Pablo León-Villagrá
- Cognitive Neuroscience
- General Decision Sciences
- Statistical and Nonlinear Physics
- Sociology and Political Science
- Artificial Intelligence
- Co-authors
- Adam N. SanbornNick ChaterJian-Qiao ZhuChristopher LucasJohanna K. FalbénDaphna BuchsbaumCristian Buc CalderonMarc–Lluís Vives
- Topics
- Neural dynamics and brain function (3 papers)Topic Modeling (3 papers)Statistical Mechanics and Entropy (3 papers)
- Journals
- Current Directions in Psychological SciencePLoS Computational BiologyPerspectives on Psychological Science
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Pablo León-Villagrá
8 papers receiving 46 citations
Peers
Comparison fields: 5 of 33
- Cognitive Neuroscience 26
- General Decision Sciences 12
- Statistical and Nonlinear Physics 8
- Sociology and Political Science 7
- Artificial Intelligence 7
Countries citing papers authored by Pablo León-Villagrá
This map shows the geographic impact of Pablo León-Villagrá'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 León-Villagrá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo León-Villagrá more than expected).
Fields of papers citing papers by Pablo León-Villagrá
This network shows the impact of papers produced by Pablo León-Villagrá. 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 León-Villagrá. The network helps show where Pablo León-Villagrá may publish in the future.
Co-authorship network of co-authors of Pablo León-Villagrá
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo León-Villagrá. A scholar is included among the top collaborators of Pablo León-Villagrá 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 León-Villagrá. Pablo León-Villagrá is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | Local sampling with momentum accounts for human random sequence generation | 1 |
| 7 | Uncovering Category Representations with Linked MCMC with People. | 1 |
| 8 | 28 | |
| 9 | Exploring the Representation of Linear Functions | 1 |
| 10 | Data Availability and Function Extrapolation | 2 |
About Pablo León-Villagrá
Pablo León-Villagrá is a scholar working on General Decision Sciences, Cultural Studies and Statistical and Nonlinear Physics, having authored 10 papers that have together received 48 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Topic Modeling (3 papers) and Statistical Mechanics and Entropy (3 papers). The work is most often cited by research in General Decision Sciences (12 citations), Cognitive Neuroscience (26 citations) and Health Informatics (1 citation). Pablo León-Villagrá has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Adam N. Sanborn, Nick Chater, Jian-Qiao Zhu, Christopher Lucas, Johanna K. Falbén, Daphna Buchsbaum, Cristian Buc Calderon, Marc–Lluís Vives and Frank Jäkel. Their work appears in journals such as Current Directions in Psychological Science, PLoS Computational Biology and Perspectives on Psychological Science.
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.