Pablo Balenzuela
- Cognitive Neuroscience top 1%
- Statistical and Nonlinear Physics top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pharmacology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Dante R. ChialvoEnzo TagliazucchiDaniel FraimanAriel HaimoviciJordi García‐OjalvoPedro MontoyaJennifer FossCarolina Sitges
- Topics
- Neural dynamics and brain function (16 papers)Opinion Dynamics and Social Influence (16 papers)Complex Network Analysis Techniques (11 papers)
- Cited by
- Cognitive NeuroscienceStatistical and Nonlinear PhysicsRadiology, Nuclear Medicine and Imaging
- Partner nations
- ArgentinaSpainUnited States
In The Last Decade
Pablo Balenzuela
41 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 1.3k
- Statistical and Nonlinear Physics 378
- Radiology, Nuclear Medicine and Imaging 275
- Pharmacology 163
- Cellular and Molecular Neuroscience 159
Countries citing papers authored by Pablo Balenzuela
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 25 | |
| 10 | What matters, context or sentiment?: Analysing the influence of news in U.S. elections using Natural Language Processing. | 0 |
| 11 | 51 | |
| 12 | 6 | |
| 13 | 33 | |
| 14 | 167 | |
| 15 | 55 | |
| 16 | 157 | |
| 17 | 53 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 51 |
About Pablo Balenzuela
Pablo Balenzuela is a scholar working on Statistical and Nonlinear Physics, Communication and Cognitive Neuroscience, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Opinion Dynamics and Social Influence (16 papers) and Complex Network Analysis Techniques (11 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Statistical and Nonlinear Physics (378 citations) and Radiology, Nuclear Medicine and Imaging (275 citations). Pablo Balenzuela has collaborated with scholars based in Argentina, Spain and United States. Frequent co-authors include Dante R. Chialvo, Enzo Tagliazucchi, Daniel Fraiman, Ariel Haimovici, Jordi García‐Ojalvo, Pedro Montoya, Jennifer Foss, Carolina Sitges, Ignacio Cifré and C. O. Dorso. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and PLoS ONE.
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.