Mathematical models of eye movements in reading: a possible role for autonomous saccades. - Ralf Engbert; Reinhold Kliegl (Biol. Cybern., 2001)

Noise-enhanced performance in reading. - Ralf Engbert; Reinhold Kliegl (Neurocomputing, 2003)

Complexity of Eye Movements in Reading. - Ralf Engbert; Reinhold Kliegl; André Longtin (Int. J. Bifurc. Chaos, 2004)

Current advances in SWIFT. - Eike Martin Richter; Ralf Engbert; Reinhold Kliegl (Cogn. Syst. Res., 2006)

Surprising Parser Actions and Reading Difficulty. - Marisa Ferrara Boston; John T. Hale; Reinhold Kliegl; Shravan Vasishth (ACL (2), 2008)

Reconstruction of eye movements during blinks - Murilo S. Baptista; Christiane Bohn; Reinhold Kliegl; Ralf Engbert; Jürgen Kurths (CoRR, 2008)

International collaboration in psychology is on the rise. - Reinhold Kliegl; Douglas Bates (Scientometrics, 2011)

Trans-saccadic parafoveal preview benefits in fluent reading: A study with fixation-related brain potentials. - Olaf Dimigen; Reinhold Kliegl; Werner Sommer (NeuroImage, 2012)

Eye Movements Reveal Interplay Between Noun Capitalization and Word Class During Reading. - Sven Hohenstein; Reinhold Kliegl (CogSci, 2013)

A Framework for Modeling the Interaction of Syntactic Processing and Eye Movement Control. - Felix Engelmann; Shravan Vasishth; Ralf Engbert; Reinhold Kliegl (Top. Cogn. Sci., 2013)

A Model of Individual Differences in Gaze Control During Reading. - Niels Landwehr; Sebastian Arzt; Tobias Scheffer; Reinhold Kliegl (EMNLP, 2014)

Occipital and orbitofrontal hemodynamics during naturally paced reading: An fNIRS study. - Markus J. Hofmann; Michael Dambacher; Arthur M. Jacobs; Reinhold Kliegl; Ralph Radach; Lars Kuchinke; Michael M. Plichta; Andreas J. Fallgatter; Martin J. Herrmann (NeuroImage, 2014)

Determinants of Scanpath Regularity in Reading. - Titus von der Malsburg; Reinhold Kliegl; Shravan Vasishth (Cogn. Sci., 2015)

A Semiparametric Model for Bayesian Reader Identification. - Ahmed AbdelWahab; Reinhold Kliegl; Niels Landwehr (EMNLP, 2016)

hypr: An R package for hypothesis-driven contrast coding. - Maximilian Rabe; Shravan Vasishth; Sven Hohenstein; Reinhold Kliegl; Daniel J. Schad (J. Open Source Softw., 2020)