| Collision avoidance using deep learning-based monocular vision RA Rill, KB Faragó SN Computer Science 2 (5), 375, 2021 | 19 | 2021 |
| Strategic predictors of performance in a divided attention task RA Rill, KB Faragó, A Lőrincz Plos one 13 (4), e0195131, 2018 | 11 | 2018 |
| Personalization of gaze direction estimation with deep learning Z Tősér, RA Rill, K Faragó, LA Jeni, A Lőrincz KI 2016: Advances in Artificial Intelligence: 39th Annual German Conference …, 2016 | 10 | 2016 |
| Predicting Human Errors from Gaze and Cursor Movements RR Saboundji, RA Rill 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 7 | 2020 |
| Intuitive Estimation of Speed using Motion and Monocular Depth Information RA Rill Studia Universitatis Babeș-Bolyai, Informatica 65 (1), 33-45, 2020 | 6* | 2020 |
| Gaze-based Cursor Control Impairs Performance in Divided Attention RA Rill, KB Faragó Acta Cybernetica 23, 1071-1087, 2018 | 3 | 2018 |
| Predicting user errors under time constraints in a divided attention task RA Rill, RR Saboundji Pannonian Conference on Advances in Information Technology, 77-83, 2019 | 2* | 2019 |
| Cognitive Modeling Approach for Dealing with Challenges in Cyber-Physical Systems RA Rill, A Lőrincz Studia Universitatis Babeș-Bolyai, Informatica 64 (1), 51-66, 2019 | 2 | 2019 |
| Towards Human-in-the-Loop Cyber-Physical Systems RA Rill | | 2021 |
| Correction: Strategic predictors of performance in a divided attention task RA Rill, KB Faragó, A Lőrincz Plos one 13 (5), e0197309, 2018 | | 2018 |