Johnatan Aljadeff

1.2k total citations
21 papers, 617 citations indexed

About

Johnatan Aljadeff is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Johnatan Aljadeff has authored 21 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Johnatan Aljadeff's work include Neural dynamics and brain function (15 papers), Neural Networks and Applications (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Johnatan Aljadeff is often cited by papers focused on Neural dynamics and brain function (15 papers), Neural Networks and Applications (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Johnatan Aljadeff collaborates with scholars based in United States, Israel and United Kingdom. Johnatan Aljadeff's co-authors include Tatyana O. Sharpee, Merav Stern, Nachum Ulanovsky, Nicolas Brunel, Liora Las, Amos Maritan, György Barabás, David Kleinfeld, Si Tang and Jacopo Grilli and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Johnatan Aljadeff

21 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johnatan Aljadeff United States 15 351 239 89 87 81 21 617
Scott W. Linderman United States 17 451 1.3× 344 1.4× 40 0.4× 72 0.8× 34 0.4× 42 972
Yoshiki Kashimori Japan 11 203 0.6× 75 0.3× 75 0.8× 41 0.5× 51 0.6× 68 509
Udo Ernst Germany 17 882 2.5× 311 1.3× 319 3.6× 130 1.5× 148 1.8× 48 1.3k
Christopher L. Buckley United Kingdom 17 537 1.5× 71 0.3× 72 0.8× 26 0.3× 51 0.6× 55 903
Stephanie E. Palmer United States 14 471 1.3× 197 0.8× 107 1.2× 92 1.1× 89 1.1× 36 773
Zachary P. Kilpatrick United States 16 459 1.3× 130 0.5× 257 2.9× 21 0.2× 74 0.9× 48 624
Osamu Hoshino Japan 12 252 0.7× 165 0.7× 22 0.2× 37 0.4× 23 0.3× 60 444
Eviatar Yemini United States 14 208 0.6× 299 1.3× 43 0.5× 49 0.6× 24 0.3× 22 1.2k
Baktash Babadi United States 11 488 1.4× 356 1.5× 37 0.4× 35 0.4× 127 1.6× 16 687
Srinivas Gorur-Shandilya United States 11 122 0.3× 344 1.4× 93 1.0× 90 1.0× 25 0.3× 12 576

Countries citing papers authored by Johnatan Aljadeff

Since Specialization
Citations

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

Fields of papers citing papers by Johnatan Aljadeff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johnatan Aljadeff

This figure shows the co-authorship network connecting the top 25 collaborators of Johnatan Aljadeff. A scholar is included among the top collaborators of Johnatan Aljadeff 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 Johnatan Aljadeff. Johnatan Aljadeff 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.
Wu, Shiuan‐Tze, et al.. (2024). Peripheral preprocessing in Drosophila facilitates odor classification. Proceedings of the National Academy of Sciences. 121(21). e2316799121–e2316799121. 1 indexed citations
2.
Aljadeff, Johnatan, et al.. (2023). Are grid cells used for navigation? On local metrics, subjective spaces, and black holes. Neuron. 111(12). 1858–1875. 19 indexed citations
3.
Aljadeff, Johnatan, et al.. (2023). Forgetting Leads to Chaos in Attractor Networks. Physical Review X. 13(1). 15 indexed citations
4.
Sarel, Ayelet, et al.. (2022). Natural switches in behaviour rapidly modulate hippocampal coding. Nature. 609(7925). 119–127. 20 indexed citations
5.
Wu, Shiuan‐Tze, Jen‐Yung Chen, Ye Zhang, et al.. (2022). Valence opponency in peripheral olfactory processing. Proceedings of the National Academy of Sciences. 119(5). 21 indexed citations
6.
Aljadeff, Johnatan, et al.. (2021). From synapse to network: models of information storage and retrieval in neural circuits. Current Opinion in Neurobiology. 70. 24–33. 14 indexed citations
7.
Aljadeff, Johnatan, et al.. (2021). Locally ordered representation of 3D space in the entorhinal cortex. Nature. 596(7872). 404–409. 57 indexed citations
8.
Lozada, Adrian F., Johnatan Aljadeff, Yulong Li, et al.. (2021). Reinforcement learning links spontaneous cortical dopamine impulses to reward. Current Biology. 31(18). 4111–4119.e4. 14 indexed citations
9.
Maimon, Shir R., et al.. (2021). Multiscale representation of very large environments in the hippocampus of flying bats. Science. 372(6545). 54 indexed citations
10.
Inglebert, Yanis, Johnatan Aljadeff, Nicolas Brunel, & Dominique Debanne. (2020). Synaptic plasticity rules with physiological calcium levels. Proceedings of the National Academy of Sciences. 117(52). 33639–33648. 60 indexed citations
11.
Finkelstein, Arseny, Nachum Ulanovsky, Misha Tsodyks, & Johnatan Aljadeff. (2018). Optimal dynamic coding by mixed-dimensionality neurons in the head-direction system of bats. Nature Communications. 9(1). 3590–3590. 14 indexed citations
12.
Bouvier, Guy, Johnatan Aljadeff, Claudia Clopath, et al.. (2018). Cerebellar learning using perturbations. eLife. 7. 35 indexed citations
13.
Aljadeff, Johnatan, et al.. (2016). Low-dimensional dynamics of structured random networks. Physical review. E. 93(2). 22302–22302. 22 indexed citations
14.
Aljadeff, Johnatan, Benjamin Lansdell, Adrienne L. Fairhall, & David Kleinfeld. (2016). Analysis of Neuronal Spike Trains, Deconstructed. Neuron. 91(2). 221–259. 55 indexed citations
15.
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
16.
Allesina, Stefano, Jacopo Grilli, György Barabás, et al.. (2015). Predicting the stability of large structured food webs. Nature Communications. 6(1). 7842–7842. 96 indexed citations
17.
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
18.
Stern, Merav, Johnatan Aljadeff, & Tatyana O. Sharpee. (2014). Chaos in heterogeneous neural networks: II. Multiple activity modes. BMC Neuroscience. 15(S1). 3 indexed citations
19.
Aljadeff, Johnatan, Ronen Segev, Michael J. Berry, & Tatyana O. Sharpee. (2013). Spike Triggered Covariance in Strongly Correlated Gaussian Stimuli. PLoS Computational Biology. 9(9). e1003206–e1003206. 8 indexed citations
20.
Aljadeff, Johnatan, et al.. (2011). Reduced Synchronization Persistence in Neural Networks Derived from Atm-Deficient Mice. Frontiers in Neuroscience. 5. 46–46. 15 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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