| itsadug: Interpreting time series and autocorrelated data using GAMMs J Van Rij, M Wieling, R Baayen, H van Rijn R package version 1 (1), 2015 | 637 | 2015 |
| Analyzing the time course of pupillometric data J van Rij, P Hendriks, H van Rijn, RH Baayen, SN Wood Trends in Hearing 23, 2331216519832483, 2019 | 185 | 2019 |
| Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models RH Baayen, J van Rij, C de Cat, S Wood Mixed-Effects Regression Models in Linguistics, 49-69, 2018 | 177 | 2018 |
| Cognitive architectures and language acquisition: A case study in pronoun comprehension J Van Rij, H Van Rijn, P Hendriks Journal of Child Language 37 (3), 731-766, 2010 | 116 | 2010 |
| The temporal dynamics of perceptual uncertainty: eye movement evidence from Cantonese segment and tone perception JS Nixon, J van Rij, P Mok, RH Baayen, Y Chen Journal of Memory and Language 90, 103-125, 2016 | 74 | 2016 |
| How WM load influences linguistic processing in adults: a computational model of pronoun interpretation in discourse J Van Rij, H Van Rijn, P Hendriks Topics in cognitive science 5 (3), 564-580, 2013 | 66 | 2013 |
| Visual World Paradigm Data: From Preprocessing to Nonlinear Time-Course Analysis V Porretta, AJ Kyröläinen, J van Rij, J Järvikivi International Conference on Intelligent Decision Technologies, 268-277, 2017 | 57 | 2017 |
| Children's eye gaze reveals their use of discourse context in object pronoun resolution J Van Rij, B Hollebrandse, P Hendriks Experimental Perspectives on Anaphora Resolution. Information Structural …, 2016 | 47 | 2016 |
| The Development of Idiom Knowledge across the Lifespan S Sprenger, A la Roi, J Van Rij Frontiers in Communication 4, 29, 2019 | 33 | 2019 |
| Alternative quantitative methods in psycholinguistics: Implications for theory and design J van Rij, N Vaci, LH Wurm, LB Feldman Word knowledge and word usage: A cross-disciplinary guide to the mental …, 2020 | 32 | 2020 |
| An exploration of error-driven learning in simple two-layer networks from a discriminative learning perspective DB Hoppe, P Hendriks, M Ramscar, J van Rij Behavior research methods, 1-31, 2022 | 27 | 2022 |
| VWPre: Tools for preprocessing visual world data V Porretta, A Kyröläinen, J Van Rij, J Järvikivi R package version 1 (0), 2017 | 27 | 2017 |
| Pronoun processing: Computational, behavioral, and psychophysiological studies in children and adults. J van Rij University of Groningen, The Netherlands, 2012 | 23 | 2012 |
| Order matters! Influences of linear order on linguistic category learning DB Hoppe, J van Rij, P Hendriks, M Ramscar Cognitive Science 44 (11), e12910, 2020 | 21 | 2020 |
| Mixed effects regression models in linguistics RH Baayen, J van Rij, C de Cat, S Wood, D Speelman, K Heylen, ... Speelman, D., Heylen, K., Geeraerts, D 4, 49-69, 2018 | 21 | 2018 |
| Individual Differences in Pupil Dilation during Naming Task K Loo, J van Rij, J Järvikivi, H Baayen Proceedings of the 38th Annual Conference of the Cognitive Science Society …, 2016 | 21 | 2016 |
| Articulatory variability is reduced by repetition and predictability F Tomaschek, D Arnold, K Sering, BV Tucker, J van Rij, M Ramscar Language and speech 64 (3), 654-680, 2021 | 20 | 2021 |
| Toward Cognitively Constrained Models of Language Processing: A Review M Vogelzang, AC Mills, D Reitter, J Van Rij, P Hendriks, H Van Rijn Frontiers in Communication 2, 11, 2017 | 15 | 2017 |
| Adults’ on-line comprehension of object pronouns in discourse P Hendriks, A Banga, J Van Rij, G Cannizzaro, J Hoeks Production-comprehension asymmetries in child language, 193-216, 2011 | 14 | 2011 |
| WM load influences the interpretation of referring expressions J Van Rij, H Van Rijn, P Hendriks Proceedings of the 2nd workshop on Cognitive Modeling and Computational …, 2011 | 14 | 2011 |
