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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Infant Statistical Learning
Jenny R. Saffran, Natasha Z. Kirkham
Annual Review of Psychology (2017) Vol. 69, Iss. 1, pp. 181-203
Open Access | Times Cited: 373

Showing 1-25 of 373 citing articles:

The Developing Infant Creates a Curriculum for Statistical Learning
Linda B. Smith, Swapnaa Jayaraman, Elizabeth M. Clerkin, et al.
Trends in Cognitive Sciences (2018) Vol. 22, Iss. 4, pp. 325-336
Open Access | Times Cited: 257
Statistical learning research: A critical review and possible new directions.
Ram Frost, Blair C. Armstrong, Morten H. Christiansen
Psychological Bulletin (2019) Vol. 145, Iss. 12, pp. 1128-1153
Open Access | Times Cited: 238
Essentials of a Theory of Language Cognition
Nick C. Ellis
Modern Language Journal (2019) Vol. 103, Iss. S1, pp. 39-60
Open Access | Times Cited: 222
Variability and Consistency in Early Language Learning
Michael C. Frank, Mika Braginsky, Daniel Yurovsky, et al.
The MIT Press eBooks (2021)
Closed Access | Times Cited: 155
Agency and Cognitive Development
Michael Tomasello
Oxford University Press eBooks (2024)
Closed Access | Times Cited: 15
Language Development in Context
Meredith L. Rowe, Adriana Weisleder
Annual Review of Developmental Psychology (2020) Vol. 2, Iss. 1, pp. 201-223
Closed Access | Times Cited: 121
The prevalence and importance of statistical learning in human cognition and behavior
Brynn E. Sherman, Kathryn N. Graves, Nicholas B. Turk‐Browne
Current Opinion in Behavioral Sciences (2020) Vol. 32, pp. 15-20
Open Access | Times Cited: 106
Statistical Language Learning in Infancy
Jenny R. Saffran
Child Development Perspectives (2020) Vol. 14, Iss. 1, pp. 49-54
Open Access | Times Cited: 85
Making Sense of the World: Infant Learning From a Predictive Processing Perspective
Moritz Köster, Ezgi Kayhan, Miriam Langeloh, et al.
Perspectives on Psychological Science (2020) Vol. 15, Iss. 3, pp. 562-571
Open Access | Times Cited: 85
Preverbal Infants Discover Statistical Word Patterns at Similar Rates as Adults: Evidence From Neural Entrainment
Dawoon Choi, Laura Batterink, Alexis K. Black, et al.
Psychological Science (2020) Vol. 31, Iss. 9, pp. 1161-1173
Closed Access | Times Cited: 76
A systematic review and Bayesian meta-analysis of the acoustic features of infant-directed speech
Christopher Martin Mikkelsen Cox, Christina Bergmann, Emma Fowler, et al.
Nature Human Behaviour (2022) Vol. 7, Iss. 1, pp. 114-133
Open Access | Times Cited: 68
Lessons from infant learning for unsupervised machine learning
Lorijn Zaadnoordijk, Tarek R. Besold, Rhodri Cusack
Nature Machine Intelligence (2022) Vol. 4, Iss. 6, pp. 510-520
Closed Access | Times Cited: 50
Infants’ Physical Reasoning and the Cognitive Architecture that Supports It
Yi Lin, Maayan Stavans, Renée Baillargeon
Cambridge University Press eBooks (2022), pp. 168-194
Closed Access | Times Cited: 45
Sleeping neonates track transitional probabilities in speech but only retain the first syllable of words
Ana Fló, Lucas Benjamin, Marie Palu, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 42
Childhood unpredictability and the development of exploration
Yuyan Xu, Madeline B. Harms, C. Shawn Green, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 49
Open Access | Times Cited: 23
Changes in statistical learning across development
Tess Allegra Forest, Margaret L. Schlichting, Katherine Duncan, et al.
Nature Reviews Psychology (2023) Vol. 2, Iss. 4, pp. 205-219
Closed Access | Times Cited: 22
The profile of abstract rule learning in infancy: Meta‐analytic and experimental evidence
Hugh Rabagliati, Brock Ferguson, Casey Lew‐Williams
Developmental Science (2018) Vol. 22, Iss. 1
Open Access | Times Cited: 68
Individual Differences in Infant Speech Segmentation: Achieving the Lexical Shift
Evan Kidd, Caroline Junge, Tara Spokes, et al.
Infancy (2018) Vol. 23, Iss. 6, pp. 770-794
Open Access | Times Cited: 66
How Does the Mind Render Streaming Experience as Events?
Dare A. Baldwin, Jessica E. Kosie
Topics in Cognitive Science (2020) Vol. 13, Iss. 1, pp. 79-105
Open Access | Times Cited: 51
The measurement, evolution, and neural representation of action grammars of human behavior
Dietrich Stout, Thierry Chaminade, Jan Apel, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 47
Assessing unpredictability in caregiver–child relationships: Insights from theoretical and empirical perspectives
Elisa Ugarte, Paul D. Hastings
Development and Psychopathology (2023) Vol. 36, Iss. 3, pp. 1070-1089
Open Access | Times Cited: 20
Cultural evolution creates the statistical structure of language
Inbal Arnon, Simon Kirby
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
When learning goes beyond statistics: Infants represent visual sequences in terms of chunks
Lauren K. Slone, Scott P. Johnson
Cognition (2018) Vol. 178, pp. 92-102
Open Access | Times Cited: 47
The Starting Big approach to language learning
Inbal Arnon
Journal of Child Language (2021) Vol. 48, Iss. 5, pp. 937-958
Open Access | Times Cited: 38
Computational and neural mechanisms of statistical pain learning
Flavia Mancini, Suyi Zhang, Ben Seymour
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 26
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