| An application of classification models to predict learner progression in tertiary education G Gray, C McGuinness, P Owende 2014 IEEE international advance computing conference (IACC), 549-554, 2014 | 174 | 2014 |
| A review of psychometric data analysis and applications in modelling of academic achievement in tertiary education G Gray, C McGuinness, P Owende, A Carthy | 47 | 2014 |
| Learning factor models of students at risk of failing in the early stage of tertiary education G Gray, C McGuinness, P Owende, M Hofmann Journal of learning analytics 3 (2), 330-372, 2016 | 43 | 2016 |
| Prediction of student academic performance using Moodle data from a Further Education setting. RJ Quinn, G Gray Irish Journal of Technology Enhanced Learning 5 (1), 2020 | 37 | 2020 |
| Development and evaluation of a dataset generator tool for generating synthetic log files containing computer attack signatures S O’Shaughnessy, G Gray International Journal of Ambient Computing and Intelligence (IJACI) 3 (2), 64-76, 2011 | 31 | 2011 |
| emerging risks in the fintech industry–insights from data science and financial econometrics analysis. L Morales, G Gray, D Rajmil Economics, Management & Financial Markets 17 (2), 2022 | 22 | 2022 |
| Non-cognitive factors of learning as early indicators of students at-risk of failing in tertiary education G Gray, C Mcguinness, P Owende Non-cognitive Skills and Factors in Educational Attainment, 199-237, 2016 | 22 | 2016 |
| A LAK of Direction Misalignment Between the Goals of Learning Analytics and its Research Scholarship BA Motz, Y Bergner, CA Brooks, A Gladden, G Gray, C Lang, W Li, ... Technological University Dublin, 2023 | 19 | 2023 |
| Stakeholders’ insights on learning analytics: Perspectives of students and staff G Gray, AE Schalk, G Cooke, P Murnion, P Rooney, KC O'Rourke Computers & Education 187, 104550, 2022 | 18 | 2022 |
| What does methodology mean for learning analytics? Y Bergner, G Gray, C Lang Journal of Learning Analytics 5 (2), 1–8-1–8, 2018 | 13 | 2018 |
| An investigation of psychometric measures for modelling academic performance in tertiary education G Gray, C McGuinness, P Owende Educational Data Mining 2013, 2013 | 13 | 2013 |
| A practitioner’s guide to measurement in learning analytics: Decisions, opportunities, and challenges G Gray, Y Bergner Handbook of learning analytics,, 20-28, 2022 | 12 | 2022 |
| A stakeholder informed professional development framework to support engagement with learning analytics G Gray, A Schalk, P Rooney, C Lang LAK21: 11th international learning analytics and knowledge conference, 237-247, 2021 | 12 | 2021 |
| Non-cognitive factors of learning as predictors of academic performance in tertiary education G Gray, C McGuinness, P Owende CEUR-WS 1183, 107-114, 2014 | 12 | 2014 |
| Survivability strategies for emerging wireless networks with data mining techniques: A case study with NetLogo and RapidMiner I Garcia-Magarino, G Gray, R Lacuesta, J Lloret IEEE Access 6, 27958-27970, 2018 | 11 | 2018 |
| Development of a Moodle course content filter using meta data K Goslin, M Hoffmann Technological University Dublin, 2009 | 8 | 2009 |
| Gamification in education: productivity and motivation through gamified time management software R Browne, L Raeside, G Gray European Conference on Games Based Learning, 867-871, 2018 | 7 | 2018 |
| Using ICT to enable inclusive teaching practices in higher education D Duffin, G Gray Assistive Technology from Adapted Equipment to Inclusive Environments, 640-645, 2009 | 7 | 2009 |
| Agent-based IoT coordination for smart cities considering security and privacy I García-Magariño, G Gray, R Muttukrishnan, W Asif 2019 Sixth International Conference on Internet of Things: Systems …, 2019 | 6 | 2019 |
| Smart green communication protocols based on several-fold messages extracted from common sequential patterns in UAVs I García-Magariño, G Gray, R Lacuesta, J Lloret IEEE Network 34 (3), 249-255, 2020 | 4 | 2020 |
