Jaime de la Rocha

3.3k total citations · 1 hit paper
24 papers, 2.0k citations indexed

About

Jaime de la Rocha is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Jaime de la Rocha has authored 24 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Jaime de la Rocha's work include Neural dynamics and brain function (21 papers), stochastic dynamics and bifurcation (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Jaime de la Rocha is often cited by papers focused on Neural dynamics and brain function (21 papers), stochastic dynamics and bifurcation (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Jaime de la Rocha collaborates with scholars based in Spain, United States and France. Jaime de la Rocha's co-authors include Alex D. Reyes, Néstor Parga, Alfonso Renart, Eric Shea‐Brown, Krešimir Josić́, Brent Doiron, Péter Barthó, Kenneth D. Harris, Alex Roxin and Albert Compte and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jaime de la Rocha

24 papers receiving 2.0k citations

Hit Papers

The Asynchronous State in Cortical Circuits 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaime de la Rocha Spain 14 1.9k 1.1k 527 333 146 24 2.0k
Alfonso Renart Spain 15 1.6k 0.9× 796 0.7× 382 0.7× 349 1.0× 112 0.8× 25 1.8k
Maurizio Mattia Italy 23 1.8k 0.9× 839 0.7× 379 0.7× 387 1.2× 142 1.0× 67 2.0k
Arvind Kumar Germany 22 1.4k 0.7× 1.1k 1.0× 298 0.6× 342 1.0× 103 0.7× 72 1.8k
Jan Benda Germany 22 1.1k 0.6× 694 0.6× 418 0.8× 304 0.9× 103 0.7× 59 1.7k
Marc-Oliver Gewaltig Germany 13 1.6k 0.8× 861 0.8× 331 0.6× 732 2.2× 141 1.0× 34 2.0k
Frances S. Chance United States 12 2.0k 1.0× 1.5k 1.3× 326 0.6× 306 0.9× 60 0.4× 28 2.3k
Thierry Bal France 17 1.3k 0.7× 1.1k 1.0× 292 0.6× 247 0.7× 85 0.6× 34 1.6k
Nicolas Fourcaud‐Trocmé France 14 1.1k 0.6× 715 0.6× 597 1.1× 275 0.8× 179 1.2× 21 1.3k
Farzan Nadim United States 28 1.5k 0.8× 1.7k 1.6× 387 0.7× 215 0.6× 173 1.2× 92 2.3k
Hamutal Slovin Israel 18 1.9k 1.0× 1.7k 1.5× 208 0.4× 172 0.5× 108 0.7× 37 2.8k

Countries citing papers authored by Jaime de la Rocha

Since Specialization
Citations

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

Fields of papers citing papers by Jaime de la Rocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaime de la Rocha. 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 Jaime de la Rocha. The network helps show where Jaime de la Rocha may publish in the future.

Co-authorship network of co-authors of Jaime de la Rocha

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime de la Rocha. A scholar is included among the top collaborators of Jaime de la Rocha 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 Jaime de la Rocha. Jaime de la Rocha 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.
Molano‐Mazón, Manuel, et al.. (2024). Rapid, systematic updating of movement by accumulated decision evidence. Nature Communications. 15(1). 10583–10583. 1 indexed citations
2.
Hyafil, Alexandre, et al.. (2023). Temporal integration is a robust feature of perceptual decisions. eLife. 12. 8 indexed citations
3.
Molano‐Mazón, Manuel, et al.. (2023). Recurrent networks endowed with structural priors explain suboptimal animal behavior. Current Biology. 33(4). 622–638.e7. 9 indexed citations
4.
Duque, Daniel, et al.. (2021). Proactive and reactive accumulation-to-bound processes compete during perceptual decisions. Nature Communications. 12(1). 7148–7148. 8 indexed citations
5.
Wimmer, Klaus, et al.. (2021). Flexible categorization in perceptual decision making. Nature Communications. 12(1). 1283–1283. 16 indexed citations
6.
Hyafil, Alexandre, et al.. (2020). Response outcomes gate the impact of expectations on perceptual decisions. Nature Communications. 11(1). 1057–1057. 30 indexed citations
7.
Dalmau, Josep, et al.. (2020). High-Throughput Task to Study Memory Recall During Spatial Navigation in Rodents. Frontiers in Behavioral Neuroscience. 14. 64–64. 3 indexed citations
8.
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
9.
Sakata, Shuzo, et al.. (2015). Stochastic transitions into silence cause noise correlations in cortical circuits. Proceedings of the National Academy of Sciences. 112(11). 3529–3534. 50 indexed citations
10.
Renart, Alfonso, Jaime de la Rocha, Péter Barthó, et al.. (2010). The Asynchronous State in Cortical Circuits. Science. 327(5965). 587–590. 740 indexed citations breakdown →
11.
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
12.
Rocha, Jaime de la, Cristina Marchetti, Max Schiff, & Alex D. Reyes. (2008). Linking the Response Properties of Cells in Auditory Cortex with Network Architecture: Cotuning versus Lateral Inhibition. Journal of Neuroscience. 28(37). 9151–9163. 60 indexed citations
13.
Rocha, Jaime de la & Néstor Parga. (2008). Thalamocortical transformations of periodic stimuli: the effect of stimulus velocity and synaptic short-term depression in the vibrissa–barrel system. Journal of Computational Neuroscience. 25(1). 122–140. 3 indexed citations
14.
Shea‐Brown, Eric, Krešimir Josić́, Jaime de la Rocha, & Brent Doiron. (2008). Correlation and Synchrony Transfer in Integrate-and-Fire Neurons: Basic Properties and Consequences for Coding. Physical Review Letters. 100(10). 108102–108102. 108 indexed citations
15.
Rocha, Jaime de la, Brent Doiron, Eric Shea‐Brown, Krešimir Josić́, & Alex D. Reyes. (2007). Correlation between neural spike trains increases with firing rate. Nature. 448(7155). 802–806. 491 indexed citations
16.
Rocha, Jaime de la & Néstor Parga. (2005). Short-Term Synaptic Depression Causes a Non-Monotonic Response to Correlated Stimuli. Journal of Neuroscience. 25(37). 8416–8431. 56 indexed citations
17.
Rocha, Jaime de la, Rubén Moreno‐Bote, & Néstor Parga. (2004). Correlations modulate the non-monotonic response of a neuron with short-term plasticity. Neurocomputing. 58-60. 313–319. 11 indexed citations
18.
Moreno‐Bote, Rubén, Jaime de la Rocha, Alfonso Renart, & Néstor Parga. (2002). Response of Spiking Neurons to Correlated Inputs. Physical Review Letters. 89(28). 288101–288101. 79 indexed citations
19.
Rocha, Jaime de la, Ángel Nevado, & Néstor Parga. (2002). Information transmission by stochastic synapses with short-term depression: neural coding and optimization. Neurocomputing. 44-46. 85–90. 9 indexed citations
20.
Renart, Alfonso, Rubén Moreno‐Bote, Jaime de la Rocha, Néstor Parga, & Edmund T. Rolls. (2001). A model of the IT-PF network in object working memory which includes balanced persistent activity and tuned inhibition. Neurocomputing. 38-40. 1525–1531. 28 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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