Sven Hohenstein
Sven Hohenstein
Cognitive Sciences, University of Potsdam
Verified email at - Homepage
Cited by
Cited by
Semantic preview benefit during reading.
S Hohenstein, R Kliegl
Journal of Experimental Psychology: Learning, Memory, and Cognition 40 (1), 166, 2014
Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists
T Sorensen, S Hohenstein, S Vasishth
The Quantitative Methods for Psychology 12 (3), 175-200, 2016
Semantic preview benefit in eye movements during reading: A parafoveal fast-priming study.
S Hohenstein, J Laubrock, R Kliegl
Journal of Experimental Psychology: Learning, Memory, and Cognition 36 (5), 1150, 2010
How preview space/time translates into preview cost/benefit for fixation durations during reading
R Kliegl, S Hohenstein, M Yan, SA McDonald
Quarterly Journal of Experimental Psychology 66 (3), 581-600, 2013
How to capitalize on a priori contrasts in linear (mixed) models: A tutorial
DJ Schad, S Vasishth, S Hohenstein, R Kliegl
Journal of Memory and Language 110, 104038, 2020
A theoretical analysis of the perceptual span based on SWIFT simulations of the n + 2 boundary paradigm
S Risse, S Hohenstein, R Kliegl, R Engbert
Visual Cognition 22 (3-4), 283-308, 2014
remef: Remove partial effects
S Hohenstein, R Kliegl
R package version 1 (6.9000), 2015
Linked linear mixed models: A joint analysis of fixation locations and fixation durations in natural reading
S Hohenstein, H Matuschek, R Kliegl
Psychonomic bulletin & review 24 (3), 637-651, 2017
Orthographic consistency and parafoveal preview benefit: A resource-sharing account of language differences in processing of phonological and semantic codes
J Laubrock, S Hohenstein
Behavioral and Brain Sciences 35 (5), 292, 2012
Attention to comics: Cognitive processing during the reading of graphic literature
J Laubrock, S Hohenstein, M Kümmerer
Empirical Comics Research, 239-263, 2018
remef: Remove Partial Effects. R package version 1.0. 6.9000
S Hohenstein, R Kliegl
https://github. com/hohenstein/remef/. Accessed August 15, 2019, 2015
Eye movements reveal interplay between noun capitalization and word class during reading
S Hohenstein, R Kliegl
Proceedings of the Annual Meeting of the Cognitive Science Society 35 (35), 2013
Emergency hospital admissions and interventional treatments for heart failure and cardiac arrhythmias in Germany during the Covid-19 outbreak: insights from the German-wide …
A Bollmann, S Hohenstein, A Meier-Hellmann, R Kuhlen, G Hindricks
European Heart Journal-Quality of Care and Clinical Outcomes 6 (3), 221-222, 2020
Corpus Analyses of Multimodal Narrative: The Example of Graphic Novels.
A Dunst, R Hartel, S Hohenstein, J Laubrock
DH, 178-180, 2016
remef (REMove EFfects) (R package version 0.6.10)
S Hohenstein, R Kliegl
Eye movements and processing of semantic information in the parafovea during reading
S Hohenstein
Universitätsbibliothek der Universität Potsdam, 2013
hypr: An R package for hypothesis-driven contrast coding
MM Rabe, S Vasishth, S Hohenstein, R Kliegl, DJ Schad
Journal of Open Source Software 5 (48), 2134, 2020
Cumulative hospitalization deficit for cardiovascular disorders in Germany during the Covid-19 pandemic
A Bollmann, V Pellissier, S Hohenstein, S König, L Ueberham, ...
European heart journal. Quality of care & clinical outcomes, 2020
Sex differences of resource utilisation and outcomes in patients with atrial arrhythmias and heart failure
L Ueberham, S König, S Hohenstein, R Mueller-Roething, M Wiedemann, ...
Heart 106 (7), 527-533, 2020
Is a picture worth a thousand words?
J Laubrock, S Hohenstein
ESCOP 2015, 2015
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