| Imaging spectrometry and asphalt road surveys M Herold, D Roberts, V Noronha, O Smadi Transportation Research Part C: Emerging Technologies 16 (2), 153-166, 2008 | 88 | 2008 |
| An automatic image processing algorithm based on crack pixel density for pavement crack detection and classification N Safaei, O Smadi, A Masoud, B Safaei International Journal of Pavement Research and Technology 15 (1), 159-172, 2022 | 83 | 2022 |
| Automated imaging technologies for pavement distress surveys KCP Wang, O Smadi Transportation Research Circular, 2011 | 81 | 2011 |
| Pavement marking retroreflectivity: Analysis of safety effectiveness O Smadi, RR Souleyrette, DJ Ormand, N Hawkins Transportation Research Record 2056 (1), 17-24, 2008 | 68 | 2008 |
| How prediction accuracy can affect the decision-making process in pavement management system SA Hosseini, O Smadi Infrastructures 6 (2), 28, 2021 | 62 | 2021 |
| Using classification trees for predicting national bridge inventory condition ratings BA Bektas, A Carriquiry, O Smadi Journal of infrastructure systems 19 (4), 425-433, 2013 | 58 | 2013 |
| Road condition mapping with hyperspectral remote sensing M Herold, D Roberts, O Smadi, V Noronha Proceedings of the 2004 AVIRIS workshop, March, 2004 | 57 | 2004 |
| Pavement marking retroreflectivity and crash frequency: segmentation, line type, and imputation effects BA Bektas, K Gkritza, O Smadi Journal of Transportation Engineering 142 (8), 04016030, 2016 | 49 | 2016 |
| Pavement friction modeling using texture measurements and pendulum skid tester A Alhasan, O Smadi, G Bou-Saab, N Hernandez, E Cochran Transportation research record 2672 (40), 440-451, 2018 | 47 | 2018 |
| Evaluation of dynamic speed feedback signs on curves: a national demonstration Project S Hallmark, N Hawkins, O Smadi United States. Federal Highway Administration, 2015 | 45 | 2015 |
| Impact of pavement surface condition on roadway departure crash risk in Iowa A Alhasan, I Nlenanya, O Smadi, CA MacKenzie Infrastructures 3 (2), 14, 2018 | 43 | 2018 |
| Digital image processing for pavement distress analyses E Teomete, VR Amin, H Ceylan, O Smadi Proceedings of the mid-continent transportation research symposium 13, 2005 | 42 | 2005 |
| Efficient road crack detection based on an adaptive pixel-level segmentation algorithm N Safaei, O Smadi, B Safaei, A Masoud Transportation Research Record 2675 (9), 370-381, 2021 | 40 | 2021 |
| Predicting pavement performance utilizing artificial neural network (ANN) models F Alharbi | 40 | 2018 |
| Crash modification factors for dynamic speed feedback signs on rural curves S Hallmark, Y Qiu, N Hawkins, O Smadi Scientific Research Publishing Inc., 2015 | 40 | 2015 |
| Use of deep learning to study modeling deterioration of pavements a case study in Iowa SA Hosseini, A Alhasan, O Smadi Infrastructures 5 (11), 95, 2020 | 36 | 2020 |
| Automated detection and classification of pavement distresses using 3D pavement surface images and deep learning R Ghosh, O Smadi Transportation Research Record 2675 (9), 1359-1374, 2021 | 34 | 2021 |
| Pavement management performance modeling: Evaluating the existing PCI equations F Bektas, O Smadi, M Al-Zoubi | 34 | 2014 |
| Assessment of composite pavement performance by survival analysis C Chen, R Christopher Williams, MG Marasinghe, JC Ashlock, O Smadi, ... Journal of Transportation Engineering 141 (9), 04015018, 2015 | 29 | 2015 |
| Use of pavement management information system for verification of mechanistic–empirical pavement design guide performance predictions S Kim, H Ceylan, K Gopalakrishnan, O Smadi Transportation Research Record 2153 (1), 30-39, 2010 | 28 | 2010 |
Basak BektasAssociate Professor, Minnesota State University MankatoVerified email at mnsu.edu