Fernando Llanos

22 papers and 348 indexed citations i.

About

Fernando Llanos is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Fernando Llanos has authored 22 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Experimental and Cognitive Psychology and 5 papers in Artificial Intelligence. Recurrent topics in Fernando Llanos’s work include Phonetics and Phonology Research (12 papers), Neuroscience and Music Perception (10 papers) and Neural dynamics and brain function (8 papers). Fernando Llanos is often cited by papers focused on Phonetics and Phonology Research (12 papers), Neuroscience and Music Perception (10 papers) and Neural dynamics and brain function (8 papers). Fernando Llanos collaborates with scholars based in United States, France and China. Fernando Llanos's co-authors include Alexander L. Francis, Bharath Chandrasekaran, Zilong Xie, Olga Dmitrieva, Rachel Reetzke, Matthew K. Leonard, Han‐Gyol Yi, Ana García‐Reyne, Manuel Lizasoaín and Christian E. Stilp and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Fernando Llanos i

Fields of papers citing papers by Fernando Llanos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fernando Llanos

Since Specialization
Citations

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

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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2025