Javier Baladron

637 total citations
18 papers, 350 citations indexed

About

Javier Baladron is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Javier Baladron has authored 18 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 7 papers in Neurology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Javier Baladron's work include Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (7 papers) and Neurological disorders and treatments (7 papers). Javier Baladron is often cited by papers focused on Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (7 papers) and Neurological disorders and treatments (7 papers). Javier Baladron collaborates with scholars based in Germany, Chile and France. Javier Baladron's co-authors include Fred H. Hamker, Olivier Faugeras, Jonathan Touboul, Julien Vitay, David J. B. Lloyd, James Rankin, Daniele Avitabile, Grégory Faye, Atsushi Nambu and Petra Ritter and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Trends in Neurosciences.

In The Last Decade

Javier Baladron

16 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Baladron Germany 11 206 88 80 72 47 18 350
Juhan Aru Switzerland 8 367 1.8× 32 0.4× 125 1.6× 27 0.4× 20 0.4× 15 491
Stefano Cardanobile Germany 11 280 1.4× 128 1.5× 196 2.5× 83 1.2× 43 0.9× 20 493
P. M. Drysdale Australia 10 539 2.6× 60 0.7× 118 1.5× 90 1.3× 34 0.7× 15 726
Kevin Dolan Germany 11 393 1.9× 176 2.0× 116 1.4× 82 1.1× 140 3.0× 17 604
Elakkat D. Gireesh United States 7 258 1.3× 76 0.9× 107 1.3× 37 0.5× 23 0.5× 12 340
Takuma Tanaka Japan 12 150 0.7× 65 0.7× 92 1.1× 16 0.2× 80 1.7× 49 432
Ilya V. Sysoev Russia 13 337 1.6× 237 2.7× 164 2.0× 11 0.2× 160 3.4× 84 542
Felix Siebenhühner Finland 10 566 2.7× 68 0.8× 86 1.1× 7 0.1× 47 1.0× 17 720
Richard Gast Germany 9 161 0.8× 43 0.5× 61 0.8× 33 0.5× 55 1.2× 13 241
Michèle S. Titcombe Canada 6 54 0.3× 90 1.0× 76 0.9× 76 1.1× 58 1.2× 8 309

Countries citing papers authored by Javier Baladron

Since Specialization
Citations

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

Fields of papers citing papers by Javier Baladron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Baladron

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

All Works

18 of 18 papers shown
1.
Hamker, Fred H., Javier Baladron, & Lieneke Janssen. (2025). Interacting cortico-basal ganglia-thalamocortical loops shape behavioral control through cognitive maps and shortcuts. Trends in Neurosciences. 48(11). 841–852.
2.
Baladron, Javier, et al.. (2023). The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach. PLoS Computational Biology. 19(4). e1011024–e1011024. 21 indexed citations
3.
Baladron, Javier, et al.. (2023). Exploration behavior after reversals is predicted by STN-GPe synaptic plasticity in a basal ganglia model. iScience. 26(5). 106599–106599. 5 indexed citations
4.
Baladron, Javier. (2023). NOVEDADES EN TORNO A LA VIDA Y OBRA DE LOS ESCULTORES ALONSO (1625-1680/1681) Y JOSÉ DE ROZAS (1662-1725). SHILAP Revista de lepidopterología. 95–120. 1 indexed citations
5.
Baladron, Javier & Fred H. Hamker. (2023). Re-Thinking the Organization of Cortico-Basal Ganglia-Thalamo-Cortical Loops. Cognitive Computation. 16(5). 2405–2410. 3 indexed citations
6.
Baladron, Javier, et al.. (2022). BOLD Monitoring in the Neural Simulator ANNarchy. Frontiers in Neuroinformatics. 16. 790966–790966. 2 indexed citations
7.
Baladron, Javier, et al.. (2022). Enhanced habit formation in Tourette patients explained by shortcut modulation in a hierarchical cortico-basal ganglia model. Brain Structure and Function. 227(3). 1031–1050. 8 indexed citations
8.
Meier, J., Dionysios Perdikis, Leon Stefanovski, et al.. (2022). Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean-field model with The Virtual Brain. Experimental Neurology. 354. 114111–114111. 35 indexed citations
9.
Perdikis, Dionysios, Leon Stefanovski, Qin Liu, et al.. (2021). Multiscale co-simulation of deep brain stimulation with The Virtual Brain. Brain stimulation. 14(6). 1713–1713. 2 indexed citations
10.
Baladron, Javier & Fred H. Hamker. (2020). Habit learning in hierarchical cortex–basal ganglia loops. European Journal of Neuroscience. 52(12). 4613–4638. 17 indexed citations
11.
Baladron, Javier, et al.. (2020). A computational model‐based analysis of basal ganglia pathway changes in Parkinson’s disease inferred from resting‐state fMRI. European Journal of Neuroscience. 53(7). 2278–2295. 14 indexed citations
12.
Baladron, Javier, et al.. (2020). A spiking model of basal ganglia dynamics in stopping behavior supported by arkypallidal neurons. European Journal of Neuroscience. 53(7). 2296–2321. 11 indexed citations
13.
Baladron, Javier, Julien Vitay, Henning Schroll, et al.. (2018). On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach. Journal of Neuroscience. 38(44). 9551–9562. 22 indexed citations
14.
Baladron, Javier, Atsushi Nambu, & Fred H. Hamker. (2017). The subthalamic nucleus‐external globus pallidus loop biases exploratory decisions towards known alternatives: a neuro‐computational study. European Journal of Neuroscience. 49(6). 754–767. 19 indexed citations
15.
Baladron, Javier & Fred H. Hamker. (2015). A spiking neural network based on the basal ganglia functional anatomy. Neural Networks. 67. 1–13. 21 indexed citations
16.
Rankin, James, Daniele Avitabile, Javier Baladron, Grégory Faye, & David J. B. Lloyd. (2014). Continuation of Localized Coherent Structures in Nonlocal Neural Field Equations. SIAM Journal on Scientific Computing. 36(1). B70–B93. 42 indexed citations
17.
Baladron, Javier, et al.. (2012). Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons. PubMed. 2(1). 10–10. 105 indexed citations
18.
Baladron, Javier, et al.. (2011). Three Applications of GPU Computing in Neuroscience. Computing in Science & Engineering. 14(3). 40–47. 22 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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