A REVIEW AND VISUALIZATION ON COMPETITIVE SWIMMING FROM 1998 TO 2022
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Published:
Dec 27, 2022
Page:
13-22
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HUANG ERZHUO
Physical Education Department, Guangdong University of Petrochemical Technology, Maoming, Guangdong-525000, China.
Abstract
This article aims to explore the state of knowledge and research opportunities at the intersection of Competitive Swimming. To this end, this article utilizes bibliometric analysis to visualize and quantitatively evaluate the literature. Citation datasets were downloaded from the Web of Science core collection from 1998 to 2022. The research was performed using the CiteSpace tool. The results revealed that journal publications (435 articles) are the most in this field with the most productive country is Portugal. In addition, the University of Porto was ranked first based on citations. While Medicine & Science in Sports & Exercise was the top-ranked journal, Energetics and Biomechanics as Determining Factors of Swimming Performance: Updating the State of the Art and The Use of Neural Network Technology to Model Swimming Performance were the most representative references based on citation counts (10), respectively. Although the field is still young and promising, the article will be a starting point for new researchers willing to advance their research in this domain.
Keywords:
Competitive swimming, domain map analysis, citespace, bibliometrics
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Review Article
References
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Available:https://doi.org/10.1016/j.jsams.2009.01.003
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Available:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3778687/
Barbosa T, Morouço P, Jesus S, Feitosa W, Costa M, Marinho D, Silva A, Garrido N. The Interaction Between Intra-Cyclic Variation of the Velocity and Mean Swimming Velocity in Young Competitive Swimmers. International Journal of Sports Medicine. 2012;34(02): 123–130.
Available: https://doi.org/10.1055/s-0032-1312582
Lätt E, Jürimäe J, Haljaste K, Cicchella A, Purge P, Jürimäe T. Longitudinal Development of Physical and Performance Parameters during Biological Maturation of Young Male Swimmers. Perceptual and Motor Skills. 2009;108(1):297–307.
Available:https://doi.org/10.2466/pms.108.1.297-307
Pyne DB, Swanwick KM. Monitoring the lactate threshold in world-ranked swimmers. Medicine and Science in Sports and Exercise. 2001;33(2):291–297.
Available: https://doi.org/10.1097/00005768-200102000-00019
Veiga S, Roig A, Gómez-Ruano MA. Do faster swimmers spend longer underwater than slower swimmers at World Championships? European Journal of Sport Science. 2016;16(8):919–926.
Available:https://doi.org/10.1080/17461391.2016.1153727
Veiga S, Cala A, G Frutos P, Navarro E. Comparison of starts and turns of national and regional level swimmers by individualized-distance measurements. Sports Biomechanics. 2014;13(3):285–295.
Available:https://doi.org/10.1080/14763141.2014.910265
Chen C. CiteSpace: A Practical Guide for Mapping Scientific Literature (Computer Science, Technology and Applications) (UK ed.). Nova Science Pub Inc; 2016.
Hołub M, Prajzner A, Stanula A, Weiss K, Knechtle B. Impact of the COVID-19 pandemic on competitive swimming performance. European Review for Medical and Pharmacological Sciences. 2022;26(8): 3030–3037.
Available:https://doi.org/10.26355/eurrev_202204_28634
Tomohiro Gonjo, Bjørn Harald Olstad. Start and Turn Performances of Competitive Swimmers in Sprint Butterfly Swimming. Journal of Sports Science and Medicine. 2020;19(4):727–734.
Available:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7675631/
Barry L, Lyons M, McCreesh K, Powell C, Comyns T. International survey of training load monitoring practices in competitive swimming: How, what and why not? Physical Therapy in Sport. 2022;53:51–59.
Available:https://doi.org/10.1016/j.ptsp.2021.11.005
Tan JQ, Lee MJ, Boey D, Lum D, Barbosa TM. The transfer of dry-land strength & power into thrust in competitive swimming. Sports Biomechanics. 2021;1–12.
Available:https://doi.org/10.1080/14763141.2020.1869815
Olstad BH, Wathne H, Gonjo T. Key Factors Related to Short Course 100 m Breaststroke Performance. International Journal of Environmental Research and Public Health. 2020;17(17):6257.
Available:https://doi.org/10.3390/ijerph17176257
Gonjo T, Tomohiro Gonjo, Olstad B. Bjørn Harald Olstad. Start and Turn Performances of Competitive Swimmers in Sprint Butterfly Swimming. Journal of Sports Science and Medicine. 2020;19(4):727–734.
Available:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7675631/
Provost F, Fawcett T. Data Science and its Relationship to Big Data and Data-Driven Decision Making. Big Data. 2013;1(1):51–59.
Available:https://doi.org/10.1089/big.2013.1508
Watanabe NM, Shapiro S, Drayer J. Big Data and Analytics in Sport Management. Journal of Sport Management. 2021;35(3):197–202.
Available: https://doi.org/10.1123/jsm.2021-0067
Goes F, Meerhoff L, Bueno M, Rodrigues D, Moura F, Brink M, Elferink-Gemser M, Knobbe A, Cunha S, Torres R, Lemmink K. Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review. European Journal of Sport Science. 2020;21(4):481–496.
Available:https://doi.org/10.1080/17461391.2020.1747552
Millington B, Millington R. ‘The Datafication of Everything’: Toward a Sociology of Sport and Big Data. Sociology of Sport Journal. 2015;32(2):140–160.
Available: https://doi.org/10.1123/ssj.2014-0069
Özkadı T, Demir E, Yıldırım T. Bibliometric Analysis of Swimming Publications in Sports Science: A Medical Perspective. Hitit Medical Journal. 2022;4(2):39–48.
Available:https://doi.org/10.52827/hititmedj.1121920
Smedegård OI, Aas B, Stene J, Georges L, Carlucci S. Systematic and data-driven literature review of the energy and indoor environmental performance of swimming facilities. Energy Efficiency. 2021;14(7).
Available: https://doi.org/10.1007/s12053-021-09985-6
Chen C. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology. 2006;57(3):359–377.
Available: https://doi.org/10.1002/asi.20317
Su X, Li X, Kang Y. A Bibliometric Analysis of Research on Intangible Cultural Heritage Using Cite Space. SAGE Open. 2019;9(2): 1–19.
Available:https://doi.org/10.1177/2158244019840119
Shi Y, Liu X. Research on the Literature of Green Building Based on the Web of Science: A Scientometric Analysis in CiteS pace (2002–2018). Sustainability. 2019; 11(13):3716.
Available: https://doi.org/10.3390/su11133716
Guo Y, Geng X, Chen D, Chen Y. Sustainable Building Design Development Knowledge Map: A Visual Analysis Using Cite Space. Buildings. 2022;12(7): 969.
Available:https://doi.org/10.3390/buildings12070969
Liang YD, Li Y, Zhao J, Wang XY, Zhu HZ, Chen XH. Study of acupuncture for low back pain in recent 20 years: a bibliometric analysis via Cite Space. Journal of Pain Research. 2017;10:951–964.
Available: https://doi.org/10.2147/jpr.s132808
Wu M, Wang Y, Yan C, Zhao Y. Study on subclinical hypothyroidism in pregnancy: a bibliometric analysis via CiteSpace. The Journal of Maternal-Fetal & Neonatal Medicine. 2020;35(3):556–567.
Available:https://doi.org/10.1080/14767058.2020.1729731
Dang Q, Luo Z, Ouyang C, Wang L, Xie M. Intangible Cultural Heritage in China: A Visual Analysis of Research Hotspots, Frontiers, and Trends Using Cite Space. Sustainability. 2021;13(17):9865.
Available: https://doi.org/10.3390/su13179865
Barbosa TM, Fernandes RJ, Keskinen KL, Vilas-Boas JP. The influence of stroke mechanics into energy cost of elite swimmers. European Journal of Applied Physiology. 2008; 103(2):139–149.
Available: https://doi.org/10.1007/s00421-008-0676-z
Barbosa TM, Bragada JA, Reis VM, Marinho DA, Carvalho C, Silva AJ. Energetics and biomechanics as determining factors of swimming performance: updating the state of the art. Journal of Science and Medicine in Sport. 2010;13(2):262–269.
Available:https://doi.org/10.1016/j.jsams.2009.01.003
Silva AJ, Aldo M. Costa, Paulo Moura Oliveira, Victor Machado Reis, Jose M. Saavedra, Jurgen Perl, Abel Rouboa, & Daniel A. Marinho. The use of neural network technology to model swimming performance. Journal of Sports Science and Medicine. 2007;6(1):117–125.
Available:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3778687/
Barbosa T, Morouço P, Jesus S, Feitosa W, Costa M, Marinho D, Silva A, Garrido N. The Interaction Between Intra-Cyclic Variation of the Velocity and Mean Swimming Velocity in Young Competitive Swimmers. International Journal of Sports Medicine. 2012;34(02): 123–130.
Available: https://doi.org/10.1055/s-0032-1312582
Lätt E, Jürimäe J, Haljaste K, Cicchella A, Purge P, Jürimäe T. Longitudinal Development of Physical and Performance Parameters during Biological Maturation of Young Male Swimmers. Perceptual and Motor Skills. 2009;108(1):297–307.
Available:https://doi.org/10.2466/pms.108.1.297-307