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Crossref Citations
1. AI-Based Prediction of Visual Performance in Rhythmic Gymnasts Using Eye-Tracking Data and Decision Tree Models
Ricardo Bernardez-Vilaboa, F. Javier Povedano-Montero, José Ramon Trillo, Alicia Ruiz-Pomeda, Gema Martínez-Florentín, Juan E. Cedrún-Sánchez
Photonics vol: 12 issue: 7 first page: 711 year: 2025
doi: 10.3390/photonics12070711
2. Visual Performance and Sports: A Scoping Review
Liam Lochhead, Jiren Feng, Daniel M. Laby, Lawrence G. Appelbaum
Journal of Sport and Exercise Psychology vol: 46 issue: 4 first page: 205 year: 2024
doi: 10.1123/jsep.2023-0267
3. INCREASING LEARNING OUTCOMES RHYTMIC GYMNASTICS ACTIVITIES THROUGH ACTIVE LEARNING APPROACHES
Abdullah, Moch. Asmawi, Samsudin
International Journal of Engineering Technologies and Management Research vol: 6 issue: 10 first page: 65 year: 2020
doi: 10.29121/ijetmr.v6.i10.2019.581
4. Developing and testing a structured visual skills screening tool for use in sports vision training: an exploratory study with field hockey participants
Zoe L. Wimshurst, Paul T. Sowden
Asian Journal of Sport and Exercise Psychology vol: 5 issue: 1 first page: 10 year: 2025
doi: 10.1016/j.ajsep.2025.04.001
5. The Effect of Visual Training on the Visual Skills of Skilled Badminton Athletes
Bijan Rajaeian, Rasoul Yaali, sara oftadeh, Ali Shah hoseini, Shabnam Rezvan Nobahar
Research in Sport Management and Motor Behavior vol: 11 issue: 22 first page: 40 year: 2022
doi: 10.52547/JRSM.11.22.40
6. EEG differences in competitive female gymnastics, soccer, and esports athletes between resting states with eyes closed and open
Papatsorn Ramyarangsi, Simon J. Bennett, Vorasith Siripornpanich, Ampika Nanbancha, Akachai Pokaisasawan, Winai Chatthong, Amornpan Ajjimaporn
Scientific Reports vol: 14 issue: 1 year: 2024
doi: 10.1038/s41598-024-74665-1


