Jorge E. Morais1,2*
Tiago M. Barbosa1,2
Raul Arellano3
António J. Silva4,5
Tatiana Sampaio2,4,6João P. Oliveira2,4,6
Daniel A. Marinho4,6
- 1Department of Sports Sciences, Instituto Politécnico de Bragança, Bragança, Portugal
- 2Research Centre for Active Living and Wellbeing (LiveWell), Instituto Politécnico de Bragança, Bragança, Portugal
- 3Aquatics Lab, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
- 4Research Centre in Sports, Health and Human Development (CIDESD), Covilhã, Portugal
- 5Department of Sports Sciences, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal
- 6Department of Sports Sciences, University of Beira Interior, Covilhã, Portugal
The aim of this study was to conduct a scoping and bibliometric review of swimming articles related to race analysis. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to identify relevant studies. Articles on race analysis in swimming published between 1984 and December 31, 2023 were retrieved from the Web of Science database. 366 records were screened and a total of 74 articles were retained for analysis. Until 2012, there were some time intervals with no or few publications. From 2012, there was a clear upward trend in publications and citations. This theme was led by the United States of America, Australia, and Spain. Australia and Spain maintain their status as the countries with the most publications. The analysis of author collaborations revealed two clusters with Spanish authors, and the remaining clusters are composed of Portuguese, Swiss, and Australian authors. With this bibliometric review, it has been possible to understand the evolution of the articles published on race analysis in swimming, the countries and the authors that have contributed most to this topic over the years. The prediction model shows that the number of articles and citations on this topic will continue to increase over the next 10 years (until 2034).
1 Introduction
Swimming is a time-based sport where improved performance is strongly dependent on the holistic interaction of several determinants from different scientific fields (e.g., anthropometrics, motor control, biomechanics, energetics/efficiency) (1). Experimental (2, 3) and numerical (4, 5) research in swimming has helped to better understand these findings and how to apply them in a training context to improve performance. However, this type of research tends to be more limited or restricted in terms of the number of participants and their level of performance (6). In fact, even today, experimental studies of swimming performance tend to recruit small numbers of swimmers, usually at the national level, and adolescent or young adult swimmers (7, 8). On the other hand, race analysis from official competitions (national or international championships or Olympic Games) allows to analyze: (i) a larger number of swimmers; (ii) elite level swimmers, and; (iii) analyze these swimmers in a real competition scenario (6, 9). These analyses are important for both swimmers and coaches to understand the behavior of the latter in real competition scenarios, so that swimmers can understand how to improve for future competitions.
To the best of our knowledge, only one study has conducted a narrative review study of race analysis in swimming to highlight the knowledge on this topic to date (10). Usually, studies on this topic focus on the performance times and kinematic variables (spatiotemporal) related to the swimmers' start, swim stroke, turns, and finish (11–13). Up to that point, it was noted that swimming research on race analysis had focused primarily on long-course, adult/elite, and 100- and 200-meter events (10).
The review studies (systematic, narrative, or scoping) perform a quantitative or qualitative data analysis by synthesizing the results of the selected studies and drawing conclusions based on the overall body of evidence (14). These “traditional” reviews focus on identifying, selecting, and synthesizing all published research on a particular topic. Conversely, bibliometric reviews are a rigorous process for evaluating large amounts of scientific information to provide meaningful interpretations of research topics and future trends (15, 16). They offer a unique perspective by systematically analyzing publication trends, key contributors, and emerging clusters in the step test literature (17). They can identify the countries, journals, institutions, and authors that are most active in each research area, as well as existing collaborations between authors, institutions, and countries. Thanks to bibliometric studies, researchers can master the literature in a short time by reading the abstracts obtained from the analysis of hundreds of articles from the past to the present (18, 19).
Bibliometric reviews have been used in several fields of research, such as linguistics (19), medicine (20), or environmental health (21). In the case of sport, studies can be found related to coaching leadership (22), sport management (23), or sport education (24). However, there are few studies on sport performance (25, 26) and only one in swimming (27). A bibliometric review of race analysis in swimming can provide insights into collaborative networks among researchers, institutions, and countries. This information is valuable for understanding the global landscape of scientific collaboration on this topic. Therefore, the aim of this study was to perform a scoping and bibliometric review of swimming articles related to race analysis. It is expected to better understand the chronological distribution of publications and citations, the countries/regions and institutions network, and the journal and authors that have contributed most to this topic.
2 Methods
2.1 Data source and search strategy
The Web of Science (WoS) is a collection of reliable global citation databases covering more than 250 fields and all regions (28). The WoS list provides extensive information on definitions, coverage notes, and the most significant impact factor score for various journals selected based on the index (28). It has been widely used in previous bibliometric studies, including sports (24, 25). Therefore, the WoS Core Collection (WoS by Clarivate Analytics) database was used in this bibliometric review.
The search spanned until December 31, 2023, and two strategies were developed to account for the recent emergence of the topic and the different nomenclature used by authors in the field. Thus, the search strategies were as follows: (i) (((TS = (“swimming”)) AND TS = (“race analysis”)) OR TS = (“swimming”)) AND TS = (“pacing”) and (ii) ((TS = (“swimming”)) AND TS = (“race”)) AND TS = (“analysis”). The decision to use two different strategies was based on the recognition that authors exploring race analysis in swimming may use different terms. This approach aimed to compile a comprehensive collection of articles on the topic, ensuring that the literature review captured the most relevant publications.
2.2 Inclusion and exclusion criteria
The following inclusion criteria were applied: (i) written in English; (ii) articles that directly addressed the topic of race analysis in swimming; (iii) articles that provided information on critical performance aspects, such as the start, turn(s), clean swim, and finish; (iv) articles that covered race analysis in any stroke technique and in different pool sizes; (v) articles that included both able-bodied and Paralympic swimmers; and (vi) articles that evaluated race analysis in official national and international swimming events.
Exclusion criteria were: (i) articles written in languages other than English; (ii) articles lacking information on critical performance aspects, such as the start, turn(s), clean swim, and finish; (iii) articles not evaluating race analysis in official swimming events; (iv) articles focusing on open water competitions; and (v) articles not retrieved or not retrieved from WoS during this period.
2.3 Screening process
The titles and abstracts of the selected publications were reviewed separately by two reviewers. The full text was collected in cases where the eligibility of an article was unclear. The same two reviewers examined the integral's articles and assessed the eligibility criteria. Each article underwent two rounds of independent evaluation by these reviewers. First, the title and abstract were evaluated, and then the full content of the article was evaluated. Eligibility disputes were resolved through discussion and, when necessary, with the assistance of a third reviewer.
The WoS search yielded 366 records, of which 26 were duplicates and were therefore excluded. The remaining 340 studies were then assessed by reading the relevant sections. 265 studies that did not meet the inclusion criteria were excluded. Finally, a total of 74 articles met the defined criteria and were included in the review. Figure 1 shows the identification, screening, and inclusion of the articles from the WoS database for the review. When full-text publications were accessible, further information was retrieved for an in-depth study, including the approach and results. The 74 articles included in this review are listed in Table 1. This includes information on the swimmers and the level of competition, the swimming event/stroke, and the sexes analyzed.
Figure 1. Flowchart of the review.
Table 1. Summary of the 74 articles included in the review. This includes information on the swimmers and the level of competition, the swimming event/stroke, and the sexes analyzed.
2.4 Analytical methods and tools
Dedicated bibliometric software was used to extract and analyze the bibliometric data. Van Eck and Waltman developed the Java-based measurement software VOSviewer (https://www.vosviewer.com), which focuses on the construction and visualization of bibliometric networks (17). These networks include journals, researchers, or individual publications, and can be constructed based on citation, bibliographic coupling, co-citation, or co-authorship relationships. Therefore, different colors were used to visually represent unique clusters in the cooperative network visualization and the co-sponsorship network visualization, while lines connecting nodes indicate collaborative links. In particular, colors in the average publication year graph indicate different years, which facilitates temporal analysis. In addition, the color spectrum, particularly the red hue in density graphs, also reflects the different densities, with redder hues indicating denser locations.
The first category is the evaluation of individuals (primarily authors, institutions, journals, and countries) using bibliographic data. The second category, scientific mapping, is a spatial visual representation of bibliometric networks that explores the relationships between disciplines, fields, specialties, individual articles, and authors. Thus, a thorough review of the race analysis literature and its evolution was accomplished by analyzing the previous categories in the VOSviewer software.
A manuscript's citations are strongly related to the number of years since its publication (20). In general, a paper published earlier will have more time to accumulate citations than one published more recently. As a result, raw citations are not a reliable metric for assessing publication impact. Therefore, the citation analysis in this study was normalized to account for differences in publication years, allowing for a more accurate assessment of the impact of scholarly articles. Normalization is essential in bibliometric analyses to reduce bias caused by publication date differences in citation practices (98). Therefore, the number of citations achieved by each article was divided by the age of the publication in years, which was calculated by subtracting the current year (year 2023) from the year of publication. This time-based normalization method allowed for the calculation of average citations per year since publication, resulting in a standardized metric for comparing the impact of articles across publication years. The online platform available at https://app.datawrapper.de was used to generate the world map. The estimation of the number of articles likely to be published in the next 10 years (until 2033), based on past publication trends, was calculated using Excel's exponential smoothing (Microsoft, Microsoft 365, Washington, USA). This allows time-series data to be analyzed and predictions or forecasts to be made based on historical trends.
3 Results
3.1 Progression of publications by year
Between 1984 (the year of the first publication with race analysis) and 2023, the WoS database contained a total of 74 articles related to race analysis in swimming. Figure 2A shows the publication output regarding race analysis in swimming research during the period from 1984 to 2023. Figure 2B shows the citation output regarding race analysis in swimming research during the period from 1984 to 2023. The yearly publication trends showed intermittent gaps in certain time intervals with no publications, especially in the years 1985–1993, 1995–1999, 2003–2007, and 2010–2011. Overall, there was a clear upward trend in publications on the topic until 2021. After 2021, however, there was a marked decrease in annual publications, with 14 records in 2021, 11 in 2022, and 6 in 2023. Notably, the largest number of articles was published in 2021, with 14 articles on the topic of race analysis in swimming. 2021 is also the year with the largest number of publications and citations (14 publications and 271 citations).
Figure 2. (A)—Publication Output on race analysis in swimming by year and estimated number of articles for the next 10 years. The red solid line represents the estimate and the red dashed lines represent the 95% confidence intervals. (B)—Citation outputs related to race analysis in swimming research by year and the estimated number of citations for the next 10 years. The red solid line represents the estimate and the red dashed lines the 95% confidence intervals.
Publications related to race analysis in swimming showed a segmented evolution into three distinct phases, according to the number of publications: the first phase (1984–2012), the second phase (2012–2021), and the third phase (2021–2023). During this first phase, from 1984 to 2012, the field experienced intermittent publications, with sporadic activity in some years and no publications at all in others. The second phase, from 2012 to 2021, saw a notable increase in publications. After sporadic publications until 2012, the field experienced a turning point in 2014, when the number of publications exceeded six for the first time. The third phase, from 2021 to 2023, shows a reversal of the trend. While 2021 marked the peak with 14 publications, the number of publications subsequently decreased to 11 in 2022 and 6 in 2023. The exponential smoothing estimation model showed an average of 7.0 ± 0.5 articles (95% confidence intervals: −2.3–20.1) that may be published per year between 2024 and 2033. For citations, the estimation model indicated an average of 215.5 ± 11.2 citations (95% confidence intervals: 112.7–318.4) per year between the same time periods.
3.2 Web of science (WoS) categorization
By analyzing the categories within the WoS, it was possible to categorize the research field and identify possible interdisciplinary connections. Figure 3 presents the analysis of the WoS categories. The top-ranking fields are Sports Sciences (n = 61 publications), Biomedical Engineering (n = 10 publications), Physiology (n = 8 publications), Environmental Sciences (n = 5 publications), Public Environmental Occupational Health (n = 5 publications), Multidisciplinary Sciences (n = 4 publications), Biology (n = 2 publications), Multidisciplinary Chemistry (n = 2 publications), Multidisciplinary Engineering (n = 2 publications), and Multidisciplinary Materials Science (n = 2 publications). Sports Sciences emerges as the top category with 61 (81.3%) publications, underscoring its paramount importance in race analysis in the swimming research landscape.
Figure 3. Top 10 Web of science categories for race analysis research.
3.3 Analysis of countries/regions and institutions
A total of 31 countries and regions have contributed to the analysis of race in swimming research, according to the country of the correspondent. In particular, the historical perspective highlights the development of global research. In the first decade after the publication of the first article, race analysis in swimming was led by only three countries (United States of America—USA, Australia, and Spain). Over the next two decades, however, researchers from seven countries/regions (Canada, Belgium, England, Estonia, France, Scotland, and Wales), along with the aforementioned USA, Australia, and Spain, meaningfully expanded their involvement.
The distribution of the number of articles by country/region is shown in Figure 4. The top ten countries and regions were Spain (n = 20 publications) with 27% of the total publications, followed by Australia (n = 16 publications), Switzerland (n = 13 publications), England (n = 12 publications), Portugal (n = 11 publications), France (n = 9 publications), New Zealand (n = 8 publications), USA (n = 8 publications), Czech Republic (n = 7 publications), and Germany (n = 6 publications).
Figure 4. World map of the number of articles in swimming research.
Co-authorship cluster analysis, which determines the relatedness of articles based on the number of co-authored documents, was performed on 10 countries that produced at least 5 articles from the 31 countries/regions that published articles on race analysis in swimming and had international collaboration among their authors.
Figure 5A shows the visualization map of the international collaboration network generated by VOSviewer (panel A1) and the visualization map of the timeline network generated by VOSviewer (panel A2). According to the results of the clustering analysis, four different clusters were formed: Cluster 1: Australia, England, Germany, and USA; Cluster 2: France and Portugal; Cluster 3: Czech Republic and Portugal; and Cluster 4: New Zealand and Spain. In addition, the total link strength scores were calculated, indicating the strength of cooperation among 31 countries. The top 10 countries/regions with the highest total link strength scores were: Australia = 14, Switzerland = 14, Spain = 11, Czech Republic = 11, England = 10, Portugal = 7, Germany = 7, New Zealand = 7, France = 6, and USA = 5.
Figure 5. (A1)—The cooperation network visualization map of institutions based on VOSviewer. (A2)—The cooperation network visualization map of institutions based on VOSviewer with the timeline. (B1)—The cooperation network visualization map of authors based on VOSviewer. (B2)—The cooperation network visualization map of authors based on VOSviewer with timeline. (C1)—Keywords clustering map based on VOSviewer. (C2)—Keywords clustering map with the timeline based on VOSviewer.
3.4 Analysis of journals
A total of 26 journals were involved in publishing race analysis in swimming. The top ten journals are: Journal of Sports Sciences (n = 13 publications), Sports Biomechanics (n = 7 publications), International Journal of Sports Physiology and Performance (n = 7 publications), International Journal of Performance Analysis in Sport (n = 6 publications), Journal of Sports Science and Medicine (n = 6 publications), International Journal of Environmental Research and Public Health (n = 5 publications), European Journal of Sport Science (n = 3 publications), Frontiers in Sports and Active Living (n = 3 publications), Applied Sciences (n = 2 publications), BMC Research Notes (n = 2 publications).
3.5 Analysis of authors
Since 1984, 195 researchers have contributed to the advancement of research in this specific area. The use of visualization maps can provide valuable insights into potential collaborators, helping researchers to establish productive partnerships. Using a threshold of 4 documents per author, Figure 5B1 allows the visualization of five distinct clusters. As shown in the figure, the research landscape in this domain is mainly a dense network. The presence of an 11-member team participating in the collaboration is noteworthy, as highlighted in Figure 5B1. Visual inspection reveals that eight of them will be actively collaborating until December 31, 2023 (Figure 5B2. The top 10 most active authors, based on the number of documents, are Born DP (n = 10), Veiga S (n = 10), Arellano R (n = 9), Barbosa TM (n = 9), Marinho DA (n = 9), Morais JE (n = 8), Roman M (n = 7), Polach M (n = 6), Cuenca-Fernández F (n = 5), and Navarro E (n = 5).
3.6 Analysis of key words
Co-occurrence clustering of keywords can help identify emerging trends and patterns in the development of a topic, as well as hot areas in the field of study. It can reveal the research frontier of the field and the internal organization of an academic field. Figure 5C shows the co-occurrence keyword analysis. By using a threshold of at least five occurrences per keyword, it is possible to visualize distinct clusters. The larger the dot, the more occurrences and the more representative of the hotspots in the field. The nodes are connected to represent the strength of the association, and the more lines represent the more occurrences of two keywords in the same article. The different colors represent different clusters, i.e., research topics, and the time of appearance is represented from blue to yellow.
Therefore, the clusters emerged with the following keywords: cluster 1 (distance, events, exercise, pacing, stroke, stroke rate, swimming, swimming performance, velocity); cluster 2 (100 m, elite swimmers, freestyle, kinematics, performance, reproducibility, strategy, variables); cluster 3 (analysis, biomechanics, competition, start, success, swimmers, variability); and cluster 4 (elite, front crawl, parameters, performance analysis, race analysis, strategies and underwater). Table 2 shows the link strength of each keyword and the number of occurrences.
Table 2. Link strength and number of occurrences of keywords in swimming research.
3.7 Analysis of references
Since 1984, publications in this area have been cited 1,631 times, with an average of 15.23 ± 13.09 citations per year. The most cited article is (6) with a total of 139 citations. The top five normalized cited references are detailed in Table 3, which shows the average citations per year for each article. Notably, the article with the highest normalized citation value is by the authors Morais JE, Barbosa TM, Forte P, Bragada JA, Castro FADS, and Marinho DA with the article entitled “Stability analysis and prediction of pacing in elite 1,500 m freestyle male swimmers” (64).
Table 3. The five most cited references in swimming research, with the average number of citations per year for each article (citation normalization).
4 Discussion
The aim of this study was to perform a scoping and bibliometric review of swimming articles related to race analysis. During the period analyzed, there were some intervals without any publication. However, from 2012 onwards there was a clear sustained publication process in this topic, which reached its peak in 2021. Several decades ago, advances in technology and its access made it possible to record sports events, including swimming. Since then, coaches and athletes have begun to recognize the importance of reviewing such videos to analyze technique, identify strengths and weaknesses, and improve performance (99). This increases the role of the swimming analyst within the overall team (100). In particular, since 2013, swim race analysts/researchers have begun to use special filming setups to perform race analysis with additional kinematic data rather than just using race and split times (43, 91, 92). There have also been research groups that have performed race analyses based on video footage obtained and approved by official European organizers (11, 67). These analyses provided deeper insights into the swimmers' behavior in real competition contexts regarding all phases of the swim race, thus adding to the body of knowledge on this topic (57, 65). As a result, the number of citations was based on the number of articles published. With more information available, other researchers could better explain and interpret their findings. In addition, exponential smoothing, which is used to understand future trends in both publications and citations, indicates a continued increase over the next 10 years. Studies of race analysis in swimming have argued the importance of this type of article in understanding the pacing behavior of swimmers in various events and in defining race strategies (10, 101).
Extending the categorization within the WoS database, the implications of these classifications in the context of race analysis in swimming research were analyzed. The categorization provides insight into the research and highlights the interdisciplinary nature of the field. Sports science emerged as the dominant category, accounting for 81.3% of the publications examined. Notable examples include articles such as (55) (63), and (73), which represent the pivotal role of sports science in the study of various dimensions of swimming performance, ranging from biomechanical analysis to training methodologies and performance evaluation. Furthermore, the presence of interdisciplinary connections is evident, as evidenced by articles such as (43) and (72) in biomedical engineering (30), in physiology, and (39) and (50) in environmental sciences. These interdisciplinary connections represent collaborative efforts and diverse perspectives that contribute to the advancement of knowledge in race analysis within swimming.
The present results show that 31 countries have contributed to the topic of race analysis in swimming by the end of 2023. While initially only the USA (62), Australia (74), and Spain (6) published articles on race analysis, other developed countries also contributed to the development of this topic. Nevertheless, it must be emphasized that Spain is still the country with the highest number of publications. Looking at the topic of swimming in a broader sense, i.e., including all subtopics related to swimming (e.g., performance, biomechanics, training, etc.), it was found that the same countries are the most active overall (USA, UK, Australia, Brazil, France, Portugal, and Spain) (27). Therefore, it can be said that these countries are the ones that contributed strongly to the knowledge of swimming. Regarding the co-authorship cluster analysis, the highest total link strength score was observed for Australia and the lowest for the USA. However, when referring to the last years, Spain emerges as the most cooperative country in publishing articles on swimming race analysis. In fact, from the analysis of the cooperation of the authors (which revealed five different clusters of authors), two are composed of Spanish authors. The others are composed of Portuguese, Swiss, and Australian authors. Moreover, considering the timeline, most of the Spanish and Portuguese clusters are still actively collaborating in recent years. As it happened in a broader context of swimming research (27), it seems that Portuguese researchers are also the most active researchers in this specific topic.
The results of the co-occurrence clustering of the keywords used in the reviewed articles show that “performance”, “swimming”, and “distance” are the most used keywords. However, it should be highlighted that the keywords “parameters”, “strategies”, “front-crawl”, “analysis”, and “success” are the most used in recent years. This keyword aspect is very important for this type of analysis. For example, based on the articles retained for analysis, it was found that some articles of the present research group were not selected for analysis (102, 103). This occurred because the selection of words in the title and keywords of the articles were not related to the chosen search strategy on this topic (please refer to the subsection “Data source and search strategy”). This highlights the importance of including specific words in the title and keywords of the articles so that readers who want to search for articles on a given topic can find them. Indeed, this co-occurrence clustering of keywords can provide insights into emerging trends and patterns in the evolution of a given topic (104). As for the articles with more references during the period analyzed, the article by Arellano and co-workers (6) is the most cited with 139 raw citations. However, when the normalization of citations is reported, the research group of Morais and co-workers appears with the three most referenced articles until the end of 2023 (11, 64, 67). As mentioned above, this normalization process is essential to reduce the bias caused by publication date variances. This allows a deeper insight into the articles that have a stronger impact in the literature. However, it should be mentioned that although this type of standardization is correct and used, it could positively bias the most recent publications compared to the previous ones. In fact, this topic was not frequently published until 2012. In the results section, the top ten journals that have published articles related to race analysis in swimming are listed. Therefore, it can be suggested that authors who want to publish articles on this topic should target such journals. However, one can argue about the effect of open access journals that may have influenced the distribution of publications in other journals. For example, studies published in the International Journal of Environmental Research and Public Health, which is not specific to Sports Sciences area, but has a good impact factor and accepts studies on this topic. In addition, and in relation to swimming, it was found that the journals in which these articles are published also tend to be the most influential, according to the average number of citations per published article (27). Race analysis in swimming is still a topic to be developed compared to other topics in swimming. It is therefore logical that the journals that publish such articles are also the ones that are cited the most.
Based on the findings of both the categorization analysis and the keyword co-occurrence analysis, the present study reveals potential research hotspots within the field of race analysis in swimming. The categorization analysis, as represented in the WoS database, highlights sports sciences as the dominant category, indicating a focus on performance metrics and training methods. This is consistent with the emergent themes identified in the keyword co-occurrence analysis, particularly in Cluster 1, which emphasizes swimming performance, stroke techniques, and velocity. In addition, the interdisciplinary connections observed in the categorization analysis, such as biomedical engineering and environmental sciences, are found in the keyword clusters, underscoring the multifaceted nature of swimming research. Specifically, Cluster 2 highlights the nuances of performance and reproducibility among elite swimmers, suggesting opportunities for further investigation of kinematic variables and strategic adaptations in competitive contexts. Cluster 3 delves into the biomechanical intricacies of competitive swimming, providing insights into swimmers' start techniques and variability of success. Additionally, Cluster 4 highlights parameters and strategies relevant to race analysis and performance evaluation, suggesting potential directions for research into elite-level front crawl techniques and underwater strategies. By elucidating these research hotspots, the present study provides a roadmap for future investigations and emphasizes the importance of interdisciplinary collaborations and focused investigations to advance knowledge and innovation in race analysis in swimming.
The main limitation is that only the WoS database was used to identify and screen studies on this topic. This may have neglected some studies on this topic, such as the study by Kennedy and co-workers (105). It should also be noted that some experts on this topic with great international experience did not publish in the aforementioned journals (scientific journals), but rather in another type of publication. However, it should be mentioned that the WoS database is considered to be the oldest, most widely used, and most authoritative database of research publications and citations in the world (28). It covers multidisciplinary topics, high-quality content, and introduces the concept of citation indexing, which allows researchers to track the influence of articles and identify seminal works in a given field. As recommendations for future studies, it can be stated that researchers can gain bibliometric insights into (i) the remaining sports that are held by the Fédération Internationale de Natation (FINA), i.e., open water swimming, diving, water polo, and synchronized swimming, and; (ii) other sports in general or specific topics within each sport.
5 Conclusions
This bibliometric review allowed to understand the evolution of the articles published on race analysis in swimming. Since the publication of the first three articles (1984), only since 2012 has there been a sustained increase in publications. The prediction model indicates that the number of articles and citations on this topic will continue to grow until 2034. Sports sciences emerges as the category with the most published articles. Overall, Australia, Spain, and Switzerland are the countries that contribute most to the state of the art in race analysis in swimming until the end of 2023. There are five main clusters of researchers contributing significantly to this topic, with the Swiss, Spanish, and Portuguese groups being the most active in recent years.
Author contributions
JM: Conceptualization, Methodology, Writing – original draft, Writing – review & editing. TB: Conceptualization, Writing – review & editing. RA: Writing – review & editing. AS: Writing – review & editing. TS: Methodology, Writing – original draft, Writing – review & editing. JO: Methodology, Writing – review & editing. DM: Conceptualization, Writing – review & editing.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article.
This work was supported by national funds (FCT–Portuguese Foundation for Science and Technology) under the project UIDB/DTP/04045/2020.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Keywords: swimming, trends, bibliometric data, race analysis, performance
Citation: Morais JE, Barbosa TM, Arellano R, Silva AJ, Sampaio T, Oliveira JP and Marinho DA (2024) Race analysis in swimming: understanding the evolution of publications, citations and networks through a bibliometric review. Front. Sports Act. Living 6:1413182. doi: 10.3389/fspor.2024.1413182
Received: 6 April 2024; Accepted: 29 May 2024;
Published: 13 June 2024.
Edited by:
Sabrina Skorski, Saarland University, GermanyReviewed by:
Roberto Baldassarre, Italian Olympic Committee, ItalyMário Cunha Espada, Instituto Politecnico de Setubal (IPS), Portugal
© 2024 Morais, Barbosa, Arellano, Silva, Sampaio, Oliveira and Marinho. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jorge E. Morais, bW9yYWlzLmpvcmdlc3RyZWxhQGlwYi5wdA==