Alex Roxin

2.9k total citations
35 papers, 1.8k citations indexed

About

Alex Roxin is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Alex Roxin has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 16 papers in Statistical and Nonlinear Physics and 12 papers in Computer Networks and Communications. Recurrent topics in Alex Roxin's work include Neural dynamics and brain function (30 papers), stochastic dynamics and bifurcation (15 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). Alex Roxin is often cited by papers focused on Neural dynamics and brain function (30 papers), stochastic dynamics and bifurcation (15 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). Alex Roxin collaborates with scholars based in Spain, United States and France. Alex Roxin's co-authors include Nicolas Brunel, Hermann Riecke, Sara A. Solla, D. Hansel, Ernest Montbrió, Tim Jarsky, William L. Kath, Nelson Spruston, Anders Ledberg and Albert Compte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Alex Roxin

35 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Roxin Spain 19 1.5k 630 611 480 259 35 1.8k
Bruce J. Gluckman United States 23 1.1k 0.8× 697 1.1× 825 1.4× 456 0.9× 129 0.5× 69 2.1k
Christoph Börgers United States 19 1.2k 0.8× 362 0.6× 772 1.3× 257 0.5× 154 0.6× 47 1.8k
Nancy Kopell United States 22 1.2k 0.8× 1.1k 1.8× 632 1.0× 1.1k 2.3× 223 0.9× 35 2.2k
Oleksandr V. Popovych Germany 29 1.4k 1.0× 888 1.4× 1.0k 1.7× 1.2k 2.5× 173 0.7× 67 2.5k
Horacio G. Rotstein United States 26 1.2k 0.9× 704 1.1× 976 1.6× 540 1.1× 97 0.4× 109 2.3k
Woodrow L. Shew United States 19 1.9k 1.3× 649 1.0× 680 1.1× 219 0.5× 276 1.1× 48 2.5k
Timothy J. Lewis United States 19 1.2k 0.8× 411 0.7× 899 1.5× 294 0.6× 191 0.7× 42 2.0k
Germán Mato Argentina 17 1.5k 1.1× 945 1.5× 736 1.2× 822 1.7× 271 1.0× 47 2.0k
Axel Hutt France 24 1.2k 0.8× 641 1.0× 349 0.6× 546 1.1× 96 0.4× 86 1.7k
Roberto F. Galán United States 23 1.1k 0.8× 473 0.8× 545 0.9× 343 0.7× 100 0.4× 46 1.8k

Countries citing papers authored by Alex Roxin

Since Specialization
Citations

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

Fields of papers citing papers by Alex Roxin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Roxin

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Roxin. A scholar is included among the top collaborators of Alex Roxin 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 Alex Roxin. Alex Roxin 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.
Roxin, Alex, et al.. (2025). Representational drift as the consequence of ongoing memory storage. Scientific Reports. 15(1). 27746–27746. 1 indexed citations
2.
Roxin, Alex, et al.. (2023). Rapid memory encoding in a recurrent network model with behavioral time scale synaptic plasticity. PLoS Computational Biology. 19(8). e1011139–e1011139. 2 indexed citations
3.
Wimmer, Klaus, et al.. (2021). Flexible categorization in perceptual decision making. Nature Communications. 12(1). 1283–1283. 16 indexed citations
4.
Pietras, Bastian, et al.. (2019). Exact firing rate model reveals the differential effects of chemical versus electrical synapses in spiking networks. Physical review. E. 100(4). 42412–42412. 38 indexed citations
5.
Schmidt, Helmut, Daniele Avitabile, Ernest Montbrió, & Alex Roxin. (2018). Network mechanisms underlying the role of oscillations in cognitive tasks. PLoS Computational Biology. 14(9). e1006430–e1006430. 50 indexed citations
6.
Nykamp, Duane Q., Daniel Friedman, Maxwell Shinn, et al.. (2017). Mean-field equations for neuronal networks with arbitrary degree distributions. Physical review. E. 95(4). 42323–42323. 11 indexed citations
7.
Roxin, Alex, et al.. (2017). Firing rate equations require a spike synchrony mechanism to correctly describe fast oscillations in inhibitory networks. PLoS Computational Biology. 13(12). e1005881–e1005881. 66 indexed citations
8.
Perin, Rodrigo, et al.. (2017). On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes. Journal of Neuroscience. 37(35). 8498–8510. 15 indexed citations
9.
Roxin, Alex, et al.. (2017). Synchrony-induced modes of oscillation of a neural field model. Physical review. E. 96(5). 52407–52407. 26 indexed citations
10.
Roxin, Alex & Albert Compte. (2016). Oscillations in the bistable regime of neuronal networks. Physical review. E. 94(1). 12410–12410. 9 indexed citations
11.
Ramírez-Mahaluf, Juan Pablo, Alex Roxin, Helen S. Mayberg, & Albert Compte. (2015). A Computational Model of Major Depression: the Role of Glutamate Dysfunction on Cingulo-Frontal Network Dynamics. Cerebral Cortex. 27(1). bhv249–bhv249. 47 indexed citations
12.
Wimmer, Klaus, Albert Compte, Alex Roxin, et al.. (2015). Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT. Nature Communications. 6(1). 6177–6177. 107 indexed citations
13.
Roxin, Alex & Stefano Fusi. (2013). Efficient Partitioning of Memory Systems and Its Importance for Memory Consolidation. PLoS Computational Biology. 9(7). e1003146–e1003146. 40 indexed citations
14.
Roxin, Alex, Nicolas Brunel, David Hansel, Gianluigi Mongillo, & Carl van Vreeswijk. (2011). On the Distribution of Firing Rates in Networks of Cortical Neurons. Journal of Neuroscience. 31(45). 16217–16226. 138 indexed citations
15.
Liu, Yaling, et al.. (2005). Slip Dynamics at the Liquid/Solid Interface in MD Simulations. Bulletin of the American Physical Society. 58. 1 indexed citations
16.
Roxin, Alex, Nicolas Brunel, & D. Hansel. (2005). Role of Delays in Shaping Spatiotemporal Dynamics of Neuronal Activity in Large Networks. Physical Review Letters. 94(23). 238103–238103. 218 indexed citations
17.
Jarsky, Tim, Alex Roxin, William L. Kath, & Nelson Spruston. (2005). Conditional dendritic spike propagation following distal synaptic activation of hippocampal CA1 pyramidal neurons. Nature Neuroscience. 8(12). 1667–1676. 219 indexed citations
18.
Lichter, Seth, Alex Roxin, & Shreyas Mandre. (2004). Mechanisms for Liquid Slip at Solid Surfaces. Physical Review Letters. 93(8). 86001–86001. 59 indexed citations
19.
Roxin, Alex, Hermann Riecke, & Sara A. Solla. (2004). Self-Sustained Activity in a Small-World Network of Excitable Neurons. Physical Review Letters. 92(19). 198101–198101. 220 indexed citations
20.
Roxin, Alex & Hermann Riecke. (2002). Rotating convection in an anisotropic system. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(4). 46219–46219. 9 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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