Scientific mapping of somatotype research publications: A bibliometric analysis (1944–2023)
Abstract
The aim of this study was to map the global somatotype research trends using a bibliometric analysis. The method employed a bibliometric analysis of data sourced from the Scopus database, yielding 2,438 relevant studies authored by 7,609 individuals. To analyze these data, VOSviewer and Biblioshiny were employed to visualize publication trends, key authors, institutions, journals, and keywords. Key findings include a significant research focus in "Medicine" (39.6%) and "Health Professions" (13.1%), with emerging interdisciplinary opportunities in "Psychology" and "Engineering." Notable research themes include "somatotype components", "BMI", and "body image", with emerging studies focusing on 3D human models and artificial neural networks. Despite these advancements, international collaboration remains limited, mainly among industrialized nations. Additionally, the analysis highlights the critical role of somatotype in sports science for optimizing athlete performance and talent identification. Furthermore, new technologies, such as 3D scanning and machine learning, promise advancements in somatotype assessment. Future research should focus on enhancing validity and reliability by integrating advanced technologies and fostering international collaboration to overcome scientific isolation. In conclusion, somatotype research has significantly evolved, with concentrated efforts in medicine and health professions and expanding interdisciplinary collaborations. This study provides valuable insights, emphasizing the need for technological advancements and greater global collaboration.
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References
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1. The Publication Service of the University of Murcia (the publisher) has the Publication Rights (Copyright) to the published papers and works, and favors and permits the reusing of the same under the license indicated in point 2.
© Servicio de Publicaciones, Universidad de Murcia, 2013
2. The papers and works are to be published in the digital edition of the Journal under the license Creative Commons Reconocimiento-No Comercial-Sin Obra Derivada 3.0 España (legal text). The copying, using, spreading, transmitting and publicly displaying of the papers, works or publication are permitted as long as: i) the authors and original sources (Journal, publisher and URL of the publication) are quoted; ii) it is not used for commercial benefit; iii) the existence and specifications of this users license are mentioned.
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