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:

The learnability consequences of Zipfian distributions in language
Ori Lavi‐Rotbain, Inbal Arnon
Cognition (2022) Vol. 223, pp. 105038-105038
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Whale song shows language-like statistical structure
Inbal Arnon, Simon Kirby, Jenny Allen, et al.
Science (2025) Vol. 387, Iss. 6734, pp. 649-653
Closed Access | Times Cited: 2

Immature vocalizations elicit simplified adult speech across multiple languages
Steven L. Elmlinger, Jacob A. Levy, Michael H. Goldstein
Current Biology (2025)
Closed Access | Times Cited: 1

Cultural evolution creates the statistical structure of language
Inbal Arnon, Simon Kirby
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

Convergent evolution in whale and human vocal cultures
Andrew Whiten, Mason Youngblood
Science (2025) Vol. 387, Iss. 6734, pp. 581-582
Closed Access

Speech Stream Composition Affects Statistical Learning: Behavioral and Neural Evidence
Ana Paula Soares, D.V.M. Paiva, Alberto Lema, et al.
Brain Sciences (2025) Vol. 15, Iss. 2, pp. 198-198
Open Access

Zipfian Distributions in Child-Directed Speech
Ori Lavi‐Rotbain, Inbal Arnon
Open Mind (2022) Vol. 7, pp. 1-30
Open Access | Times Cited: 14

The sources and consequences of individual differences in statistical learning for language development
Evan Kidd, Joanne Arciuli, Morten H. Christiansen, et al.
Cognitive Development (2023) Vol. 66, pp. 101335-101335
Closed Access | Times Cited: 6

When is a word in good company for learning?
Layla Unger, Tyler A. Chang, Olivera Savic, et al.
Developmental Science (2024) Vol. 27, Iss. 5
Open Access | Times Cited: 1

Textbook English
Elen Le Foll
Studies in corpus linguistics (2024)
Closed Access | Times Cited: 1

Core principles of melodic organisation emerge from transmission chains with random melodies
Tudor Popescu, Martin Rohrmeier
Evolution and Human Behavior (2024) Vol. 45, Iss. 6, pp. 106619-106619
Open Access | Times Cited: 1

A Cognitive Bias for Zipfian Distributions? Uniform Distributions Become More Skewed via Cultural Transmission
Amir Shufaniya, Inbal Arnon
Journal of Language Evolution (2022) Vol. 7, Iss. 1, pp. 59-80
Open Access | Times Cited: 7

When is a Word in Good Company for Learning?
Layla Unger, Tyler A. Chang, Ben Bergen, et al.
(2024)
Open Access

Zipfian distributions facilitate children's learning of novel word-referent mappings
Lucie Wolters, Ori Lavi‐Rotbain, Inbal Arnon
Cognition (2024) Vol. 253, pp. 105932-105932
Closed Access

Methodological reflections

Studies in corpus linguistics (2024), pp. 237-244
Closed Access

Appendices

Studies in corpus linguistics (2024), pp. 291-291
Closed Access

Discussion

Studies in corpus linguistics (2024), pp. 195-203
Closed Access

Acknowledgements

Studies in corpus linguistics (2024), pp. xi-xii
Closed Access

A model of intra-textbook linguistic variation

Studies in corpus linguistics (2024), pp. 140-166
Closed Access

A comparative model of Textbook English vs. ‘real-world’ English

Studies in corpus linguistics (2024), pp. 167-194
Closed Access

Introduction

Studies in corpus linguistics (2024), pp. 1-4
Closed Access

Dedication

Studies in corpus linguistics (2024), pp. v-vi
Closed Access

Conclusions

Studies in corpus linguistics (2024), pp. 245-251
Closed Access

Research aims and corpus data

Studies in corpus linguistics (2024), pp. 64-95
Closed Access

References

Studies in corpus linguistics (2024), pp. 252-289
Closed Access

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