| Eye tracking: A comprehensive guide to methods and measures K Holmqvist, M Nyström, R Andersson, R Dewhurst, H Jarodzka, ... OUP Oxford, 2011 | 2281 | 2011 |
| An adaptive algorithm for fixation, saccade, and glissade detection in eyetracking data M Nyström, K Holmqvist Behavior research methods 42 (1), 188-204, 2010 | 372 | 2010 |
| Eye tracker data quality: what it is and how to measure it K Holmqvist, M Nyström, F Mulvey Proceedings of the symposium on eye tracking research and applications, 45-52, 2012 | 168 | 2012 |
| The influence of calibration method and eye physiology on eyetracking data quality M Nyström, R Andersson, K Holmqvist, J Van De Weijer Behavior research methods 45 (1), 272-288, 2013 | 139 | 2013 |
| A vector-based, multidimensional scanpath similarity measure H Jarodzka, K Holmqvist, M Nyström Proceedings of the 2010 symposium on eye-tracking research & applications …, 2010 | 123 | 2010 |
| How a picture facilitates the process of learning from text: Evidence for scaffolding A Eitel, K Scheiter, A Schüler, M Nyström, K Holmqvist Learning and Instruction 28, 48-63, 2013 | 114 | 2013 |
| Conveying clinical reasoning based on visual observation via eye-movement modelling examples H Jarodzka, T Balslev, K Holmqvist, M Nyström, K Scheiter, P Gerjets, ... Instructional Science 40 (5), 813-827, 2012 | 99 | 2012 |
| It depends on how you look at it: Scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach R Dewhurst, M Nyström, H Jarodzka, T Foulsham, R Johansson, ... Behavior research methods 44 (4), 1079-1100, 2012 | 92 | 2012 |
| Semantic override of low-level features in image viewing-both initially and overall M Nyström, K Holmqvist Journal of Eye-Movement Research 2 (2), 2: 1-2: 11, 2008 | 84 | 2008 |
| Detection of saccades and postsaccadic oscillations in the presence of smooth pursuit L Larsson, M Nyström, M Stridh IEEE Transactions on biomedical engineering 60 (9), 2484-2493, 2013 | 70 | 2013 |
| One algorithm to rule them all? An evaluation and discussion of ten eye movement event-detection algorithms R Andersson, L Larsson, K Holmqvist, M Stridh, M Nyström Behavior research methods 49 (2), 616-637, 2017 | 69 | 2017 |
| Fit-for-duty test for estimation of drivers’ sleepiness level: Eye movements improve the sleep/wake predictor C Ahlstrom, M Nyström, K Holmqvist, C Fors, D Sandberg, A Anund, ... Transportation research part C: emerging technologies 26, 20-32, 2013 | 63 | 2013 |
| Comparing scanpaths during scene encoding and recognition: A multi-dimensional approach T Foulsham, R Dewhurst, M Nyström, H Jarodzka, R Johansson, ... | 55 | 2012 |
| Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more R Andersson, M Nyström, K Holmqvist Journal of Eye Movement Research 3 (3), 1-12, 2010 | 55 | 2010 |
| Detection of fixations and smooth pursuit movements in high-speed eye-tracking data L Larsson, M Nyström, R Andersson, M Stridh Biomedical Signal Processing and Control 18, 145-152, 2015 | 45 | 2015 |
| Post-saccadic oscillations in eye movement data recorded with pupil-based eye trackers reflect motion of the pupil inside the iris M Nyström, I Hooge, K Holmqvist Vision research 92, 59-66, 2013 | 45 | 2013 |
| Trimmer head M Nyström US Patent App. 29/171,254, 2003 | 42 | 2003 |
| Consequences of eye color, positioning, and head movement for eye‐tracking data quality in infant research RS Hessels, R Andersson, ITC Hooge, M Nyström, C Kemner Infancy 20 (6), 601-633, 2015 | 36 | 2015 |
| Trimmer head M Nyström US Patent App. 29/171,436, 2003 | 35 | 2003 |
| Trimmer head M Nyström, E Sandberg US Patent App. 29/207,491, 2005 | 34 | 2005 |
Kenneth HolmqvistProfessor of PsychologyVerified email at ur.de
