| Quantifying and comparing the match demands of U18, U23, and 1ST team English professional soccer players J Reynolds, M Connor, M Jamil, M Beato Frontiers in physiology 12, 706451, 2021 | 53 | 2021 |
| Monitoring fatigue during intermittent exercise with accelerometer-derived metrics M Beato, KL De Keijzer, B Carty, M Connor Frontiers in physiology 10, 780, 2019 | 35 | 2019 |
| Using multiple machine learning algorithms to classify elite and sub-elite goalkeepers in professional men’s football M Jamil, A Phatak, S Mehta, M Beato, D Memmert, M Connor Scientific reports 11 (1), 22703, 2021 | 24 | 2021 |
| Context is key: normalization as a novel approach to sport specific preprocessing of KPI’s for match analysis in soccer AA Phatak, S Mehta, FG Wieland, M Jamil, M Connor, M Bassek, ... Scientific reports 12 (1), 1117, 2022 | 21 | 2022 |
| Adaptive athlete training plan generation: An intelligent control systems approach M Connor, M Beato, M O'Neill Journal of Science and Medicine in Sport 25 (4), 351-355, 2022 | 13 | 2022 |
| Quantifying and modelling the game speed outputs of English Championship soccer players M Connor, D Mernagh, M Beato Research in Sports Medicine 30 (2), 169-181, 2022 | 11 | 2022 |
| The influence of possession status on the physical output of male international hockey players E Cunniffe, M Connor, M Beato, A Grainger, W McConnell, ... International Journal of Sports Science & Coaching 17 (2), 412-422, 2022 | 10 | 2022 |
| Large language models in sport science & medicine: Opportunities, risks and considerations M Connor, M O'Neill arXiv preprint arXiv:2305.03851, 2023 | 8 | 2023 |
| Amplifying limitations, harms and risks of large language models M O'Neill, M Connor arXiv preprint arXiv:2307.04821, 2023 | 7 | 2023 |
| Optimising team sport training plans with grammatical evolution M Connor, D Fagan, M O’Neill 2019 ieee congress on evolutionary computation (cec), 2474-2481, 2019 | 7 | 2019 |
| A comparison of training and match play external load during a congested in-season period in English League 2 football A Fleming, M Walker, M Armitage, M Connor, M Beato The Journal of Strength & Conditioning Research 37 (9), e527-e534, 2023 | 4 | 2023 |
| Optimizing the parameters of a physical exercise dose-response model: an algorithmic comparison M Connor, M O'Neill Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 4 | 2021 |
| Optimizing team sport training with multi-objective evolutionary computation M Connor, D Faganan, B Watters, F McCaffery, M O’Neill Journal homepage: http://iacss. org/index. php? id 20 (1), 2021 | 3 | 2021 |
| The relationship between VO2 max and 1200m shuttle run performance in elite academy football players R Kavanagh, K McDaid, D Rhodes, M Connor, R Oliveira, I Varley, ... International Journal of Sports and Exercise Medicine 9 (2), 2023 | 1 | 2023 |
| Analysing the physical output of international field hockey players through the lens of the phase of play E Cunniffe, M Connor, M Beato, A Grainger, W Mcconnell, C Blake International Journal of Sports Science & Coaching 19 (1), 338-352, 2024 | | 2024 |
| Using multiple machine learning algorithms to classify distinguishing KPIs between elite defenders and their sub-elite counterparts in professional men’s football M Jamil, A Phatak, S Mehta, M Beato, D Memmert, M Connor . 13th World Congress of Performance Analysis of Sport 2022 & 13th …, 2022 | | 2022 |
