76.6

Stephanie Kovalchik

Victoria University

Stephanie Kovalchik has made significant contributions to various fields of sports science, including tennis and Australian Rules football. Their research focuses on movement styles, player performance, injury epidemiology, and the benefits of running. Studies employing machine learning and hierarchical clustering approaches have differentiated movement styles in professional tennis and classified players based on physical characteristics in Australian Rules football. A systematic review found that running is associated with a lower risk of mortality from all-cause, cardiovascular, and cancer diseases. Other research has investigated injury patterns in elite soccer and tennis players, validated player ratings systems, and explored the impact of age-policy changes on relative age effects.

Performance AnalysisSport PsychologyAthlete MonitoringCoaching EffectivenessTraining LoadAthlete DevelopmentLung CancerSports InjuryCT ScreeningAdolescent Drug UseNon-Small Cell Lung CancerTemperatureExerciseBreast Cancer ScreeningCardiopulmonary Exercise Testing
Commercial signal 75.5
Scientific signal 85.1
Social signal 78.8
Papers 63
0 Patent-to-paper cites
2,388 Paper cites

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