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:

Tracking the implicit acquisition of nonadjacent transitional probabilities by ERPs
Andrea Kóbor, Kata Horváth, Zsófia Kardos, et al.
Memory & Cognition (2019) Vol. 47, Iss. 8, pp. 1546-1566
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

The complexity of measuring reliability in learning tasks: An illustration using the Alternating Serial Reaction Time Task
Bence Csaba Farkas, Attila Krajcsi, Karolina Janacsek, et al.
Behavior Research Methods (2023) Vol. 56, Iss. 1, pp. 301-317
Open Access | Times Cited: 28

Mind wandering enhances statistical learning
Teodóra Vékony, Bence Csaba Farkas, Bianka Brezóczki, et al.
iScience (2025) Vol. 28, Iss. 2, pp. 111703-111703
Closed Access

Sequence-dependent predictive coding during the learning and rewiring of skills
Ádám Takács, Teodóra Vékony, Felipe Pedraza, et al.
Cerebral Cortex (2025) Vol. 35, Iss. 2
Closed Access

Perceiving structure in unstructured stimuli: Implicitly acquired prior knowledge impacts the processing of unpredictable transitional probabilities
Andrea Kóbor, Kata Horváth, Zsófia Kardos, et al.
Cognition (2020) Vol. 205, pp. 104413-104413
Open Access | Times Cited: 31

Tracking human skill learning with a hierarchical Bayesian sequence model
Noémi Éltető, Dezső Németh, Karolina Janacsek, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 11, pp. e1009866-e1009866
Open Access | Times Cited: 18

Divided attention does not affect the acquisition and consolidation of transitional probabilities
Kata Horváth, Csenge Török, Orsolya Pesthy, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 27

Neurophysiological and functional neuroanatomical coding of statistical and deterministic rule information during sequence learning
Ádám Takács, Andrea Kóbor, Zsófia Kardos, et al.
Human Brain Mapping (2021) Vol. 42, Iss. 10, pp. 3182-3201
Open Access | Times Cited: 21

Modality-specific and modality-independent neural representations work in concert in predictive processes during sequence learning
Teodóra Vékony, Ádám Takács, Felipe Pedraza, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 12, pp. 7783-7796
Open Access | Times Cited: 7

Implicit anticipation of probabilistic regularities: Larger CNV emerges for unpredictable events
Andrea Kóbor, Zsófia Kardos, Kata Horváth, et al.
Neuropsychologia (2021) Vol. 156, pp. 107826-107826
Open Access | Times Cited: 16

Finding Pattern in the Noise: Persistent Implicit Statistical Knowledge Impacts the Processing of Unpredictable Stimuli
Andrea Kóbor, Karolina Janacsek, Petra Hermann, et al.
Journal of Cognitive Neuroscience (2024) Vol. 36, Iss. 7, pp. 1239-1264
Open Access | Times Cited: 2

Comparing the motivational value of rewards and losses in an EEG‐pupillometry study
Thomas Carsten, Mariam Kostandyan, C. Nico Boehler, et al.
European Journal of Neuroscience (2020) Vol. 53, Iss. 6, pp. 1822-1838
Open Access | Times Cited: 15

Tracking the contribution of inductive bias to individualised internal models
Balázs Török, Dávid Nagy, Mariann Kiss, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 6, pp. e1010182-e1010182
Open Access | Times Cited: 9

A neurophysiological perspective on the integration between incidental learning and cognitive control
Ádám Takács, Christian Beste
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 5

Error Processing During the Online Retrieval of Probabilistic Sequence Knowledge
Kata Horváth, Zsófia Kardos, Ádám Takács, et al.
Journal of Psychophysiology (2020) Vol. 35, Iss. 2, pp. 61-75
Open Access | Times Cited: 12

Neural representations of statistical and rule‐based predictions in Gilles de la Tourette syndrome
Ádám Takács, Eszter Tóth-Fáber, Lina Schubert, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 8
Open Access | Times Cited: 1

Not All Words Are Equally Acquired: Transitional Probabilities and Instructions Affect the Electrophysiological Correlates of Statistical Learning
Ana Paula Soares, Francisco-Javier Gutiérrez-Domínguez, Margarida Angélica da Silva Vasconcelos, et al.
Frontiers in Human Neuroscience (2020) Vol. 14
Open Access | Times Cited: 11

Explicit instruction differentially affects subcomponents of procedural learning and consolidation
Kata Horváth, Csenge Török, Orsolya Pesthy, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018), pp. 433243
Open Access | Times Cited: 10

Intention to learn differentially affects subprocesses of procedural learning and consolidation: Evidence from a probabilistic sequence learning task
Kata Horváth, Csenge Török, Orsolya Pesthy, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Closed Access | Times Cited: 9

Tracking human skill learning with a hierarchical Bayesian sequence model
Noémi Éltető, Dezső Németh, Karolina Janacsek, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 6

Mind wandering enhances predictive processing
Teodóra Vékony, Bence Csaba Farkas, Bianka Brezóczki, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2

Perceiving structure in unstructured stimuli: Implicitly acquired prior knowledge impacts the processing of unpredictable transitional probabilities
Andrea Kóbor, Kata Horváth, Zsófia Kardos, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 4

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