stern, Merav, Haim Sompolinsky, & L. F. Abbott. (2014). Dynamics of random neural networks with bistable units. Physical Review E. 90(6). 62710–62710. 65 indexed citations

8.

Aljadeff, Johnatan, Merav Stern, & Tatyana O. Sharpee. (2014). Chaos in heterogeneous neural networks: I. The critical transition point. BMC Neuroscience. 15(S1). 4 indexed citations

9.

Stern, Merav, Johnatan Aljadeff, & Tatyana O. Sharpee. (2014). Chaos in heterogeneous neural networks: II. Multiple activity modes. BMC Neuroscience. 15(S1). 3 indexed citations

10.

Stern, Merav, Benjamin Torben-Nielsen, Yaara Lefler, Idan Segev, & Yosef Yarom. (2011). Modeling network phenomena in the Inferior Olive: I. Keeping track of time. BMC Neuroscience. 12(S1).

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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