Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Linguistic Experience Alters Phonetic Perception in Infants by 6 Months of Age
19921.3k citationsPatricia K. Kuhl, Francisco Lacerda et al.Scienceprofile →
Cross-Language Analysis of Phonetic Units in Language Addressed to Infants
1997635 citationsPatricia K. Kuhl, Ulla Sundberg et al.Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Francisco Lacerda
Since
Specialization
Citations
This map shows the geographic impact of Francisco Lacerda'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 Francisco Lacerda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Lacerda more than expected).
Fields of papers citing papers by Francisco Lacerda
This network shows the impact of papers produced by Francisco Lacerda. 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 Francisco Lacerda. The network helps show where Francisco Lacerda may publish in the future.
Co-authorship network of co-authors of Francisco Lacerda
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Lacerda.
A scholar is included among the top collaborators of Francisco Lacerda 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 Francisco Lacerda. Francisco Lacerda is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lacerda, Francisco. (2012). Money Talks: The Power of Voice : A critical review of Mayew and Ventachalam’s The Power of Voice: Managerial Affective States and Future Firm Performance. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–10.4 indexed citations
7.
Santos-Victor, José, et al.. (2008). Modelling speech imitation.1 indexed citations
8.
Lacerda, Francisco & Ulla Sundberg. (2006). An Ecological Theory of Language Acquisition. SHILAP Revista de lepidopterología. 1(1). 53–106.6 indexed citations
Lacerda, Francisco, et al.. (2005). Multi-sensory information as an improvement for communication systems efficiency. 81–86.2 indexed citations
11.
Sundberg, Ulla, et al.. (2004). Integration of audio-visual information in 8-months-old infants. CogPrints (University of Southampton). 143–144.3 indexed citations
12.
Lacerda, Francisco. (2003). THE PERCEPTUAL-MAGNET EFFECT: AN EMERGENT CONSEQUENCE OF EXEMPLAR-BASED PHONETIC MEMORY.32 indexed citations
Burnham, Denis, et al.. (1996). Facilitation or attenuation in the development of speech mode processing? Tone perception over linguistic contexts. KTH Publication Database DiVA (KTH Royal Institute of Technology). 587–592.5 indexed citations
19.
Kuhl, Patricia K., et al.. (1992). Linguistic Experience Alters Phonetic Perception in Infants by 6 Months of Age. Science. 255(5044). 606–608.1272 indexed citations breakdown →
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.