Robert Rosenbaum

1.8k total citations
34 papers, 974 citations indexed

About

Robert Rosenbaum is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Robert Rosenbaum has authored 34 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 23 papers in Cellular and Molecular Neuroscience and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Robert Rosenbaum's work include Neural dynamics and brain function (29 papers), Neuroscience and Neuropharmacology Research (12 papers) and stochastic dynamics and bifurcation (11 papers). Robert Rosenbaum is often cited by papers focused on Neural dynamics and brain function (29 papers), Neuroscience and Neuropharmacology Research (12 papers) and stochastic dynamics and bifurcation (11 papers). Robert Rosenbaum collaborates with scholars based in United States, Germany and Netherlands. Robert Rosenbaum's co-authors include Brent Doiron, Jonathan E. Rubin, Krešimir Josić́, Ashok Litwin-Kumar, Adam Kohn, Gabriel Koch Ocker, Matthew A. Smith, Marlene R. Cohen, Douglas A. Ruff and Chengcheng Huang and has published in prestigious journals such as Physical Review Letters, Nature Communications and Neuron.

In The Last Decade

Robert Rosenbaum

34 papers receiving 968 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Rosenbaum United States 16 827 581 208 179 100 34 974
Tom Tetzlaff Germany 15 1.0k 1.3× 660 1.1× 273 1.3× 290 1.6× 76 0.8× 50 1.2k
Henrik Lindén Norway 15 1.0k 1.2× 730 1.3× 158 0.8× 87 0.5× 43 0.4× 27 1.2k
Jean‐Philippe Thivierge Canada 14 931 1.1× 343 0.6× 127 0.6× 103 0.6× 110 1.1× 52 1.2k
Michael Okun United Kingdom 9 1.2k 1.5× 888 1.5× 181 0.9× 138 0.8× 75 0.8× 22 1.4k
Guillaume Drion Belgium 15 396 0.5× 303 0.5× 127 0.6× 158 0.9× 59 0.6× 30 593
Thierry Bal France 17 1.3k 1.6× 1.1k 1.8× 247 1.2× 292 1.6× 52 0.5× 34 1.6k
Jorge F. Mejías Netherlands 15 818 1.0× 322 0.6× 132 0.6× 200 1.1× 60 0.6× 44 909
Brian DePasquale United States 9 627 0.8× 303 0.5× 171 0.8× 48 0.3× 159 1.6× 14 785
Katsunori Kitano Japan 14 364 0.4× 272 0.5× 123 0.6× 83 0.5× 56 0.6× 33 546
Michael Denker Germany 14 449 0.5× 321 0.6× 100 0.5× 63 0.4× 49 0.5× 38 630

Countries citing papers authored by Robert Rosenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Robert Rosenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Rosenbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Rosenbaum. A scholar is included among the top collaborators of Robert Rosenbaum 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 Robert Rosenbaum. Robert Rosenbaum 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.
Rosenbaum, Robert, et al.. (2023). Rapid compensatory plasticity revealed by dynamic correlated activity in monkeys in vivo. Nature Neuroscience. 26(11). 1960–1969. 1 indexed citations
2.
Rosenbaum, Robert, et al.. (2023). Meta-learning biologically plausible plasticity rules with random feedback pathways. Nature Communications. 14(1). 1805–1805. 6 indexed citations
3.
Rosenbaum, Robert. (2022). On the relationship between predictive coding and backpropagation. PLoS ONE. 17(3). e0266102–e0266102. 12 indexed citations
4.
Rosenbaum, Robert, et al.. (2021). Balanced networks under spike-time dependent plasticity. PLoS Computational Biology. 17(5). e1008958–e1008958. 8 indexed citations
5.
Rosenbaum, Robert, et al.. (2020). Spatially extended balanced networks without translationally invariant connectivity. SHILAP Revista de lepidopterología. 10(1). 8–8. 1 indexed citations
6.
Rosenbaum, Robert, et al.. (2020). Nonlinear stimulus representations in neural circuits with approximate excitatory-inhibitory balance. PLoS Computational Biology. 16(9). e1008192–e1008192. 16 indexed citations
7.
Rosenbaum, Robert, et al.. (2019). A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity. Neural Computation. 31(7). 1430–1461. 7 indexed citations
8.
Rosenbaum, Robert, et al.. (2017). Spatiotemporal Dynamics and Reliable Computations in Recurrent Spiking Neural Networks. Physical Review Letters. 118(1). 18103–18103. 35 indexed citations
9.
Rosenbaum, Robert. (2016). A Diffusion Approximation and Numerical Methods for Adaptive Neuron Models with Stochastic Inputs. Frontiers in Computational Neuroscience. 10. 39–39. 9 indexed citations
10.
Litwin-Kumar, Ashok, Robert Rosenbaum, & Brent Doiron. (2016). Inhibitory stabilization and visual coding in cortical circuits with multiple interneuron subtypes. Journal of Neurophysiology. 115(3). 1399–1409. 95 indexed citations
11.
Yatsenko, Dimitri, Emmanouil Froudarakis, Alexander S. Ecker, et al.. (2016). Strong functional connectivity of parvalbumin-expressing cortical interneurons. Max Planck Digital Library. 221–221. 1 indexed citations
12.
Rosenbaum, Robert, et al.. (2016). Highly connected neurons spike less frequently in balanced networks. Physical review. E. 93(4). 40302–40302. 17 indexed citations
13.
Doiron, Brent, Ashok Litwin-Kumar, Robert Rosenbaum, Gabriel Koch Ocker, & Krešimir Josić́. (2016). The mechanics of state-dependent neural correlations. Nature Neuroscience. 19(3). 383–393. 146 indexed citations
14.
Rosenbaum, Robert, Tatjana Tchumatchenko, & Rubén Moreno‐Bote. (2014). Correlated neuronal activity and its relationship to coding, dynamics and network architecture. Frontiers in Computational Neuroscience. 8. 102–102. 6 indexed citations
15.
Rosenbaum, Robert, Andrew J. Zimnik, Fang Zheng, et al.. (2013). Axonal and synaptic failure suppress the transfer of firing rate oscillations, synchrony and information during high frequency deep brain stimulation. Neurobiology of Disease. 62. 86–99. 81 indexed citations
16.
Reich, Steven D. & Robert Rosenbaum. (2013). The impact of short term synaptic depression and stochastic vesicle dynamics on neuronal variability. Journal of Computational Neuroscience. 35(1). 39–53. 9 indexed citations
17.
Rosenbaum, Robert, Jonathan E. Rubin, & Brent Doiron. (2012). Short Term Synaptic Depression Imposes a Frequency Dependent Filter on Synaptic Information Transfer. PLoS Computational Biology. 8(6). e1002557–e1002557. 72 indexed citations
18.
Rosenbaum, Robert, et al.. (2011). THE TRANSFER AND PROPAGATION OF CORRELATED NEURONAL ACTIVITY. 1 indexed citations
19.
Rosenbaum, Robert, et al.. (2011). The Effects of Pooling on Spike Train Correlations. Frontiers in Neuroscience. 5. 58–58. 25 indexed citations
20.
Rosenbaum, Robert & Krešimir Josić́. (2011). Membrane potential and spike train statistics depend distinctly on input statistics. Physical Review E. 84(5). 51902–51902. 4 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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