Pablo Balenzuela

2.6k total citations · 1 hit paper
45 papers, 1.7k citations indexed

About

Pablo Balenzuela is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Sociology and Political Science. According to data from OpenAlex, Pablo Balenzuela has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistical and Nonlinear Physics, 17 papers in Cognitive Neuroscience and 10 papers in Sociology and Political Science. Recurrent topics in Pablo Balenzuela's work include Neural dynamics and brain function (16 papers), Opinion Dynamics and Social Influence (16 papers) and Complex Network Analysis Techniques (11 papers). Pablo Balenzuela is often cited by papers focused on Neural dynamics and brain function (16 papers), Opinion Dynamics and Social Influence (16 papers) and Complex Network Analysis Techniques (11 papers). Pablo Balenzuela collaborates with scholars based in Argentina, United States and Spain. Pablo Balenzuela's co-authors include Dante R. Chialvo, Enzo Tagliazucchi, Daniel Fraiman, Ariel Haimovici, Jordi García‐Ojalvo, Jennifer Foss, Pedro Montoya, Carolina Sitges, Ignacio Cifré and C. O. Dorso and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and PLoS ONE.

In The Last Decade

Pablo Balenzuela

41 papers receiving 1.7k citations

Hit Papers

Criticality in Large-Scale Brain fMRI Dynamics Unveiled b... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Balenzuela Argentina 16 1.3k 378 275 163 159 45 1.7k
Daniel Fraiman Argentina 18 1.1k 0.9× 148 0.4× 265 1.0× 163 1.0× 168 1.1× 31 1.6k
Enrico Amico United States 24 1.4k 1.1× 367 1.0× 444 1.6× 112 0.7× 283 1.8× 62 3.1k
Shan Yu China 27 1.6k 1.2× 434 1.1× 142 0.5× 36 0.2× 778 4.9× 95 2.7k
DONALD L. ROWE Australia 19 1.5k 1.2× 267 0.7× 96 0.3× 45 0.3× 371 2.3× 23 1.8k
UnCheol Lee United States 18 1.4k 1.1× 78 0.2× 143 0.5× 57 0.3× 302 1.9× 37 1.7k
Christian Rummel Switzerland 23 1.3k 1.0× 169 0.4× 197 0.7× 22 0.1× 239 1.5× 94 1.9k
Enrico Simonotto United Kingdom 17 908 0.7× 410 1.1× 192 0.7× 49 0.3× 102 0.6× 21 1.4k
Søren Rahn Christensen Denmark 16 908 0.7× 95 0.3× 117 0.4× 46 0.3× 252 1.6× 23 1.2k
Angelo Di Garbo Italy 14 458 0.4× 253 0.7× 61 0.2× 43 0.3× 261 1.6× 63 1.3k

Countries citing papers authored by Pablo Balenzuela

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Balenzuela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Balenzuela

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Balenzuela. A scholar is included among the top collaborators of Pablo Balenzuela 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 Pablo Balenzuela. Pablo Balenzuela 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.
Makse, Hernán A., et al.. (2025). Evaluating the relationship between news source sharing and political beliefs. Scientific Reports. 15(1). 516–516. 1 indexed citations
2.
Balenzuela, Pablo, et al.. (2024). Promoting Erroneous Divergent Opinions Increases the Wisdom of Crowds. Psychological Science. 35(8). 872–886. 1 indexed citations
3.
Tagliazucchi, Enzo, et al.. (2022). News sharing on Twitter reveals emergent fragmentation of media agenda and persistent polarization. EPJ Data Science. 11(1). 48–48. 8 indexed citations
4.
Laufs, Helmut, et al.. (2021). Unconsciousness reconfigures modular brain network dynamics. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(9). 93117–93117. 7 indexed citations
5.
Pinasco, Juan Pablo, et al.. (2021). Analytical approach to the Axelrod model based on similarity vectors. Physical review. E. 103(1). 12307–12307. 1 indexed citations
6.
Navajas, Joaquín, et al.. (2020). Polarizing crowds: Consensus and bipolarization in a persuasive arguments model. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(6). 63141–63141. 8 indexed citations
7.
Balenzuela, Pablo, et al.. (2020). Erdós-Rényi phase transition in the Axelrod model on complete graphs. Physical review. E. 101(5). 52319–52319. 2 indexed citations
8.
Tagliazucchi, Enzo, et al.. (2020). Lessons from being challenged by COVID-19. Chaos Solitons & Fractals. 137. 109923–109923. 25 indexed citations
9.
Balenzuela, Pablo, et al.. (2019). What matters, context or sentiment?: Analysing the influence of news in U.S. elections using Natural Language Processing.. arXiv (Cornell University).
10.
Dorso, C. O., et al.. (2019). Quantifying time-dependent Media Agenda and public opinion by topic modeling. Physica A Statistical Mechanics and its Applications. 524. 614–624. 22 indexed citations
11.
Haimovici, Ariel, Enzo Tagliazucchi, Pablo Balenzuela, & Helmut Laufs. (2017). On wakefulness fluctuations as a source of BOLD functional connectivity dynamics. Scientific Reports. 7(1). 5908–5908. 51 indexed citations
12.
Haimovici, Ariel, Pablo Balenzuela, & Enzo Tagliazucchi. (2016). Dynamical Signatures of Structural Connectivity Damage to a Model of the Brain Posed at Criticality. Brain Connectivity. 6(10). 759–771. 6 indexed citations
13.
Cifré, Ignacio, Carolina Sitges, Daniel Fraiman, et al.. (2011). Disrupted Functional Connectivity of the Pain Network in Fibromyalgia. Psychosomatic Medicine. 74(1). 55–62. 167 indexed citations
14.
Tagliazucchi, Enzo, Pablo Balenzuela, Daniel Fraiman, & Dante R. Chialvo. (2010). Brain resting state is disrupted in chronic back pain patients. Neuroscience Letters. 485(1). 26–31. 157 indexed citations
15.
Balenzuela, Pablo, Ariel Chernomoretz, Daniel Fraiman, et al.. (2010). Modular Organization of Brain Resting State Networks in Chronic Back Pain Patients. Frontiers in Neuroinformatics. 4. 116–116. 53 indexed citations
16.
Fraiman, Daniel, Pablo Balenzuela, Jennifer Foss, & Dante R. Chialvo. (2009). Ising-like dynamics in large-scale functional brain networks. Physical Review E. 79(6). 61922–61922. 140 indexed citations
17.
Manjarrez, Elı́as, Pablo Balenzuela, Jordi García‐Ojalvo, et al.. (2006). Phantom reflexes: Muscle contractions at a frequency not physically present in the input stimuli. Biosystems. 90(2). 379–388. 6 indexed citations
18.
Balenzuela, Pablo & Jordi García‐Ojalvo. (2005). Neural mechanism for binaural pitch perception via ghost stochastic resonance. Chaos An Interdisciplinary Journal of Nonlinear Science. 15(2). 23903–23903. 21 indexed citations
19.
Balenzuela, Pablo, Ariel Chernomoretz, & C. O. Dorso. (2002). Time dependence of critical behavior in multifragmentation. Physical Review C. 66(2). 5 indexed citations
20.
Marconi, V. I., et al.. (2000). Orientational pinning and transverse voltage: Simulations and experiments in square Josephson junction arrays. Physical review. B, Condensed matter. 62(6). 4096–4104. 19 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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