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  1. 1

    Technical classification of professional cycling stages using unsupervised learning: implications for performance variability

    Garcia-Atutxa, I., Dudagoitia Barrio, E., Villanueva-Flores, F.
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  2. 2

    Impact of course length on swimming performance across age groups and swimming strokes

    Iglesias García, J., Hermosilla-Perona, F., Gonjo, T., Juárez Santos-García, D.
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  3. 3

    Optimal body mass normalization of power output for accurate prediction of estimated cycling performance over complex time-trial courses

    Horvath, M., Andersson, E. P.
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  4. 4

    Competitive demands during international sprint-distance triathlon races according to the course type: The influence of cycling on subsequent running performance

    Espejo, R., Martínez-Sobrino, J., Veiga, S.
    Published in Sports Medicine - Open (2025)
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  5. 5

    Accuracy of smartwatches in predicting distance running performance

    Dai, J., Chen, G., Gu, Z., Qi, Y., Xu, K.
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  6. 6

    Quantity of within-sport distance variety - what can pool swimmers and track runners learn from each other?

    Born, D.-P., Lorentzen, J., Björklund, G., Ruiz-Navarro, J. J.
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  7. 7

    Specializing when it counts: comparing the dose-time effect of distance variety between swimming and track running

    Born, D.-P., Ruiz-Navarro, J. J., Lorentzen, J., Björklund, G.
    Published in Sports (2024)
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  8. 8

    Powering toward Los Angeles: Comparing power output and pacing approach between maximal 2000- and 1500-m on-water racing in elite rowers

    Astridge, D. J., Peeling, P., Goods, P. S. R., Girard, O., Binnie, M. J.
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  9. 9

    Quantitative analysis of 92 12-Week sub-elite marathon training plans

    Knopp, M., Appelhans, D., Schönfelder, M., Seiler, S., Wackerhage, H.
    Published in Sports Medicine - Open (2024)
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  10. 10

    Specialize early and select late: Performance trajectories of world-class finalists and international- and national-class swimmers

    Born, D.-P., Björklund, G., Lorentzen, J., Stöggl, T., Romann, M.
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  11. 11

    Predicting future stars: Probability and performance corridors for elite swimmers

    Born, D.-P., Stöggl, T., Lorentzen, J., Romann, M., Björklund, G.
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  12. 12

    Front crawl in open-water: actual distance swun, kinematics, and arm stroke efficiency

    De Souza Castro, F. A., Guedes, J. P., Ongaratto, D., Gonzalez, D. H., Trindade, C. Z.
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  13. 13

    Longitudinal analysis of the 800-m performances of the world's best female long-distance pool swimmer: A case study using critical speed and D'

    Barroso, R., Crivoi do Carmo, E., Foster, C., Skiba, P., Carvalho Barbosa, A.
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  14. 14

    Comparison of the differences in iron and anemia-related markers by ultramarathon distance

    Shin, K.-A., Kim, Y.-J.
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  15. 15

    Monitoring the assessment of the swimming skills formation among swimmers-prize-winners at stages I-II-III of the Olympic Games (1896-2021)

    Ganchar, I., Ganchar, O., Ciorba, C., Medynskyi, S., Pylypko, O., Bliznyuk, Y., Pylypko, A., Lyashenko, A.
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  16. 16

    Age-related participation and performance trends of children and adolescents in ultramarathon running

    Scheer, V., Di Gangi, S., Villiger, E., Nikolaidis, P. T., Rosemann, T., Knechtle, B.
    Published in Research in Sports Medicine (2020)
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  17. 17

    How do swimmers pace the 400 m freestyle and what affects the pacing pattern?

    Barroso, R., Crivoi, E., Foster, C., Carvalho Barbosa, A.
    Published in Research in Sports Medicine (2021)
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  18. 18

    Effects of extended underwater sections on the physiological and biomechanical parameters of competitive swimmers

    Veiga, S., Pla, R., Qui, X., Boudet, D., Guimard, A.
    Published in Frontiers in Physiology (2022)
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  19. 19

    Sex differences in pacing during half-marathon and marathon race

    Cuk, I., Nikolaidis, P. T., Knechtle, B.
    Published in Research in Sports Medicine (2020)
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  20. 20

    Start Fast, Swim Faster, Turn Fastest: Section Analyses and Normative Data for Individual Medley

    Born, D.-P., Romann, M., Stöggl, T.
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