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Topic · Orthopedics and Sports Medicine

Sports Performance and Training

Sports Performance and Training is a research topic within Orthopedics and Sports Medicine. Science Explorer counts 64k research works in it since 1950. 14.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers a wide range of topics in sports science, including training load monitoring, performance analysis, resistance training, physiological demands of soccer, muscle adaptations, high-intensity interval training, neuromuscular fatigue, metabolic responses, and athlete monitoring.

  • Training Load
  • Performance Analysis
  • Resistance Training
  • Physiological Demands
  • Soccer Performance
  • Muscle Adaptations
  • High-Intensity Interval Training
  • Neuromuscular Fatigue
  • Metabolic Responses
  • Athlete Monitoring
Research works
64k
fractional, since 1950
In the world top 10%
9.3k
per year above
Top-10% rate
14.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+39%
the tick is no change

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead Sports Performance and Training research?

By volume, the United States and China publish the most (1.7k and 1k works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 1.7k works
  2. 2 China 1k works
  3. 3 Spain 921 works
  4. 4 Brazil 826 works
  5. 5 Türkiye 772 works
  6. 6 United Kingdom 719 works
  7. 7 India 508 works
  8. 8 Australia 485 works
  9. 9 Japan 482 works
  10. 10 Indonesia 467 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

United States: 21.8%China: 12.9%Spain: 11.6%Brazil: 10.4%6 others listed: 43.3%22%largest
United States1,732 · 21.8%China1,025 · 12.9%Spain921 · 11.6%Brazil826 · 10.4%6 others listed3,434 · 43.3%

Shares of the rows listed above, not of the whole node.

Which institutions lead Sports Performance and Training research?

By volume in 2022–2025, German Sport University Cologne publishes the most Sports Performance and Training research, followed by Beijing Sport University and Yogyakarta State University.

By volume, 2022–2025

  1. 1 German Sport University CologneGermany 76 works
  2. 2 Beijing Sport UniversityChina 73 works
  3. 3 Yogyakarta State UniversityIndonesia 68 works
  4. 4 Universidad de ExtremaduraSpain 60 works
  5. 5 Universidad de GranadaSpain 51 works
  6. 6 Universidade de São PauloBrazil 48 works
  7. 7 Universidad de MurciaSpain 44 works
  8. 8 University of BaghdadIraq 43 works
  9. 9 Shanghai University of SportChina 42 works
  10. 10 Universidade do PortoPortugal 41 works

Who are the leading researchers in Sports Performance and Training?

The most-cited researchers publishing on Sports Performance and Training include Diego Augusto Santos Silva.

  1. 1 Diego Augusto Santos Silva Brazil 3.5k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Sports Performance and Training research done?

The largest centres of Sports Performance and Training research in 2022–2025 are Beijing (China), Tokyo (Japan), Madrid (Spain) and São Paulo (Brazil).

Largest cities, 2022–2025

  1. 1 Beijing China 189 works
  2. 2 Tokyo Japan 185 works
  3. 3 Madrid Spain 146 works
  4. 4 São Paulo Brazil 139 works
  5. 5 Istanbul Türkiye 110 works
  6. 6 London United Kingdom 105 works
  7. 7 Melbourne Australia 104 works
  8. 8 Ankara Türkiye 101 works
  9. 9 Shanghai China 82 works
  10. 10 Cologne Germany 81 works
See Sports Performance and Training on the map

Where is the best place to study Sports Performance and Training?

Among universities, judged by research, University of Suffolk, Leeds Beckett University and University of Jendouba score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%60%mean 32.13%fractional works in this node (log) →share in the world top 10% →University of Suffolk: 11, 54.1%Leeds Beckett University: 26, 33.0%University of Jendouba: 11, 40.0%Middlesex University: 17, 38.1%Universidad Europea de Madrid: 29, 29.0%Universidad de Extremadura: 60, 23.7%Nord University: 22, 23.8%Edith Cowan University: 35, 31.1%German Sport University Cologne: 76, 22.6%Akademii Wychowania Fizycznego im. Jerzego Kukuczki w Katowicach: 25, 25.9%University of SuffolkUniversity of JendoubaMiddlesex UniversityLeeds Beckett Univer…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 University of SuffolkUnited Kingdom 77.954.1%41.5×11 +328.0%
2 Leeds Beckett UniversityUnited Kingdom 73.133.0%26.0×26 +212.3%
3 University of JendoubaTunisia 71.440.0%30.1×11 +302.6%
4 Middlesex UniversityUnited Kingdom 69.238.1%24.5×17 +135.6%
5 Universidad Europea de MadridSpain 69.029.0%39.0×29 +123.0%
6 Universidad de ExtremaduraSpain 68.723.7%22.9×60 +107.6%
7 Nord UniversityNorway 67.923.8%26.8×22 +188.8%
8 Edith Cowan UniversityAustralia 67.831.1%19.6×35 +48.7%
9 German Sport University CologneGermany 67.522.6%100.6×76 +61.6%
10 Akademii Wychowania Fizycznego im. Jerzego Kukuczki w KatowicachPoland 67.425.9%125.0×25 +173.8%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Sports Performance and Training research growing?

Output in 2018–2022 was 39% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Sports Performance and Training.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.