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.
Cross-Language Analysis of Phonetic Units in Language Addressed to Infants
1997635 citationsPatricia K. Kuhl, Jean E. Andruski et al.Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Ulla Sundberg'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 Ulla Sundberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulla Sundberg more than expected).
This network shows the impact of papers produced by Ulla Sundberg. 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 Ulla Sundberg. The network helps show where Ulla Sundberg may publish in the future.
Co-authorship network of co-authors of Ulla Sundberg
This figure shows the co-authorship network connecting the top 25 collaborators of Ulla Sundberg.
A scholar is included among the top collaborators of Ulla Sundberg 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 Ulla Sundberg. Ulla Sundberg is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lacerda, Francisco, et al.. (2009). Major parts-of-speech in child language – division in open and close class words. KTH Publication Database DiVA (KTH Royal Institute of Technology). 126–129.1 indexed citations
5.
Sundberg, Ulla, et al.. (2009). Acoustic characteristics of onomatopoetic expressions in child-directed speech. KTH Publication Database DiVA (KTH Royal Institute of Technology). 40–41.4 indexed citations
6.
Lacerda, Francisco, et al.. (2007). Estimates of Infants’ Vocabulary Composition and the Role of Adult-instructions for Early Word-learning. KTH Publication Database DiVA (KTH Royal Institute of Technology). 53–56.1 indexed citations
7.
Lacerda, Francisco & Ulla Sundberg. (2006). An Ecological Theory of Language Acquisition. SHILAP Revista de lepidopterología. 1(1). 53–106.6 indexed citations
8.
Lacerda, Francisco, et al.. (2005). Emerging Linguistic Functions in Early Infancy. CogPrints (University of Southampton). 8.2 indexed citations
9.
Sundberg, Ulla, et al.. (2004). Integration of audio-visual information in 8-months-old infants. CogPrints (University of Southampton). 143–144.3 indexed citations
10.
Lacerda, Francisco, et al.. (2004). On the linguistic implications of context-bound adult-infant interactions. CogPrints (University of Southampton). 149–150.10 indexed citations
11.
Lacerda, Francisco & Ulla Sundberg. (2004). An echological theory of language learning. The Journal of the Acoustical Society of America. 116(4_Supplement). 2523–2523.2 indexed citations
12.
Sundberg, Ulla. (2001). Consonant specification in infant-directed speech. Some preliminary results from a study of Voice Onset Time in speech to one-year-olds. 49. 148–151.10 indexed citations
Sundberg, Ulla. (1999). QUANTITY IN INFANT-DIRECTED SPEECH.2 indexed citations
15.
Sundberg, Ulla. (1998). Mother tongue - Phonetic Aspects of Infant-Directed Speech. KTH Publication Database DiVA (KTH Royal Institute of Technology).28 indexed citations
16.
Kuhl, Patricia K., et al.. (1997). Cross-Language Analysis of Phonetic Units in Language Addressed to Infants. Science. 277(5326). 684–686.635 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.