Alfonso Renart

4.2k total citations · 1 hit paper
25 papers, 1.8k citations indexed

About

Alfonso Renart is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Alfonso Renart has authored 25 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Alfonso Renart's work include Neural dynamics and brain function (22 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Applications (5 papers). Alfonso Renart is often cited by papers focused on Neural dynamics and brain function (22 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Applications (5 papers). Alfonso Renart collaborates with scholars based in Spain, Portugal and United Kingdom. Alfonso Renart's co-authors include Néstor Parga, Jaime de la Rocha, Péter Barthó, Kenneth D. Harris, Alex D. Reyes, Xiao‐Jing Wang, Christian K. Machens, Rubén Moreno‐Bote, Edmund T. Rolls and Zachary F. Mainen and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

Alfonso Renart

25 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Asynchronous State in Cortical Circuits

2010 740 citations Alfonso Renart, Jaime de la Rocha et al. Science profile →

Peers

Alfonso Renart

CN

CMN

SNP

EEE

AI

Maurizio Mattia Italy

Jaime de la Rocha Spain

Srdjan Ostojic France

Arvind Kumar Germany

Kanaka Rajan United States

Rubén Moreno‐Bote Spain

Marc-Oliver Gewaltig Germany

Hamutal Slovin Israel

Artur Luczak Canada

Andreas K. Kreiter Germany

Maurizio Mattia Italy

Alfonso Renart

1.8k ×1.1

CN

839 ×1.1

CMN

379 ×1.0

SNP

387 ×1.1

EEE

145 ×0.8

AI

Citations per year, relative to Alfonso Renart Alfonso Renart (= 1×) peers Maurizio Mattia

Countries citing papers authored by Alfonso Renart

Since Specialization

Citations

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

Fields of papers citing papers by Alfonso Renart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfonso Renart

This figure shows the co-authorship network connecting the top 25 collaborators of Alfonso Renart. A scholar is included among the top collaborators of Alfonso Renart 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 Alfonso Renart. Alfonso Renart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Cazettes, Fanny, et al.. (2025). Facial expressions in mice reveal latent cognitive variables and their neural correlates. Nature Neuroscience. 28(11). 2310–2318. 1 indexed citations

2.

Renart, Alfonso, et al.. (2024). Differential representation of sensory information and behavioral choice across layers of the mouse auditory cortex. Current Biology. 34(10). 2200–2211.e6. 1 indexed citations

3.

Renart, Alfonso, et al.. (2023). Ratphones: An Affordable Tool for Highly Controlled Sound Presentation in Freely Moving Rats. eNeuro. 10(5). ENEURO.0028–23.2023. 1 indexed citations

4.

Cazettes, Fanny, Luca Mazzucato, Masayoshi Murakami, et al.. (2023). A reservoir of foraging decision variables in the mouse brain. Nature Neuroscience. 26(5). 840–849. 19 indexed citations

5.

Reato, Davide, et al.. (2023). Response outcome gates the effect of spontaneous cortical state fluctuations on perceptual decisions. eLife. 12. 4 indexed citations

6.

Cazettes, Fanny, et al.. (2020). Phasic Activation of Dorsal Raphe Serotonergic Neurons Increases Pupil Size. Current Biology. 31(1). 192–197.e4. 77 indexed citations

7.

Pardo‐Vázquez, José L., et al.. (2019). The mechanistic foundation of Weber’s law. Nature Neuroscience. 22(9). 1493–1502. 45 indexed citations

8.

Kobak, Dmitry, et al.. (2019). State-dependent geometry of population activity in rat auditory cortex. eLife. 8. 12 indexed citations

9.

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

10.

Renart, Alfonso & Christian K. Machens. (2014). Variability in neural activity and behavior. Current Opinion in Neurobiology. 25. 211–220. 133 indexed citations

11.

Renart, Alfonso & Mark C. W. van Rossum. (2011). Transmission of Population-Coded Information. Neural Computation. 24(2). 391–407. 12 indexed citations

12.

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

13.

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 →

14.

Moreno‐Bote, Rubén, Alfonso Renart, & Néstor Parga. (2008). Theory of Input Spike Auto- and Cross-Correlations and Their Effect on the Response of Spiking Neurons. Neural Computation. 20(7). 1651–1705. 41 indexed citations

15.

Renart, Alfonso, et al.. (2003). Robust Spatial Working Memory through Homeostatic Synaptic Scaling in Heterogeneous Cortical Networks. Neuron. 38(3). 473–485. 191 indexed citations

16.

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

17.

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

18.

Rolls, Edmund T., et al.. (2000). A recurrent model of transformation invariance by association. Neural Networks. 13(2). 225–237. 9 indexed citations

19.

Renart, Alfonso, Néstor Parga, & Edmund T. Rolls. (1999). A Recurrent Model of the Interaction Between Prefrontal and Inferotemporal Cortex in Delay Tasks. Neural Information Processing Systems. 12. 171–177. 2 indexed citations

20.

Renart, Alfonso, Néstor Parga, & Edmund T. Rolls. (1999). Backward Projections in the Cerebral Cortex: Implications for Memory Storage. Neural Computation. 11(6). 1349–1388. 25 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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