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  1. 1

    The influence of the environment on the calculation of drag area in cycling: Contrasting results between indoor and outdoor field tests

    Ordiñana-Pérez, M., Zabala, M., Blasco-Lafarga, C.
    Published in International Journal of Sports Science & Coaching (2025)
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  2. 2

    Reliability of a non-invasive method to calculate buffer capacity after exhaustive cycling exercise of 20 s to 12 min: A pilot study

    Gehlert, S., Khurshudyan, A., Weber, S., Widdershoven, J., Van Schuylenbergh, R.
    Published in Frontiers in Sports and Active Living (2025)
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  3. 3

    Aerodynamic optimization of athlete posture using virtual skeleton methodology and computational fluid dynamics

    Giljarhus, K. E. T., Liland, F. F., Bardal, L. M., Oggiano, L.
    Published in Journal of Biomechanics (2024)
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  4. 4

    Practical computational fluid dynamic predictions of a cyclist in a time trial position

    Taylor, M., Butcher, D., Crickmore, C., Walker, A. D.
    Published in Sports Engineering (2024)
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  5. 5

    Measuring the aerodynamic drag reduction effects of jerseys in road riding experiments

    Lin, Y.-H., Miau, J.-J., Chen, C.-H., Chen, Y.-R., Chen, Y.-H.
    Published in Journal of Science and Cycling (2024)
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  6. 6

    Aerobars position effect: What is the interaction between aerodynamic drag and power production?

    Térol, S., Costes, A., Malmert, A., Soto-Romero, G., Brunet, E.
    Published in Journal of Science and Cycling (2024)
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  7. 7

    Incorporating the maximal mean power profile in time trial simulations for more efficient optimal pacing strategy calculations

    Zignoli, A., Biral, F.
    Published in Journal of Science and Cycling (2024)
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  8. 8

    Sensor-based performance monitoring in track cycling

    Steyaert, M., De Bock, J., Verstockt, S.
    Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2021. Communications in Computer and Information Science (2022)
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  9. 9

    Backward extrapolation technique: analysis of different criteria after supramaximal exercise in cycling

    Luches-Pereira, G., Kalva-Filho, C. A., Barbieri, R. A., Andrade, V. L. D., Bertucci, D. R., Gobbi, R. B., Papoti, M.
    Published in The Journal of Sports Medicine and Physical Fitness (2021)
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  10. 10

    Equations to prescribe bicycle saddle height based on desired joint kinematics and bicycle geometry

    Gatti, A. A., Keir, P. J., Noseworthy, M. D., Beauchamp, M. K., Maly, M.R
    Published in European Journal of Sport Science (2022)
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  11. 11

    Energy expenditure equation choice: Effects on cycling efficiency and its reliability

    Bossi, A. H., Timmerman, W. P., Hopker, J. G.
    Published in International Journal of Sports Physiology and Performance (2020)
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  12. 12

    Untersuchungen zur Validität und Praktikabilität des mathematisch bestimmten maximalen Laktat-steady-states bei radergometrischen Belastungen

    Hauser, T.
    Published 2012
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  13. 13

    Determining optimal cadence for an individual road cyclist from field data

    Reed, R., Scarf, P., Jobson, S. A., Passfield, L.
    Published in European Journal of Sport Science (2016)
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  14. 14

    Die Umrechnung von Fahrradergometerleistungen in Laufbandgeschwindigkeiten

    Minor, T., Stacher, T.
    Published 1996
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