Fernando Llanos
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Linguistics and Language top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Co-authors
- Alexander L. FrancisBharath ChandrasekaranOlga DmitrievaZilong XieRachel ReetzkeHan‐Gyol YiMatthew K. LeonardKeith R. Kluender
- Topics
- Phonetics and Phonology Research (13 papers)Neuroscience and Music Perception (9 papers)Neural dynamics and brain function (7 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesFranceHong Kong
In The Last Decade
Fernando Llanos
20 papers receiving 370 citations
Peers
Comparison fields: 5 of 53
- Experimental and Cognitive Psychology 221
- Cognitive Neuroscience 159
- Linguistics and Language 133
- Artificial Intelligence 93
- Signal Processing 56
Countries citing papers authored by Fernando Llanos
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).
Fields of papers citing papers by Fernando Llanos
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.
Co-authorship network of co-authors of Fernando Llanos
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Llanos. A scholar is included among the top collaborators of Fernando Llanos 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 Fernando Llanos. Fernando Llanos 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 37 | |
| 10 | 7 | |
| 11 | 52 | |
| 12 | 22 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 37 | |
| 19 | 87 | |
| 20 | 26 |
About Fernando Llanos
Fernando Llanos is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language and Cognitive Neuroscience, having authored 22 papers that have together received 389 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (13 papers), Neuroscience and Music Perception (9 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Linguistics and Language (133 citations), Experimental and Cognitive Psychology (221 citations) and Cognitive Neuroscience (159 citations). Fernando Llanos has collaborated with scholars based in United States, France and Hong Kong. Frequent co-authors include Alexander L. Francis, Bharath Chandrasekaran, Olga Dmitrieva, Zilong Xie, Rachel Reetzke, Han‐Gyol Yi, Matthew K. Leonard, Keith R. Kluender, Fernando Cháves and Francisco López‐Medrano. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.