| Personalized machine learning approach to injury monitoring in elite volleyball players AW de Leeuw, S van der Zwaard, R van Baar, A Knobbe European journal of sport science 22 (4), 511-520, 2022 | 80 | 2022 |
| Schwinger-Keldysh theory for Bose-Einstein condensation of photons in a dye-filled optical microcavity AW De Leeuw, HTC Stoof, RA Duine Physical Review A—Atomic, Molecular, and Optical Physics 88 (3), 033829, 2013 | 57 | 2013 |
| Interaction effects on number fluctuations in a Bose-Einstein condensate of light ECI Van der Wurff, AW De Leeuw, RA Duine, HTC Stoof Physical review letters 113 (13), 135301, 2014 | 56 | 2014 |
| Effects of pacing properties on performance in long-distance running AW De Leeuw, LA Meerhoff, A Knobbe Big Data 6 (4), 248-261, 2018 | 30 | 2018 |
| A Learn-to-Rank Approach for Predicting Road Cycling Race Outcomes L Kholkine, T Servotte, AW De Leeuw, T De Schepper, P Hellinckx, ... Frontiers in Sports and Active Living 3, 256, 2021 | 23 | 2021 |
| Phase diffusion in a Bose-Einstein condensate of light AW De Leeuw, ECI Van Der Wurff, RA Duine, HTC Stoof Physical Review A 90 (4), 043627, 2014 | 22 | 2014 |
| Phase fluctuations and first-order correlation functions of dissipative Bose-Einstein condensates AW De Leeuw, HTC Stoof, RA Duine Physical Review A 89 (5), 053627, 2014 | 22 | 2014 |
| Modeling match performance in elite volleyball players: importance of jump load and strength training characteristics AW de Leeuw, R van Baar, A Knobbe, S van der Zwaard Sensors 22 (20), 7996, 2022 | 19 | 2022 |
| Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring AW de Leeuw, M Heijboer, T Verdonck, A Knobbe, S Latré Data Mining and Knowledge Discovery 37 (3), 1125-1153, 2023 | 16 | 2023 |
| Theory for Bose-Einstein condensation of light in nanofabricated semiconductor microcavities AW De Leeuw, ECI Van Der Wurff, RA Duine, D Van Oosten, HTC Stoof Physical Review A 94 (1), 013615, 2016 | 14 | 2016 |
| Effects of dissipation on the superfluid–Mott-insulator transition of photons AW De Leeuw, O Onishchenko, RA Duine, HTC Stoof Physical Review A 91 (3), 033609, 2015 | 14 | 2015 |
| Articles with impact: insights into 10 years of research with machine learning S van der Zwaard, AW de Leeuw, LRA Meerhoff, SC Bodine, A Knobbe Journal of Applied Physiology 129 (4), 967-979, 2020 | 12 | 2020 |
| Time series regression in professional road cycling AW de Leeuw, M Heijboer, M Hofmijster, S van der Zwaard, A Knobbe Discovery Science: 23rd International Conference, DS 2020, Thessaloniki …, 2020 | 10 | 2020 |
| Exploring Successful Team Tactics in Soccer Tracking Data LA Meerhoff, FR Goes, AW De Leeuw, A Knobbe Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 9 | 2019 |
| Age of peak performance in professional road cycling L Kholkine, S Latré, T Verdonck, AW de Leeuw Journal of Sports Sciences 41 (3), 298-306, 2023 | 7 | 2023 |
| Tactical analyses in professional tennis AW de Leeuw, A Hoekstra, L Meerhoff, A Knobbe Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 5 | 2020 |
| Development of an algorithm-based approach using neuromuscular test results to indicate an increased risk for non-contact lower limb injuries in elite football players J Wagemans, AW De Leeuw, P Catteeuw, D Vissers BMJ Open Sport & Exercise Medicine 9 (2), e001614, 2023 | 3 | 2023 |
| The relationships between age and race performance in women’s road cycling AW de Leeuw, L Kholkine International Journal of Performance Analysis in Sport, 1-13, 2024 | 2 | 2024 |
| The Push Forward in Rehabilitation: Validation of a Machine Learning Method for Detection of Wheelchair Propulsion Type R van der Slikke, AW de Leeuw, A de Rooij, M Berger Sensors 24 (2), 657, 2024 | 1 | 2024 |
| Athlete monitoring in professional road cycling using similarity search on time series data AW de Leeuw, T Oberkofler, M Heijboer, A Knobbe Machine Learning and Data Mining for Sports Analytics: 9th International …, 2023 | 1 | 2023 |