Carina Curto

1.7k total citations
29 papers, 849 citations indexed

About

Carina Curto is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Carina Curto has authored 29 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Carina Curto's work include Neural dynamics and brain function (14 papers), Neuroscience and Neuropharmacology Research (9 papers) and Memory and Neural Mechanisms (8 papers). Carina Curto is often cited by papers focused on Neural dynamics and brain function (14 papers), Neuroscience and Neuropharmacology Research (9 papers) and Memory and Neural Mechanisms (8 papers). Carina Curto collaborates with scholars based in United States, Germany and Italy. Carina Curto's co-authors include Vladimir Itskov, Eva Pastalkova, Chad Giusti, Kenneth D. Harris, Stephan Lawrence Marguet, Shuzo Sakata, György Buzsáki, J. D. Scudder, C. A. Kletzing and Péter Barthó and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of Geophysical Research Atmospheres.

In The Last Decade

Carina Curto

27 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carina Curto United States 13 501 280 186 142 116 29 849
Arturo Tozzi United States 14 337 0.7× 63 0.2× 65 0.3× 74 0.5× 68 0.6× 73 688
Nils A. Baas Norway 11 180 0.4× 108 0.4× 120 0.6× 56 0.4× 51 0.4× 37 585
Yuri Dabaghian United States 12 286 0.6× 230 0.8× 164 0.9× 125 0.9× 117 1.0× 44 751
Michael Reimann Switzerland 11 510 1.0× 297 1.1× 80 0.4× 78 0.5× 84 0.7× 45 762
David Pfau United States 11 406 0.8× 375 1.3× 83 0.4× 136 1.0× 44 0.4× 26 1.4k
Masafumi Oizumi Japan 12 776 1.5× 110 0.4× 52 0.3× 74 0.5× 136 1.2× 42 1.1k
Nicholas M. Timme United States 16 867 1.7× 385 1.4× 36 0.2× 123 0.9× 236 2.0× 23 1.2k
Kathryn Hess Switzerland 14 235 0.5× 90 0.3× 250 1.3× 164 1.2× 81 0.7× 64 1.1k
Sonya Bahar United States 17 420 0.8× 213 0.8× 28 0.2× 185 1.3× 270 2.3× 51 1.0k
H. Kröger Canada 15 412 0.8× 296 1.1× 16 0.1× 92 0.6× 201 1.7× 102 1.3k

Countries citing papers authored by Carina Curto

Since Specialization
Citations

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

Fields of papers citing papers by Carina Curto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carina Curto

This figure shows the co-authorship network connecting the top 25 collaborators of Carina Curto. A scholar is included among the top collaborators of Carina Curto 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 Carina Curto. Carina Curto 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.
Curto, Carina, et al.. (2025). Topological Neuroscience: Linking Circuits to Function. Annual Review of Neuroscience. 48(1). 491–518.
2.
Curto, Carina & Katherine M. Morrison. (2023). Graph Rules for Recurrent Neural Network Dynamics. Notices of the American Mathematical Society. 70(4). 1–1. 2 indexed citations
3.
Curto, Carina, et al.. (2022). Core motifs predict dynamic attractors in combinatorial threshold-linear networks. PLoS ONE. 17(3). e0264456–e0264456. 11 indexed citations
4.
Curto, Carina, et al.. (2022). Sequential Attractors in Combinatorial Threshold-Linear Networks. SIAM Journal on Applied Dynamical Systems. 21(2). 1597–1630. 12 indexed citations
5.
Curto, Carina, et al.. (2022). Periodic neural codes and sound localization in barn owls. Involve a Journal of Mathematics. 15(1). 1–37.
6.
Curto, Carina, et al.. (2019). Relating network connectivity to dynamics: opportunities and challenges for theoretical neuroscience. Current Opinion in Neurobiology. 58. 11–20. 21 indexed citations
7.
Curto, Carina, et al.. (2016). Pattern Completion in Symmetric Threshold-Linear Networks. Neural Computation. 28(12). 2825–2852. 12 indexed citations
8.
Hook, Matthew J. Van, et al.. (2014). Calmodulin enhances ribbon replenishment and shapes filtering of synaptic transmission by cone photoreceptors. The Journal of General Physiology. 144(5). 357–378. 25 indexed citations
9.
Hook, Matthew J. Van, et al.. (2014). Calmodulin enhances ribbon replenishment and shapes filtering of synaptic transmission by cone photoreceptors. The Journal of Cell Biology. 207(3). 2073OIA192–2073OIA192. 1 indexed citations
10.
Curto, Carina, et al.. (2013). The Neural Ring: An Algebraic Tool for Analyzing the Intrinsic Structure of Neural Codes. Bulletin of Mathematical Biology. 75(9). 1571–1611. 34 indexed citations
11.
Curto, Carina & David R. Morrison. (2013). Threefold flops via matrix factorization. Journal of Algebraic Geometry. 22(4). 599–627. 8 indexed citations
12.
Curto, Carina, et al.. (2011). Flexible Memory Networks. Bulletin of Mathematical Biology. 74(3). 590–614. 16 indexed citations
13.
Itskov, Vladimir, Carina Curto, Eva Pastalkova, & György Buzsáki. (2011). Cell Assembly Sequences Arising from Spike Threshold Adaptation Keep Track of Time in the Hippocampus. Journal of Neuroscience. 31(8). 2828–2834. 105 indexed citations
14.
Harris, Kenneth D., Péter Barthó, Paul Chadderton, et al.. (2010). How do neurons work together? Lessons from auditory cortex. Hearing Research. 271(1-2). 37–53. 45 indexed citations
15.
Barthó, Péter, Carina Curto, Artur Luczak, Stephan Lawrence Marguet, & Kenneth D. Harris. (2009). Population coding of tone stimuli in auditory cortex: dynamic rate vector analysis. European Journal of Neuroscience. 30(9). 1767–1778. 30 indexed citations
16.
Curto, Carina, Shuzo Sakata, Stephan Lawrence Marguet, Vladimir Itskov, & Kenneth D. Harris. (2009). A Simple Model of Cortical Dynamics Explains Variability and State Dependence of Sensory Responses in Urethane-Anesthetized Auditory Cortex. Journal of Neuroscience. 29(34). 10600–10612. 117 indexed citations
17.
Curto, Carina & Vladimir Itskov. (2008). Cell Groups Reveal Structure of Stimulus Space. PLoS Computational Biology. 4(10). e1000205–e1000205. 77 indexed citations
18.
Curto, Carina. (2008). Matrix model superpotentials and ADE singularities. Advances in Theoretical and Mathematical Physics. 12(2). 353–404. 1 indexed citations
19.
Itskov, Vladimir & Carina Curto. (2007). From spikes to space: reconstructing features of the environment from spikes alone. BMC Neuroscience. 8(S2). 2 indexed citations
20.
Curto, Carina. (2005). Matrix model superpotentials and Calabi-Yau spaces: An A-D-E classification. Insecta mundi. 3 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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