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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:

Testing the Predictions of Surprisal Theory in 11 Languages
Ethan G. Wilcox, Tiago Pimentel, Clara Meister, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 1451-1470
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Large-scale evidence for logarithmic effects of word predictability on reading time
Cory Shain, Clara Meister, Tiago Pimentel, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 10
Open Access | Times Cited: 26
Large-scale benchmark yields no evidence that language model surprisal explains syntactic disambiguation difficulty
Kuan‐Jung Huang, Suhas Arehalli, Mari Kugemoto, et al.
Journal of Memory and Language (2024) Vol. 137, pp. 104510-104510
Closed Access | Times Cited: 9
Large-Scale Evidence for Logarithmic Effects of Word Predictability on Reading Time
Cory Shain, Clara Meister, Tiago Pimentel, et al.
(2022)
Open Access | Times Cited: 35
Word length and frequency effects on text reading are highly similar in 12 alphabetic languages
Victor Kuperman, Sascha Schroeder, Daniil Gnetov
Journal of Memory and Language (2023) Vol. 135, pp. 104497-104497
Open Access | Times Cited: 12
Word Frequency and Predictability Dissociate in Naturalistic Reading
Cory Shain
Open Mind (2024) Vol. 8, pp. 177-201
Open Access | Times Cited: 4
The Beijing Sentence Corpus II: A cross-script comparison between traditional and simplified Chinese sentence reading
Ming Yan, Jinger Pan, Reinhold Kliegl
Behavior Research Methods (2025) Vol. 57, Iss. 2
Open Access
Informativity enhances memory robustness against interference in sentence comprehension
Weijie Xu, Richard Futrell
Journal of Memory and Language (2025) Vol. 142, pp. 104603-104603
Open Access
The Multilingual Eye-Movement Corpus (MECO): A Collection of Eye-Tracking Reading Data Worldwide
Noam Siegelman, Victor Kuperman
Elsevier eBooks (2025)
Closed Access
The Eye Movement Database of Passage Reading in Vertically Written Traditional Mongolian
Yaqian Bao, Xingshan Li, Victor Kuperman
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Influence of the surprisal power adjustment on spoken word duration in emotional speech in Serbian
Jelena M. Lazić, Sanja Vujnović
Computer Speech & Language (2025), pp. 101803-101803
Closed Access
Mouse Tracking for Reading (MoTR): A new naturalistic incremental processing measurement tool
Ethan Wilcox, Cui Ding, Mrinmaya Sachan, et al.
Journal of Memory and Language (2024) Vol. 138, pp. 104534-104534
Open Access | Times Cited: 3
An information-theoretic analysis of targeted regressions during reading
Ethan Wilcox, Tiago Pimentel, Clara Meister, et al.
Cognition (2024) Vol. 249, pp. 105765-105765
Open Access | Times Cited: 2
Word Forms Reflect Trade‐Offs Between Speaker Effort and Robust Listener Recognition
Stephan C. Meylan, Thomas L. Griffiths
Cognitive Science (2024) Vol. 48, Iss. 7
Open Access | Times Cited: 2
Cloze probability, predictability ratings, and computational estimates for 205 English sentences, aligned with existing EEG and reading time data
Andrea Gregor de Varda, Marco Marelli, Simona Amenta
Behavior Research Methods (2023) Vol. 56, Iss. 5, pp. 5190-5213
Open Access | Times Cited: 5
Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship?
Sathvik Nair, Philip Resnik
(2023), pp. 11251-11260
Open Access | Times Cited: 4
Word Frequency and Predictability Dissociate in Naturalistic Reading
Cory Shain
(2023)
Open Access | Times Cited: 2
Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages
Ethan Wilcox, Clara Meister, Ryan Cotterell, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 7503-7511
Open Access | Times Cited: 2
An Information-Theoretic Analysis of Targeted Regressions during Reading
Ethan Wilcox, Tiago Pimentel, Clara Meister, et al.
(2024)
Open Access
Limited cognitive resources reduce the language predictability benefit across the adult lifespan
Merle Schuckart, Sandra Martin, Sarah Tune, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
On the Mathematical Relationship Between Contextual Probability and N400 Amplitude
James A. Michaelov, Benjamin Bergen
Open Mind (2024) Vol. 8, pp. 859-897
Open Access
Moving beyond word frequency based on tally counting: AI-generated familiarity estimates of words and phrases are a better index of language knowledge
Marc Brysbaert, Pedro Reviriego Vasallo, Gonzalo J. Martinez
(2024)
Open Access
Grammar and Expectation in Active Dependency Resolution: Experimental and Modeling Evidence From Norwegian
Anastasia Kobzeva, Dave Kush
Cognitive Science (2024) Vol. 48, Iss. 10
Open Access
Prediction in reading: A review of predictability effects, their theoretical implications, and beyond
Roslyn Wong, Erik D. Reichle, Aaron Veldre
Psychonomic Bulletin & Review (2024)
Open Access
Readers have to work harder to understand a badly translated text: an eye-tracking study into the effects of translation errors
Bogusława Whyatt, Ewa Tomczak, Olga Witczak, et al.
Perspectives (2024), pp. 1-21
Open Access
Predicting Human Translation Difficulty with Neural Machine Translation
Zheng Wei Lim, Ekaterina Vylomova, Charles Kemp, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1479-1496
Closed Access
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