Asian Journal of Sports Medicine
Sports Medicine Research Center, TUMS
Scopus by Title (Ref)
1. Artificial intelligence–generated marathon training programs: reliable tools in exercise prescription for athletic performance?
- Montaruli G. , et al.
2. Non-exercise-based racing time prediction of cross-country skiers using machine learning methods combined with Relief-F feature selection
- Abut F. , et al.
3. A Systematic Review of the Factors Associated with Performance in Non-Elite Runners
- Thuany M. , et al.
4. What Is the Effect of Breast Size on Running Economy and Upper Body Biomechanical Factors Contributing to Running Economy?
- BENNETT M.J. , et al.
5. Pre-Season Energy Deficiency Predicts Poorer Performance During a Competitive Season in Collegiate Female Long-Distance Runners
- Lundstrom E.A. , et al.
6. Fastest marathon times achievable based on extreme value statistics
- Kebe M. , et al.
7. Predictive performance models in marathon based on half-marathon, age group and pacing behavior
- Muñoz-Pérez I. , et al.
8. Learning to Run Marathons: On the Applications of Machine Learning to Recreational Marathon Running
- Smyth B. , et al.
9. Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners
- Smyth B. , et al.
10. Significant effusion in the joints of the lower extremity after running an ultramarathon in extreme conditions
- Steinmetz G. , et al.
11. Deep learning approach for forecasting athletes' performance in sports tournaments
- El-Kassabi H.T. , et al.
12. Physiological and Race Pace Characteristics of Medium and Low-Level Athens Marathon Runners
- Myrkos A. , et al.
13. An evaluation of the training determinants of marathon performance: A meta-analysis with meta-regression
- Doherty C. , et al.
14. Predicting competition performance in short trail running races with lactate thresholds
- Scheer V. , et al.
15. Different predictor variables for women and men in ultra-marathon running—the wellington urban ultramarathon 2018
- O’Loughlin E. , et al.
16. Prediction equations for marathon performance: A systematic review
- Keogh A. , et al.
17. Pacing strategies in the 'athens classic marathon': Physiological and psychological aspects
- Nikolaidis P.T. , et al.
18. A brief review of personality in marathon runners: The role of sex, age and performance level
- Nikolaidis P.T. , et al.
19. Age-predicted maximal heart rate in recreational marathon runners: A cross-sectional study on Fox's and Tanaka's equations
- Nikolaidis P. , et al.
20. Predicting race time in male amateur marathon runners
- Salinero J.J. , et al.
21. Artificial neural networks for predicting the racing time of cross-country skiers from survey-based data
- Abut F. , et al.
22. Differences in age of peak marathon performance between mountain and city marathon running - the ‘jungfrau marathon’ in Switzerland
- Knechtle B. , et al.
23. Secular trend in thinness prevalence for 26 years (1989 - 2014) among high school runners in Japan
- Kinoshita N. , et al.
24. Do women with smaller breasts perform better in long-distance running?
- Brown N. , et al.
25. An empirical study of race times in recreational endurance runners
- Vickers A. , et al.