Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Simon Boisbluche

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Plos One|October 8, 2025
Position-specific workload and performance analysis in professional rugby union: Insights from global positioning system data and principal component analysisXiangyu Ren, Simon Boisbluche, Kilian Philippe, et al.
Heliyon|November 11, 2025
Retraction notice to "Effects of preseason training on body composition, running performance, biochemical markers and workload variation in professional rugby union players" [Heliyon 9 (2023) e16250]Xiaopan Hu, Noe Thierry Baba, Kilian Philippe, et al.
Journal of Strength and Conditioning Research|July 28, 2023
Effects of Tactical Periodization on Workload, Physical Fitness, and Well-Being in Professional Rugby Union Players During a Preseason PeriodXiaopan Hu, Simon Boisbluche, Kilian Philippe, et al.
Frontiers in Physiology|February 27, 2024
Optimization of training for professional rugby union players: investigating the impact of different small-sided games models on GPS-derived performance metricsXiangyu Ren, Mathieu Henry, Simon Boisbluche, et al.
Heliyon|September 17, 2024
Assessing pre-season workload variation in professional rugby union players by comparing three acute:Chronic workload ratio models based on playing positionsXiangyu Ren, Simon Boisbluche, Kilian Philippe, et al.
Heliyon|June 2, 2023
Effects of preseason training on body composition, running performance, biochemical markers and workload variation in professional rugby union playersXiaopan Hu, Noe Thierry Baba, Kilian Philippe, et al.
European Journal of Sport Science|August 23, 2025
Machine Learning in Rugby Union: Predicting and Identifying Key Performance Indicators for Professional Rugby Union Players in Match Play Based WorkloadXiangyu Ren, Simon Boisbluche, Kilian Philippe, et al.
European Journal of Sport Science|September 25, 2025
Global Positioning System-Derived Metrics and Machine Learning Models for Injury Prediction in Professional Rugby Union PlayersXiangyu Ren, Simon Boisbluche, Kilian Philippe, et al.
Plos One|March 29, 2024
Position-specific workload of professional rugby union players during tactical periodization trainingXiaopan Hu, Simon Boisbluche, Kilian Philippe, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Plos One|October 8, 2025
Position-specific workload and performance analysis in professional rugby union: Insights from global positioning system data and principal component analysisXiangyu Ren, Simon Boisbluche, Kilian Philippe, et al.
Heliyon|November 11, 2025
Retraction notice to "Effects of preseason training on body composition, running performance, biochemical markers and workload variation in professional rugby union players" [Heliyon 9 (2023) e16250]Xiaopan Hu, Noe Thierry Baba, Kilian Philippe, et al.
Journal of Strength and Conditioning Research|July 28, 2023
Effects of Tactical Periodization on Workload, Physical Fitness, and Well-Being in Professional Rugby Union Players During a Preseason PeriodXiaopan Hu, Simon Boisbluche, Kilian Philippe, et al.
Frontiers in Physiology|February 27, 2024
Optimization of training for professional rugby union players: investigating the impact of different small-sided games models on GPS-derived performance metricsXiangyu Ren, Mathieu Henry, Simon Boisbluche, et al.
Heliyon|September 17, 2024
Assessing pre-season workload variation in professional rugby union players by comparing three acute:Chronic workload ratio models based on playing positionsXiangyu Ren, Simon Boisbluche, Kilian Philippe, et al.
Heliyon|June 2, 2023
Effects of preseason training on body composition, running performance, biochemical markers and workload variation in professional rugby union playersXiaopan Hu, Noe Thierry Baba, Kilian Philippe, et al.
European Journal of Sport Science|August 23, 2025
Machine Learning in Rugby Union: Predicting and Identifying Key Performance Indicators for Professional Rugby Union Players in Match Play Based WorkloadXiangyu Ren, Simon Boisbluche, Kilian Philippe, et al.
European Journal of Sport Science|September 25, 2025
Global Positioning System-Derived Metrics and Machine Learning Models for Injury Prediction in Professional Rugby Union PlayersXiangyu Ren, Simon Boisbluche, Kilian Philippe, et al.
Plos One|March 29, 2024
Position-specific workload of professional rugby union players during tactical periodization trainingXiaopan Hu, Simon Boisbluche, Kilian Philippe, et al.
Pageof 1