Vol. 6, Issue 1, Part C (2024)

Hockey is among a multitude of sports. Despite being a specialized sporting event that requires a unique skill, there has been less reporting on trend data. The objective of this study was to reference the published data for analysis, clustering, and evaluation of trend topics. The present study utilized the search terms "Hockey" and "Dribbling" to retrieve relevant English publications published in the SCOPUS database. The bibliometric tool was conducted using the RStudio software. The result from the database found twenty-three articles between 1990 and 2023 from "Hockey and Dribbling" citations were published in 18 journals. The network words from hockey and dribbling showed the highest frequency among female (9.6%), followed by hockey (9.6%), human (9.6%), male (9.6%), adult (9.6%), article (6.4%), athletic performance (6.4%), physiology (5.4%), human experiment (5.4%), humans (4.3%), sports (4.3%), athlete (3.2%), body composition (3.2%), body height (3.2%), and so on. The network approach analysis revealed four dominant clusters: (1) hockey, human, adult, athletic performance, physiology; (2) female, male, article, human experiment, sport, etc.; (3) velocity, anthropometry, body mass, skill; and (4) body composition, young adult, and fitness, respectively. In addition, the factorial analysis was conducted on terms that exhibited four distinct clusters. The research trend topic on hockey and dribbling has been focused on various topics including velocity, fitness, young adults, body height, body composition, hand strength, aptitude, athletic performance, physiology, reliability, skill, body mass, anthropometry, reaction time, attention, exercise test, and heart rate. Therefore, this study provides a summary of the potential areas of concentration for future research topics on hockey and dribbling in sports, including human subjects, anthropometry, athletic performance, fitness, and physiology.