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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:

A compositional neural code in high-level visual cortex can explain jumbled word reading
Aakash Agrawal, K Hari, S. P. Arun
eLife (2020) Vol. 9
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Rationalizing constraints on the capacity for cognitive control
Sebastian Musslick, Jonathan D. Cohen
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 9, pp. 757-775
Open Access | Times Cited: 173
Language processing in brains and deep neural networks: computational convergence and its limits
Charlotte Caucheteux, Jean-Rémi King
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 51
Dimensionality and Ramping: Signatures of Sentence Integration in the Dynamics of Brains and Deep Language Models
Théo Desbordes, Yair Lakretz, Valérie Chanoine, et al.
Journal of Neuroscience (2023) Vol. 43, Iss. 29, pp. 5350-5364
Open Access | Times Cited: 16
Emergence of a compositional neural code for written words: Recycling of a convolutional neural network for reading
Thomas Hannagan, Aakash Agrawal, Laurent Cohen, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 46
Open Access | Times Cited: 36
Visual homogeneity computations in the brain enable solving property-based visual tasks
Georgin Jacob, R. T. Pramod, S. P. Arun
eLife (2025) Vol. 13
Open Access
Convolutional networks can model the functional modulation of the MEG responses associated with feed-forward processes during visual word recognition
Marijn van Vliet, Oona Rinkinen, Takao Shimizu, et al.
(2025)
Open Access
On the Rational Boundedness of Cognitive Control: Shared Versus Separated Representations
Sebastian Musslick, Andrew Saxe, Abigail Novick Hoskin, et al.
(2020)
Open Access | Times Cited: 30
An Integrated Model of Semantics and Control
Tyler Giallanza, Declan Campbell, Jonathan Cohen, et al.
(2023)
Open Access | Times Cited: 10
One more trip to Barcetona: on the special status of visual similarity effects in city names
Manuel Perea, Melanie Labusch, María Fernández‐López, et al.
Psychological Research (2023) Vol. 88, Iss. 1, pp. 271-283
Open Access | Times Cited: 9
Are brand names special words? Letter visual‐similarity affects the identification of brand names, but not common words
Manuel Perea, Ana Baciero, Melanie Labusch, et al.
British Journal of Psychology (2022) Vol. 113, Iss. 3, pp. 835-852
Open Access | Times Cited: 14
The lexical categorization model: A computational model of left ventral occipito-temporal cortex activation in visual word recognition
Benjamin Gagl, Fabio Richlan, Philipp Ludersdorfer, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 6, pp. e1009995-e1009995
Open Access | Times Cited: 14
Cracking the neural code for word recognition in convolutional neural networks
Aakash Agrawal, Stanislas Dehaene
PLoS Computational Biology (2024) Vol. 20, Iss. 9, pp. e1012430-e1012430
Open Access | Times Cited: 2
A separable neural code in monkey IT enables perfect CAPTCHA decoding
Harish Katti, S. P. Arun
Journal of Neurophysiology (2022) Vol. 127, Iss. 4, pp. 869-884
Open Access | Times Cited: 12
Reading about a RELO-VUTION
Manuel Perea, Ana Marcet, Ana Baciero, et al.
Psychological Research (2022) Vol. 87, Iss. 4, pp. 1306-1321
Closed Access | Times Cited: 10
Does word flickering improve reading? Negative evidence from four experiments using low and high frequencies
Marie Lubineau, Cassandra Potier Watkins, Hervé Glasel, et al.
Proceedings of the Royal Society B Biological Sciences (2023) Vol. 290, Iss. 2008
Open Access | Times Cited: 4
Characterizing different types of developmental dyslexias in French: The Malabi screener
Cassandra Potier Watkins, Stanislas Dehaene, Naama Friedmann
Cognitive Neuropsychology (2023) Vol. 40, Iss. 7-8, pp. 319-350
Closed Access | Times Cited: 4
Investigating lexical categorization in reading based on joint diagnostic and training approaches for language learners
Benjamin Gagl, Klara Gregorová
npj Science of Learning (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 1
Using compositionality to understand parts in whole objects
S. P. Arun
European Journal of Neuroscience (2022) Vol. 56, Iss. 4, pp. 4378-4392
Open Access | Times Cited: 6
Dimensionality and ramping: Signatures of sentence integration in the dynamics of brains and deep language models
Théo Desbordes, Yair Lakretz, Valérie Chanoine, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Letter processing in upright bigrams predicts reading fluency variations in children.
Aakash Agrawal, Sonali Nag, K Hari, et al.
Journal of Experimental Psychology General (2022) Vol. 151, Iss. 9, pp. 2237-2249
Open Access | Times Cited: 4
Simulating the emergence of the Visual Word Form Area: Recycling a convolutional neural network for reading
Thomas Hannagan, Aakash Agrawal, Laurent Cohen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 4
Visual homogeneity computations in the brain enable solving generic visual tasks
Georgin Jacob, R. T. Pramod, S. P. Arun
(2024)
Open Access
Convolutional networks can model the functional modulation of MEG responses during reading
Marijn van Vliet, Oona Rinkinen, Takao Shimizu, et al.
(2024)
Open Access
Convolutional networks can model the functional modulation of MEG responses during reading
Marijn van Vliet, Oona Rinkinen, Takao Shimizu, et al.
(2024)
Open Access
Visual homogeneity computations in the brain enable solving generic visual tasks
Georgin Jacob, R. T. Pramod, S. P. Arun
eLife (2024)
Open Access
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