Jonathan E. Rubin

8.5k total citations · 1 hit paper
190 papers, 5.4k citations indexed

About

Jonathan E. Rubin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Jonathan E. Rubin has authored 190 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Cognitive Neuroscience, 55 papers in Cellular and Molecular Neuroscience and 53 papers in Statistical and Nonlinear Physics. Recurrent topics in Jonathan E. Rubin's work include Neural dynamics and brain function (77 papers), stochastic dynamics and bifurcation (44 papers) and Nonlinear Dynamics and Pattern Formation (34 papers). Jonathan E. Rubin is often cited by papers focused on Neural dynamics and brain function (77 papers), stochastic dynamics and bifurcation (44 papers) and Nonlinear Dynamics and Pattern Formation (34 papers). Jonathan E. Rubin collaborates with scholars based in United States, Germany and Canada. Jonathan E. Rubin's co-authors include David Terman, Alice C. Yew, Charles J. Wilson, Gilles Clermont, Martin Wechselberger, Yoram Vodovotz, Ilya A. Rybak, Brent Doiron, Robert Rosenbaum and Judy Day and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Neuroscience.

In The Last Decade

Jonathan E. Rubin

180 papers receiving 5.2k citations

Hit Papers

Activity Patterns in a Model for the Subthalamopallidal N... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan E. Rubin United States 41 2.5k 2.1k 1.3k 1.2k 821 190 5.4k
Steven J. Schiff United States 54 4.8k 1.9× 4.2k 2.0× 1.3k 1.0× 2.1k 1.9× 1.5k 1.8× 202 10.1k
Florian Mormann Germany 46 8.5k 3.5× 2.3k 1.1× 347 0.3× 824 0.7× 766 0.9× 97 10.4k
Fabrice Wendling France 64 7.8k 3.2× 3.8k 1.8× 816 0.6× 399 0.3× 293 0.4× 321 14.3k
John R. Terry United Kingdom 35 2.1k 0.8× 846 0.4× 320 0.3× 703 0.6× 906 1.1× 97 4.3k
José Luis Pérez Velázquez Canada 43 2.1k 0.8× 2.3k 1.1× 436 0.3× 273 0.2× 238 0.3× 116 4.8k
John W. Clark United States 39 911 0.4× 1.3k 0.6× 147 0.1× 500 0.4× 314 0.4× 180 4.9k
George Moore United States 28 3.2k 1.3× 2.0k 0.9× 269 0.2× 592 0.5× 296 0.4× 98 5.3k
Jan Bureš Czechia 54 4.9k 2.0× 4.6k 2.2× 535 0.4× 135 0.1× 248 0.3× 538 11.9k
José Jalife United States 87 1.3k 0.5× 3.3k 1.6× 190 0.2× 1.8k 1.6× 2.8k 3.4× 350 24.2k
John Milton United States 42 2.4k 1.0× 502 0.2× 119 0.1× 1.4k 1.2× 1.1k 1.3× 156 5.4k

Countries citing papers authored by Jonathan E. Rubin

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Rubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan E. Rubin. 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 Jonathan E. Rubin. The network helps show where Jonathan E. Rubin may publish in the future.

Co-authorship network of co-authors of Jonathan E. Rubin

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan E. Rubin. A scholar is included among the top collaborators of Jonathan E. Rubin 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 Jonathan E. Rubin. Jonathan E. Rubin 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.
Rubin, Jonathan E., et al.. (2025). Energy of Functional Brain States Correlates With Cognition in Adolescent‐Onset Schizophrenia and Healthy Persons. Human Brain Mapping. 46(1). e70129–e70129. 1 indexed citations
2.
Rubin, Jonathan E., et al.. (2025). CBGTPy: An extensible cortico-basal ganglia-thalamic framework for modeling biological decision making. PLoS ONE. 20(1). e0310367–e0310367.
3.
Rubin, Jonathan E., et al.. (2024). Rethinking the external globus pallidus and information flow in cortico‐basal ganglia‐thalamic circuits. European Journal of Neuroscience. 60(9). 6129–6144. 4 indexed citations
4.
Aristieta, Asier, et al.. (2023). Introducing the STReaC (Spike Train Response Classification) toolbox. Journal of Neuroscience Methods. 401. 110000–110000. 1 indexed citations
5.
Rubin, Jonathan E., et al.. (2023). Threshold Selection for Brain Connectomes. Brain Connectivity. 13(7). 383–393. 5 indexed citations
6.
Liu, K., Shahin Hashemkhani, Jonathan E. Rubin, & Rajkumar Kubendran. (2023). Neuromorphic Networks using Nonlinear Mixed-feedback Multi-timescale Bio-mimetic Neurons. 608. 1–5. 1 indexed citations
7.
Bond, Krista, et al.. (2023). Competing neural representations of choice shape evidence accumulation in humans. eLife. 12. 2 indexed citations
8.
Rubin, Jonathan E., et al.. (2022). Identifying control ensembles for information processing within the cortico-basal ganglia-thalamic circuit. PLoS Computational Biology. 18(6). e1010255–e1010255. 5 indexed citations
9.
Phillips, Ryan S., Hidehiko Koizumi, Yaroslav I. Molkov, Jonathan E. Rubin, & Jeffrey C. Smith. (2022). Predictions and experimental tests of a new biophysical model of the mammalian respiratory oscillator. eLife. 11. 8 indexed citations
10.
Rubin, Jonathan E., et al.. (2020). The credit assignment problem in cortico‐basal ganglia‐thalamic networks: A review, a problem and a possible solution. European Journal of Neuroscience. 53(7). 2234–2253. 11 indexed citations
11.
Rubin, Jonathan E., et al.. (2020). Identification of affine dynamical systems from a single trajectory. Inverse Problems. 36(8). 85004–85004. 2 indexed citations
12.
Rubin, Jonathan E., et al.. (2020). Delta oscillations are a robust biomarker of dopamine depletion severity and motor dysfunction in awake mice. Journal of Neurophysiology. 124(2). 312–329. 30 indexed citations
13.
Verstynen, Timothy, et al.. (2019). Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making. PLoS Computational Biology. 15(5). e1006998–e1006998. 22 indexed citations
14.
Rubin, Jonathan E., Bernd Krauskopf, & Hinke M. Osinga. (2018). Natural extension of fast-slow decomposition for dynamical systems. Physical review. E. 97(1). 12215–12215. 10 indexed citations
15.
Rubin, Jonathan E., Nachum Ulanovsky, Israel Nelken, & Naftali Tishby. (2016). The Representation of Prediction Error in Auditory Cortex. PLoS Computational Biology. 12(8). e1005058–e1005058. 51 indexed citations
16.
Kim, Taegyo, et al.. (2016). Mixed-mode oscillations and population bursting in the pre-Bötzinger complex. eLife. 5. e13403–e13403. 35 indexed citations
17.
Molkov, Yaroslav I., Jonathan E. Rubin, Ilya A. Rybak, & Jeffrey C. Smith. (2016). Computational models of the neural control of breathing. WIREs Systems Biology and Medicine. 9(2). 42 indexed citations
18.
Rubin, Jonathan E., et al.. (2013). Latency of chromatic information in area V4. Journal of Physiology-Paris. 108(1). 11–17. 5 indexed citations
19.
Doiron, Brent, et al.. (2011). Correlation transfer from basal ganglia to thalamus in Parkinson's disease. Frontiers in Computational Neuroscience. 5. 58–58. 15 indexed citations
20.
Rubin, Jonathan E., Richard C. Gerkin, Guo‐Qiang Bi, & Carson C. Chow. (2005). Calcium Time Course as a Signal for Spike-Timing–Dependent Plasticity. Journal of Neurophysiology. 93(5). 2600–2613. 117 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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