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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:

Statistical methods for linguistic research: Foundational Ideas—Part II
Bruno Nicenboim, Shravan Vasishth
Language and Linguistics Compass (2016) Vol. 10, Iss. 11, pp. 591-613
Open Access | Times Cited: 150

Showing 1-25 of 150 citing articles:

Balancing Type I error and power in linear mixed models
Hannes Matuschek, Reinhold Kliegl, Shravan Vasishth, et al.
Journal of Memory and Language (2017) Vol. 94, pp. 305-315
Open Access | Times Cited: 726
Bayesian data analysis in the phonetic sciences: A tutorial introduction
Shravan Vasishth, Bruno Nicenboim, Mary E. Beckman, et al.
Journal of Phonetics (2018) Vol. 71, pp. 147-161
Open Access | Times Cited: 214
Similarity-based interference in sentence comprehension: Literature review and Bayesian meta-analysis
Lena A. Jäger, Felix Engelmann, Shravan Vasishth
Journal of Memory and Language (2017) Vol. 94, pp. 316-339
Open Access | Times Cited: 213
The statistical significance filter leads to overoptimistic expectations of replicability
Shravan Vasishth, Daniela Mertzen, Lena A. Jäger, et al.
Journal of Memory and Language (2018) Vol. 103, pp. 151-175
Open Access | Times Cited: 210
Methodological issues in the study of word stress correlates
Timo B. Roettger, Matthew Gordon
Linguistics Vanguard (2017) Vol. 3, Iss. 1
Closed Access | Times Cited: 201
Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists
Tanner Sorensen, Sven Hohenstein, Shravan Vasishth
The Quantitative Methods for Psychology (2016) Vol. 12, Iss. 3, pp. 175-200
Open Access | Times Cited: 177
False positives and other statistical errors in standard analyses of eye movements in reading
Titus von der Malsburg, Bernhard Angele
Journal of Memory and Language (2016) Vol. 94, pp. 119-133
Open Access | Times Cited: 173
An Introduction to Bayesian Multilevel Models Using brms: A Case Study of Gender Effects on Vowel Variability in Standard Indonesian
Ladislas Nalborczyk, Cédric Batailler, Hélène Lœvenbruck, et al.
Journal of Speech Language and Hearing Research (2019) Vol. 62, Iss. 5, pp. 1225-1242
Open Access | Times Cited: 145
The Oxford History of Phonology

Oxford University Press eBooks (2022)
Open Access | Times Cited: 106
Workflow techniques for the robust use of bayes factors.
Daniel J. Schad, Bruno Nicenboim, Paul‐Christian Bürkner, et al.
Psychological Methods (2022) Vol. 28, Iss. 6, pp. 1404-1426
Open Access | Times Cited: 91
Dependency Phonology
Jørgen Staun
Oxford University Press eBooks (2022), pp. 485-508
Closed Access | Times Cited: 82
Representations in generative phonology in the 1970s and 1980s
Charles W. Kisseberth
Oxford University Press eBooks (2022), pp. 440-461
Closed Access | Times Cited: 81
Government Phonology in historical perspective
Nancy A. Ritter
Oxford University Press eBooks (2022), pp. 509-529
Closed Access | Times Cited: 81
John R. Firth and the London School
Elena Battaner Moro, Richard Ogden
Oxford University Press eBooks (2022), pp. 242-259
Closed Access | Times Cited: 81
Developments leading towards generative phonology
B. Elan Dresher, Daniel Currie Hall
Oxford University Press eBooks (2022), pp. 372-395
Closed Access | Times Cited: 81
Interference patterns in subject-verb agreement and reflexives revisited: A large-sample study
Lena A. Jäger, Daniela Mertzen, Julie A. Van Dyke, et al.
Journal of Memory and Language (2019) Vol. 111, pp. 104063-104063
Open Access | Times Cited: 123
Hierarchical structure guides rapid linguistic predictions during naturalistic listening
Jonathan Brennan, John Hale
PLoS ONE (2019) Vol. 14, Iss. 1, pp. e0207741-e0207741
Open Access | Times Cited: 106
What did we learn from forty years of research on semantic interference? A Bayesian meta-analysis
Audrey Bürki, Shereen Elbuy, Sylvain Madec, et al.
Journal of Memory and Language (2020) Vol. 114, pp. 104125-104125
Open Access | Times Cited: 106
Exploratory and Confirmatory Analyses in Sentence Processing: A Case Study of Number Interference in German
Bruno Nicenboim, Shravan Vasishth, Felix Engelmann, et al.
Cognitive Science (2018) Vol. 42, Iss. S4, pp. 1075-1100
Open Access | Times Cited: 98
Are words pre-activated probabilistically during sentence comprehension? Evidence from new data and a Bayesian random-effects meta-analysis using publicly available data
Bruno Nicenboim, Shravan Vasishth, Frank Rösler
Neuropsychologia (2020) Vol. 142, pp. 107427-107427
Open Access | Times Cited: 96
Models of retrieval in sentence comprehension: A computational evaluation using Bayesian hierarchical modeling
Bruno Nicenboim, Shravan Vasishth
Journal of Memory and Language (2017) Vol. 99, pp. 1-34
Open Access | Times Cited: 90
Parafoveal preview effects from word N + 1 and word N + 2 during reading: A critical review and Bayesian meta-analysis
Martin R. Vasilev, Bernhard Angele
Psychonomic Bulletin & Review (2016) Vol. 24, Iss. 3, pp. 666-689
Open Access | Times Cited: 82
Mixed Effects Models are Sometimes Terrible
Christopher D. Eager, Joseph Roy
arXiv (Cornell University) (2017)
Open Access | Times Cited: 82
Retrieval interference and semantic interpretation
Ian Cunnings, Patrick Sturt
Journal of Memory and Language (2018) Vol. 102, pp. 16-27
Open Access | Times Cited: 63
Phonetic cue weighting in perception and production
Jessamyn Schertz, Emily J. Clare
Wiley Interdisciplinary Reviews Cognitive Science (2019) Vol. 11, Iss. 2
Closed Access | Times Cited: 60
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