Manuel Beirán

538 total citations
12 papers, 218 citations indexed

About

Manuel Beirán is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Manuel Beirán has authored 12 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Manuel Beirán's work include Neural dynamics and brain function (10 papers), Neural Networks and Applications (4 papers) and Advanced Memory and Neural Computing (4 papers). Manuel Beirán is often cited by papers focused on Neural dynamics and brain function (10 papers), Neural Networks and Applications (4 papers) and Advanced Memory and Neural Computing (4 papers). Manuel Beirán collaborates with scholars based in United States, France and Spain. Manuel Beirán's co-authors include Srdjan Ostojic, Alexis Dubreuil, Francesca Mastrogiuseppe, Jochen C. Rink, Benjamin M. Friedrich, Frank Jülicher, Steffen Werner, Nicolas Meirhaeghe, Mehrdad Jazayeri and Hansem Sohn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Neuron.

In The Last Decade

Manuel Beirán

12 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Beirán United States 7 147 53 52 36 33 12 218
Wesley Clawson United States 7 235 1.6× 30 0.6× 53 1.0× 93 2.6× 35 1.1× 11 309
Leandro M. Alonso United States 11 222 1.5× 15 0.3× 42 0.8× 116 3.2× 24 0.7× 13 343
Matteo Cantarelli United Kingdom 4 116 0.8× 20 0.4× 30 0.6× 77 2.1× 34 1.0× 11 234
Samora Okujeni Germany 7 219 1.5× 19 0.4× 34 0.7× 171 4.8× 53 1.6× 12 268
Pedro J. Gonçalves Germany 9 120 0.8× 44 0.8× 107 2.1× 63 1.8× 28 0.8× 15 290
Najja J. Marshall United States 4 295 2.0× 44 0.8× 17 0.3× 89 2.5× 33 1.0× 5 344
Arno Onken United Kingdom 9 220 1.5× 41 0.8× 84 1.6× 95 2.6× 32 1.0× 19 317
Kenneth W. Latimer United States 8 284 1.9× 30 0.6× 23 0.4× 95 2.6× 36 1.1× 12 323
Jacob A. Zavatone-Veth United States 9 71 0.5× 42 0.8× 27 0.5× 116 3.2× 15 0.5× 19 208
Andrey Palyanov Russia 9 51 0.3× 12 0.2× 107 2.1× 46 1.3× 14 0.4× 19 284

Countries citing papers authored by Manuel Beirán

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Beirán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Beirán

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

All Works

12 of 12 papers shown
1.
Clark, David G. & Manuel Beirán. (2025). Structure of activity in multiregion recurrent neural networks. Proceedings of the National Academy of Sciences. 122(10). e2404039122–e2404039122. 1 indexed citations
2.
Beirán, Manuel & Ashok Litwin-Kumar. (2025). Prediction of neural activity in connectome-constrained recurrent networks. Nature Neuroscience. 28(12). 2561–2574. 1 indexed citations
3.
Kay, Kenneth, Manuel Beirán, Christopher J. Cueva, et al.. (2024). Emergent neural dynamics and geometry for generalization in a transitive inference task. PLoS Computational Biology. 20(4). e1011954–e1011954. 4 indexed citations
4.
Beirán, Manuel, et al.. (2024). Emergent perceptual biases from state-space geometry in trained spiking recurrent neural networks. Cell Reports. 43(7). 114412–114412. 3 indexed citations
5.
Beirán, Manuel, et al.. (2024). Representation of a perceptual bias in the prefrontal cortex. Proceedings of the National Academy of Sciences. 121(50). e2312831121–e2312831121. 2 indexed citations
6.
Beirán, Manuel, Nicolas Meirhaeghe, Hansem Sohn, Mehrdad Jazayeri, & Srdjan Ostojic. (2023). Parametric control of flexible timing through low-dimensional neural manifolds. Neuron. 111(5). 739–753.e8. 24 indexed citations
7.
Akitake, Bradley, Manuel Beirán, Ciana Deveau, et al.. (2023). Amplified cortical neural responses as animals learn to use novel activity patterns. Current Biology. 33(11). 2163–2174.e4. 9 indexed citations
8.
Beirán, Manuel, et al.. (2023). A ‘programming’ framework for recurrent neural networks. Nature Machine Intelligence. 5(6). 570–571. 6 indexed citations
9.
Dubreuil, Alexis, et al.. (2022). The role of population structure in computations through neural dynamics. Nature Neuroscience. 25(6). 783–794. 90 indexed citations
10.
Beirán, Manuel & Srdjan Ostojic. (2019). Contrasting the effects of adaptation and synaptic filtering on the timescales of dynamics in recurrent networks. PLoS Computational Biology. 15(3). e1006893–e1006893. 17 indexed citations
11.
Beirán, Manuel, et al.. (2017). Coding of time-dependent stimuli in homogeneous and heterogeneous neural populations. Journal of Computational Neuroscience. 44(2). 189–202. 10 indexed citations
12.
Werner, Steffen, et al.. (2015). Scaling and Regeneration of Self-Organized Patterns. Physical Review Letters. 114(13). 138101–138101. 51 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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