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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:

Distributional learning is error-driven: the role of surprise in the acquisition of phonetic categories
Paul Olejarczuk, Vsevolod Kapatsinski, R. Harald Baayen
Linguistics Vanguard (2018) Vol. 4, Iss. s2
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

The role of predictability in shaping phonological patterns
Kathleen Currie Hall, Elizabeth Hume, T. Florian Jaeger, et al.
Linguistics Vanguard (2018) Vol. 4, Iss. s2
Closed Access | Times Cited: 99
Of mice and men: Speech sound acquisition as discriminative learning from prediction error, not just statistical tracking
Jessie S. Nixon
Cognition (2020) Vol. 197, pp. 104081-104081
Open Access | Times Cited: 98
Why is the Rescorla-Wagner model so influential?
Fabián A. Soto, Edgar Vögel, Yerco E. Uribe-Bahamonde, et al.
Neurobiology of Learning and Memory (2023) Vol. 204, pp. 107794-107794
Open Access | Times Cited: 23
What we do (not) know about the mechanisms underlying adaptive speech perception: A computational framework and review
Xin Xie, T. Florian Jaeger, Chigusa Kurumada
Cortex (2023) Vol. 166, pp. 377-424
Open Access | Times Cited: 20
Prediction and error in early infant speech learning: A speech acquisition model
Jessie S. Nixon, Fabian Tomaschek
Cognition (2021) Vol. 212, pp. 104697-104697
Open Access | Times Cited: 27
Learning mechanisms in cue reweighting
Zara Harmon, Kaori Idemaru, Vsevolod Kapatsinski
Cognition (2019) Vol. 189, pp. 76-88
Closed Access | Times Cited: 27
LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words
Elnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig, et al.
Language Cognition and Neuroscience (2021) Vol. 38, Iss. 4, pp. 509-536
Open Access | Times Cited: 22
The Keys to the Future? An Examination of Statistical Versus Discriminative Accounts of Serial Pattern Learning
Fabian Tomaschek, Michael Ramscar, Jessie S. Nixon
Cognitive Science (2024) Vol. 48, Iss. 2
Open Access | Times Cited: 3
Modelling Maltese noun plural classes without morphemes
Jessica Nieder, Fabian Tomaschek, Enum Cohrs, et al.
Language Cognition and Neuroscience (2021) Vol. 37, Iss. 3, pp. 381-402
Open Access | Times Cited: 18
Three steps forward for predictability. Consideration of methodological robustness, indexical and prosodic factors, and replication in the laboratory
Paul Foulkes, Gerard Docherty, Stefanie Shattuck Hufnagel, et al.
Linguistics Vanguard (2018) Vol. 4, Iss. s2
Open Access | Times Cited: 22
Unattended distributional training can shift phoneme boundaries
Kateřina Chládková, Paul Boersma, Paola Escudero
Bilingualism Language and Cognition (2022) Vol. 25, Iss. 5, pp. 827-840
Open Access | Times Cited: 11
Error‐Correction Mechanisms in Language Learning: Modeling Individuals
Adnane Ez‐zizi, Dagmar Divjak, Petar Milin
Language Learning (2023) Vol. 74, Iss. 1, pp. 41-77
Open Access | Times Cited: 5
Syntagmatic paradigms: learning correspondence from contiguity
Amy Smolek, Vsevolod Kapatsinski
Morphology (2023) Vol. 33, Iss. 3, pp. 287-334
Closed Access | Times Cited: 5
Defragmenting Learning
Vsevolod Kapatsinski
Cognitive Science (2023) Vol. 47, Iss. 6
Closed Access | Times Cited: 4
Predictability and phonology: past, present and future
Jason A. Shaw, Shigeto Kawahara
Linguistics Vanguard (2018) Vol. 4, Iss. s2
Open Access | Times Cited: 12
Learning fast while avoiding spurious excitement and overcoming cue competition requires setting unachievable goals: reasons for using the logistic activation function in learning to predict categorical outcomes
Vsevolod Kapatsinski
Language Cognition and Neuroscience (2021) Vol. 38, Iss. 4, pp. 575-596
Closed Access | Times Cited: 9
LDL-AURIS: A computational model, grounded in error-driven learning, for the comprehension of single spoken words
Elnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig, et al.
(2020)
Open Access | Times Cited: 9
Phonetic Realisation and Phonemic Categorisation of the Final Reduced Corner Vowels in the Finnic Languages of Ingria
Natalia Kuznetsova, Vasilisa Verkhodanova
Phonetica (2019) Vol. 76, Iss. 2-3, pp. 201-233
Open Access | Times Cited: 7
Atypical Reinforcement Learning in Developmental Dyslexia
Atheer Massarwe, Noyli Nissan, Yafit Gabay
Journal of the International Neuropsychological Society (2021) Vol. 28, Iss. 3, pp. 270-280
Open Access | Times Cited: 7
Prediction and error in early infant speech learning: a speech acquisition model
Jessie S. Nixon, Fabian Tomaschek
(2021)
Open Access | Times Cited: 7
Temporal response modelling uncovers electrophysiological correlates of trial-by-trial error-driven learning
Tomas O. Lentz, Jessie S. Nixon, Jacolien van Rij
(2021)
Open Access | Times Cited: 5
“All mimsy were the borogoves” – a discriminative learning model of morphological knowledge in pseudo-word inflection
Jessica Nieder, Ruben van de Vijver, Fabian Tomaschek
Language Cognition and Neuroscience (2022) Vol. 38, Iss. 5, pp. 693-710
Open Access | Times Cited: 3
One Cue's Loss Is Another Cue's Gain—Learning Morphophonology Through Unlearning
Erdin Mujezinović, Vsevolod Kapatsinski, Ruben van de Vijver
Cognitive Science (2024) Vol. 48, Iss. 5
Open Access
What do you learn from a single cue? Dimensional reweighting and cue reassociation from experience with a newly unreliable phonetic cue
Vsevolod Kapatsinski, Adam A. Bramlett, Kaori Idemaru
Cognition (2024) Vol. 249, pp. 105818-105818
Closed Access
Associations, chunks, hierarchies, attention, and analogy: What do we need?
Vsevolod Kapatsinski
L’Année psychologique (2024) Vol. N° 142, Iss. 2, pp. 223-228
Closed Access
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