Yonatan Loewenstein

3.4k total citations
65 papers, 2.0k citations indexed

About

Yonatan Loewenstein is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Yonatan Loewenstein has authored 65 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cognitive Neuroscience, 16 papers in Cellular and Molecular Neuroscience and 12 papers in Artificial Intelligence. Recurrent topics in Yonatan Loewenstein's work include Neural dynamics and brain function (31 papers), Neural and Behavioral Psychology Studies (13 papers) and Neuroscience and Neuropharmacology Research (10 papers). Yonatan Loewenstein is often cited by papers focused on Neural dynamics and brain function (31 papers), Neural and Behavioral Psychology Studies (13 papers) and Neuroscience and Neuropharmacology Research (10 papers). Yonatan Loewenstein collaborates with scholars based in Israel, United States and France. Yonatan Loewenstein's co-authors include Simon Rumpel, Haim Sompolinsky, Gianluigi Mongillo, Yosef Yarom, Antanas Kuras, Merav Ahissar, Michael Häusser, Séverine Mahon, H. Sebastian Seung and Paul Chadderton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Yonatan Loewenstein

62 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonatan Loewenstein Israel 24 1.3k 749 251 215 194 65 2.0k
Brian Murphy United States 22 1.2k 0.9× 612 0.8× 113 0.5× 205 1.0× 459 2.4× 77 2.1k
Rubén Moreno‐Bote Spain 26 2.3k 1.7× 668 0.9× 145 0.6× 234 1.1× 219 1.1× 62 2.6k
Blake A. Richards Canada 24 1.8k 1.4× 1.3k 1.7× 378 1.5× 321 1.5× 292 1.5× 52 3.0k
Marco Idiart Brazil 22 1.6k 1.2× 952 1.3× 187 0.7× 120 0.6× 337 1.7× 68 2.4k
Mattia Rigotti United States 15 2.3k 1.8× 826 1.1× 178 0.7× 306 1.4× 415 2.1× 24 2.8k
Matthias H. Munk Germany 21 2.3k 1.8× 849 1.1× 173 0.7× 98 0.5× 94 0.5× 39 2.6k
Wu Li China 24 3.0k 2.3× 859 1.1× 299 1.2× 151 0.7× 130 0.7× 51 3.4k
Mark D. Humphries United Kingdom 24 2.2k 1.7× 1.2k 1.5× 300 1.2× 187 0.9× 185 1.0× 59 3.4k
Almut Schüz Germany 18 1.8k 1.4× 1.1k 1.4× 270 1.1× 333 1.5× 168 0.9× 42 2.6k
Jacob Reimer United States 19 2.3k 1.8× 1.2k 1.6× 479 1.9× 174 0.8× 92 0.5× 27 3.4k

Countries citing papers authored by Yonatan Loewenstein

Since Specialization
Citations

This map shows the geographic impact of Yonatan Loewenstein'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 Yonatan Loewenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonatan Loewenstein more than expected).

Fields of papers citing papers by Yonatan Loewenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yonatan Loewenstein. 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 Yonatan Loewenstein. The network helps show where Yonatan Loewenstein may publish in the future.

Co-authorship network of co-authors of Yonatan Loewenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Yonatan Loewenstein. A scholar is included among the top collaborators of Yonatan Loewenstein 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 Yonatan Loewenstein. Yonatan Loewenstein 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.
Noda, Takahiro, Eike Kienle, Dominik F. Aschauer, et al.. (2025). Homeostasis of a representational map in the neocortex. Nature Neuroscience. 28(7). 1533–1545.
2.
Loewenstein, Yonatan, et al.. (2024). Untrained neural networks can demonstrate memorization-independent abstract reasoning. Scientific Reports. 14(1). 27249–27249. 2 indexed citations
3.
Liu, Zhe, Robert Reiner, Yonatan Loewenstein, & Eran Lottem. (2024). Value Modulation of Self-Defeating Impulsivity. Biological Psychiatry. 97(12). 1186–1194. 1 indexed citations
4.
Zorbaz, Tamara, Nimrod Madrer, Iddo Paldor, et al.. (2023). Sex‐specific declines in cholinergic‐targeting tRNA fragments in the nucleus accumbens in Alzheimer's disease. Alzheimer s & Dementia. 19(11). 5159–5172. 27 indexed citations
5.
Loewenstein, Yonatan, et al.. (2021). Paradoxical relationship between speed and accuracy in olfactory figure-background segregation. PLoS Computational Biology. 17(12). e1009674–e1009674. 9 indexed citations
6.
Saadon‐Grosman, Noam, Yonatan Loewenstein, & Shahar Arzy. (2020). The ‘creatures’ of the human cortical somatosensory system. Brain Communications. 2(1). fcaa003–fcaa003. 17 indexed citations
7.
Grodzinsky, Yosef, et al.. (2019). Logical negation mapped onto the brain. Brain Structure and Function. 225(1). 19–31. 12 indexed citations
8.
Loewenstein, Yonatan, et al.. (2019). From choice architecture to choice engineering. Nature Communications. 10(1). 2808–2808. 7 indexed citations
9.
Choshen, Leshem, et al.. (2018). DORA The Explorer: Directed Outreaching Reinforcement Action-Selection. arXiv (Cornell University). 2018. 6 indexed citations
10.
Mongillo, Gianluigi, Simon Rumpel, & Yonatan Loewenstein. (2018). Inhibitory connectivity defines the realm of excitatory plasticity. Nature Neuroscience. 21(10). 1463–1470. 86 indexed citations
11.
Hochner‐Celnikier, Drorith, et al.. (2017). Association of Catastrophic Neonatal Outcomes With Increased Rate of Subsequent Cesarean Deliveries. Obstetrics and Gynecology. 129(4). 671–675. 7 indexed citations
12.
Mongillo, Gianluigi & Yonatan Loewenstein. (2017). Neuroscience: Formation of a Percept in the Rat Cortex. Current Biology. 27(11). R423–R425. 4 indexed citations
13.
Mongillo, Gianluigi, Simon Rumpel, & Yonatan Loewenstein. (2017). Intrinsic volatility of synaptic connections — a challenge to the synaptic trace theory of memory. Current Opinion in Neurobiology. 46. 7–13. 66 indexed citations
14.
Loewenstein, Yonatan, et al.. (2015). Predicting the Dynamics of Network Connectivity in the Neocortex. Journal of Neuroscience. 35(36). 12535–12544. 55 indexed citations
15.
Loewenstein, Yonatan, et al.. (2013). Covariance-Based Synaptic Plasticity in an Attractor Network Model Accounts for Fast Adaptation in Free Operant Learning. Journal of Neuroscience. 33(4). 1521–1534. 15 indexed citations
16.
Balaban, Nathalie Q., et al.. (2013). Stochasticity, Bistability and the Wisdom of Crowds: A Model for Associative Learning in Genetic Regulatory Networks. PLoS Computational Biology. 9(8). e1003179–e1003179. 29 indexed citations
17.
Loewenstein, Yonatan, et al.. (2012). The role of first impression in operant learning.. Journal of Experimental Psychology General. 142(2). 476–488. 60 indexed citations
18.
Loewenstein, Yonatan, et al.. (2011). Reinforcement learning in professional basketball players. Nature Communications. 2(1). 569–569. 52 indexed citations
19.
Loewenstein, Yonatan. (2010). Synaptic theory of Replicator-like melioration. Frontiers in Computational Neuroscience. 4. 17–17. 12 indexed citations
20.
Loewenstein, Yonatan & Haim Sompolinsky. (2002). Computation by calcium dynamics in single neurons a possible solution to the problem of neural integration. 26613. 1 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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