| The impact of tunnel design and lighting on the performance of attentive and visually distracted drivers K Kircher, C Ahlstrom Accident Analysis & Prevention 47, 153-161, 2012 | 202 | 2012 |
| Feature extraction for systolic heart murmur classification C Ahlstrom, P Hult, P Rask, JE Karlsson, E Nylander, U Dahlström, P Ask Annals of biomedical engineering 34 (11), 1666-1677, 2006 | 184 | 2006 |
| Effects of electronic billboards on driver distraction T Dukic, C Ahlstrom, C Patten, C Kettwich, K Kircher Traffic injury prevention 14 (5), 469-476, 2013 | 160 | 2013 |
| Automatic driver sleepiness detection using EEG, EOG and contextual information S Barua, MU Ahmed, C Ahlström, S Begum Expert Systems with Applications 115, 121-135, 2019 | 153 | 2019 |
| Noninvasive investigation of blood pressure changes using the pulse wave transit time: a novel approach in the monitoring of hemodialysis patients C Ahlstrom, A Johansson, F Uhlin, T Länne, P Ask Journal of Artificial Organs 8 (3), 192-197, 2005 | 149 | 2005 |
| Minimum required attention: a human-centered approach to driver inattention K Kircher, C Ahlstrom Human factors 59 (3), 471 - 484, 2017 | 145 | 2017 |
| A gaze-based driver distraction warning system and its effect on visual behavior C Ahlstrom, K Kircher, A Kircher IEEE Transactions on Intelligent Transportation Systems 14 (2), 965-973, 2013 | 140 | 2013 |
| The driver distraction detection algorithm AttenD K Kircher, C Ahlström Driver Distraction and Inattention: Advances in Research and Countermeasures …, 2013 | 118* | 2013 |
| Driver Sleepiness Classification Based on Physiological Data and Driving Performance From Real Road Driving H Mårtensson, O Keelan, C Ahlström IEEE Transactions on Intelligent Transportation Systems 20 (2), 421-430, 2019 | 110 | 2019 |
| 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 | 102 | 2013 |
| Heart rate variability for classification of alert versus sleep deprived drivers in real road driving conditions A Persson, H Jonasson, I Fredriksson, U Wiklund, C Ahlström IEEE Transactions on Intelligent Transportation Systems 22 (6), 3316-3325, 2020 | 99 | 2020 |
| Processing of eye/head-tracking data in large-scale naturalistic driving data sets C Ahlstrom, T Victor, C Wege, E Steinmetz IEEE Transactions on Intelligent Transportation Systems 13 (2), 553-564, 2011 | 97 | 2011 |
| Interface design of eco-driving support systems–Truck drivers’ preferences and behavioural compliance C Fors, K Kircher, C Ahlström Transportation Research Part C: Emerging Technologies 58, 706-720, 2015 | 73 | 2015 |
| Continuous versus intermittent presentation of visual eco-driving advice K Kircher, C Fors, C Ahlstrom Transportation Research Part F: Traffic Psychology and Behaviour 24, 27-38, 2014 | 73 | 2014 |
| Comparison of two eye-gaze based real-time driver distraction detection algorithms in a small-scale field operational test K Kircher, C Ahlstrom, A Kircher Proc. 5th Int. Symposium on Human Factors in Driver Assessment, Training and …, 2009 | 72 | 2009 |
| Processing of the Phonocardiographic Signal: methods for the intelligent stethoscope C Ahlström Institutionen för medicinsk teknik, 2006 | 69 | 2006 |
| Effects of the road environment on the development of driver sleepiness in young male drivers. C Ahlström, A Anund, C Fors, T Åkerstedt Accident Analysis & Prevention 112, 127-134, 2018 | 64 | 2018 |
| Bicyclists’ visual strategies when conducting self-paced vs. system-paced smartphone tasks in traffic C Ahlstrom, K Kircher, B Thorslund, E Adell Transportation research part F: traffic psychology and behaviour 41, 204-216, 2016 | 64 | 2016 |
| A multi-stage, multi-feature machine learning approach to detect driver sleepiness in naturalistic road driving conditions B Bakker, B Zabłocki, A Baker, V Riethmeister, B Marx, G Iyer, A Anund, ... IEEE Transactions on Intelligent Transportation Systems 23 (5), 4791-4800, 2021 | 63 | 2021 |
| Use of signal analysis of heart sounds and murmurs to assess severity of mitral valve regurgitation attributable to myxomatous mitral valve disease in dogs I Ljungvall, C Ahlstrom, K Höglund, P Hult, C Kvart, M Borgarelli, P Ask, ... American journal of veterinary research 70 (5), 604-613, 2009 | 62 | 2009 |
Katja KircherStatens väg- och transportforskningsinstitutVerified email at vti.se
