Fernando Llanos

604 total citations
22 papers, 389 citations indexed

About

Fernando Llanos is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Fernando Llanos has authored 22 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 13 papers in Experimental and Cognitive Psychology and 5 papers in Signal Processing. Recurrent topics in Fernando Llanos's work include Phonetics and Phonology Research (13 papers), Neuroscience and Music Perception (9 papers) and Neural dynamics and brain function (7 papers). Fernando Llanos is often cited by papers focused on Phonetics and Phonology Research (13 papers), Neuroscience and Music Perception (9 papers) and Neural dynamics and brain function (7 papers). Fernando Llanos collaborates with scholars based in United States, France and Hong Kong. Fernando Llanos's co-authors include Alexander L. Francis, Bharath Chandrasekaran, Zilong Xie, Olga Dmitrieva, Rachel Reetzke, Matthew K. Leonard, Han‐Gyol Yi, Christian E. Stilp, José María Aguado and Francisco López‐Medrano and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Fernando Llanos

20 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Llanos United States 9 221 159 133 93 56 22 389
Meredith Brown United States 12 284 1.3× 324 2.0× 62 0.5× 98 1.1× 34 0.6× 27 485
Rieko Kubo Japan 8 296 1.3× 181 1.1× 136 1.0× 121 1.3× 82 1.5× 27 402
Lennart Nord Sweden 11 232 1.0× 69 0.4× 57 0.4× 153 1.6× 87 1.6× 29 376
Drew Jordan McLaughlin United States 8 150 0.7× 174 1.1× 46 0.3× 26 0.3× 62 1.1× 18 252
John W. Hawks United States 10 101 0.5× 225 1.4× 35 0.3× 42 0.5× 94 1.7× 22 334
David C. Bennett United States 7 103 0.5× 50 0.3× 33 0.2× 42 0.5× 17 0.3× 15 260
Kelly Miles Australia 7 129 0.6× 186 1.2× 59 0.4× 35 0.4× 36 0.6× 22 298
Terrin N. Tamati United States 14 199 0.9× 504 3.2× 62 0.5× 57 0.6× 187 3.3× 56 628
Rebecca Scarborough United States 11 459 2.1× 120 0.8× 255 1.9× 188 2.0× 70 1.3× 29 516
Jane Wozniak United States 6 253 1.1× 219 1.4× 23 0.2× 62 0.7× 88 1.6× 8 341

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).

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.

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

20 of 20 papers shown
1.
Llanos, Fernando, Jasmine L. Hect, James Sneed German, et al.. (2025). Cortical processing of discrete prosodic patterns in continuous speech. Nature Communications. 16(1). 1947–1947. 1 indexed citations
2.
Llanos, Fernando, et al.. (2023). The relationship between sentence intelligibility, band importance, and signal covariance. SHILAP Revista de lepidopterología. 3(5).
3.
Law, Stephanie, Marco Tovar, Molly F. Franke, et al.. (2023). Low detection rate of RT-PCR-confirmed COVID-19 using IgM/IgG rapid antibody tests in a large community sample in Lima, Peru. BMC Infectious Diseases. 23(1). 62–62. 1 indexed citations
4.
5.
Zhao, T. Christina, Fernando Llanos, Bharath Chandrasekaran, & Patricia K. Kuhl. (2022). Language experience during the sensitive period narrows infants’ sensory encoding of lexical tones—Music intervention reverses it. Frontiers in Human Neuroscience. 16. 941853–941853. 3 indexed citations
6.
Llanos, Fernando, T. Christina Zhao, Patricia K. Kuhl, & Bharath Chandrasekaran. (2022). The emergence of idiosyncratic patterns in the frequency-following response during the first year of life. SHILAP Revista de lepidopterología. 2(5). 54401–54401. 2 indexed citations
7.
Llanos, Fernando, et al.. (2021). The neural processing of pitch accents in continuous speech. Neuropsychologia. 158. 107883–107883. 8 indexed citations
8.
Feng, Gangyi, et al.. (2020). A distributed dynamic brain network mediates linguistic tone representation and categorization. NeuroImage. 224. 117410–117410. 8 indexed citations
9.
Llanos, Fernando, et al.. (2020). Non-invasive peripheral nerve stimulation selectively enhances speech category learning in adults. npj Science of Learning. 5(1). 12–12. 37 indexed citations
10.
Paulon, Giorgio, Fernando Llanos, Bharath Chandrasekaran, & Abhra Sarkar. (2020). Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults. Journal of the American Statistical Association. 116(535). 1114–1127. 7 indexed citations
11.
Reetzke, Rachel, Zilong Xie, Fernando Llanos, & Bharath Chandrasekaran. (2018). Tracing the Trajectory of Sensory Plasticity across Different Stages of Speech Learning in Adulthood. Current Biology. 28(9). 1419–1427.e4. 52 indexed citations
12.
Llanos, Fernando, Zilong Xie, & Bharath Chandrasekaran. (2017). Hidden Markov modeling of frequency-following responses to Mandarin lexical tones. Journal of Neuroscience Methods. 291. 101–112. 22 indexed citations
13.
Wang, Yuanyuan, Fernando Llanos, & Amanda Seidl. (2017). Infants adapt to speaking rate differences in word segmentation. The Journal of the Acoustical Society of America. 141(4). 2569–2578. 4 indexed citations
14.
Llanos, Fernando, Zilong Xie, & Bharath Chandrasekaran. (2017). Decoding linguistically-relevant pitch patterns from frequency-following responses using hidden Markov models. The Journal of the Acoustical Society of America. 141(5_Supplement). 3702–3702. 1 indexed citations
15.
Llanos, Fernando, Joshua M. Alexander, Christian E. Stilp, & Keith R. Kluender. (2017). Power spectral entropy as an information-theoretic correlate of manner of articulation in American English. The Journal of the Acoustical Society of America. 141(2). EL127–EL133. 12 indexed citations
16.
Llanos, Fernando & Alexander L. Francis. (2016). The Effects of Language Experience and Speech Context on the Phonetic Accommodation of English-accented Spanish Voicing. Language and Speech. 60(1). 3–26. 5 indexed citations
17.
Llanos, Fernando, Joshua M. Alexander, & Christian E. Stilp. (2015). Shannon entropy predicts the sonority status of natural classes in English. The Journal of the Acoustical Society of America. 137(4_Supplement). 2305–2305. 1 indexed citations
18.
19.
Francis, Alexander L., et al.. (2012). Differential cue weighting in perception and production of consonant voicing. The Journal of the Acoustical Society of America. 132(2). EL95–EL101. 87 indexed citations
20.
Juan, Rafael San, Ana García‐Reyne, Fernando Cháves, et al.. (2010). Safety and Efficacy of Moxifloxacin Monotherapy for Treatment of Orthopedic Implant-Related Staphylococcal Infections. Antimicrobial Agents and Chemotherapy. 54(12). 5161–5166. 26 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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