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Railway Engineering and Dynamics

Railway Engineering and Dynamics is a research topic within Mechanical Engineering. Science Explorer counts 25k research works in it since 1950. 14.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the dynamics of railway track and vehicles, including topics such as ground vibration, wheel-rail contact, high-speed trains, ballast behavior, dynamic interaction, track maintenance, vibration prediction, bridge dynamics, and rolling contact fatigue.

  • Railway Dynamics
  • Ground Vibration
  • Wheel-Rail Contact
  • High-Speed Trains
  • Ballast Behavior
  • Dynamic Interaction
  • Track Maintenance
  • Vibration Prediction
  • Bridge Dynamics
  • Rolling Contact Fatigue
Research works
25k
fractional, since 1950
In the world top 10%
3.6k
per year above
Top-10% rate
14.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+33%
the tick is no change

Which countries lead Railway Engineering and Dynamics research?

By volume, China and the United States publish the most (2.8k and 261 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.8k works
  2. 2 United States 261 works
  3. 3 India 248 works
  4. 4 United Kingdom 186 works
  5. 5 Japan 176 works
  6. 6 Italy 146 works
  7. 7 Russia 130 works
  8. 8 Germany 117 works
  9. 9 Iran 91 works
  10. 10 France 91 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.

China: 66.0%United States: 6.1%India: 5.8%United Kingdom: 4.4%6 others listed: 17.7%66%largest
China2,811 · 66.0%United States261 · 6.1%India248 · 5.8%United Kingdom186 · 4.4%6 others listed752 · 17.7%

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

Which institutions lead Railway Engineering and Dynamics research?

By volume in 2022–2025, Southwest Jiaotong University publishes the most Railway Engineering and Dynamics research, followed by Beijing Jiaotong University and Central South University.

By volume, 2022–2025

  1. 1 Southwest Jiaotong University China 418 works
  2. 2 Beijing Jiaotong University China 231 works
  3. 3 Central South University China 145 works
  4. 4 Tongji University China 138 works
  5. 5 China Academy of Railway Sciences China 92 works
  6. 6 Lanzhou Jiaotong University China 68 works
  7. 7 China Railway Group (China) China 47 works
  8. 8 Southeast University China 46 works
  9. 9 Railway Technical Research Institute Japan 43 works
  10. 10 East China Jiaotong University China 42 works

Who are the leading researchers in Railway Engineering and Dynamics?

The most-cited researchers publishing on Railway Engineering and Dynamics include R. Hill and C. Guedes Soares.

  1. 1 R. Hill 3.9k citations
  2. 2 C. Guedes Soares 2.7k citations

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

Where is Railway Engineering and Dynamics research done?

The largest centres of Railway Engineering and Dynamics research in 2022–2025 are Beijing (China), Chengdu (China), Shanghai (China) and Changsha (China). Among places with at least 20 works in it, it is an unusually large share of all research in Kokubunji and Žilina.

Largest cities, 2022–2025

  1. 1 Beijing China 655 works
  2. 2 Chengdu China 456 works
  3. 3 Shanghai China 234 works
  4. 4 Changsha China 196 works
  5. 5 Nanjing China 101 works
  6. 6 Xi'an China 86 works
  7. 7 Chongqing China 84 works
  8. 8 Wuhan China 82 works
  9. 9 Lanzhou China 80 works
  10. 10 Tokyo Japan 60 works

Where it is the local speciality

  1. KokubunjiJP · 42.6 works370×
  2. ŽilinaSK · 22.3 works34×
← less than its size predictsmore →

Location quotient: how much more of its research is in Railway Engineering and Dynamics than the world average.

See Railway Engineering and Dynamics on the map

Where is the best place to study Railway Engineering and Dynamics?

Among universities, judged by research, Delft University of Technology, Southwest Jiaotong University and Central South University 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%mean 17.38%fractional works in this node (log) →share in the world top 10% →Delft University of Technology: 36, 24.5%Southwest Jiaotong University: 418, 17.1%Central South University: 145, 23.6%Beijing Jiaotong University: 231, 16.6%University of Birmingham: 23, 18.5%ETH Zurich: 14, 28.6%University of Technology Sydney: 21, 13.5%Tongji University: 138, 11.9%Central Queensland University: 15, 16.5%University of Žilina: 22, 3.0%Delft University of …Central South Univer…Southwest Jiaotong U…Beijing Jiaotong Uni…
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
1Delft University of Technology Netherlands 65.324.5%9.8×36 +99.4%
2Southwest Jiaotong University China 61.417.1%97.1×418 -17.5%
3Central South University China 61.323.6%15.9×145 -17.8%
4Beijing Jiaotong University China 59.016.6%67.4×231 +0.1%
5University of Birmingham United Kingdom 58.018.5%7.4×23 +214.2%
6ETH Zurich Switzerland 55.128.6%3.8×14 +335.1%
7University of Technology Sydney Australia 54.513.5%8.5×21 +135.7%
8Tongji University China 53.511.9%19.3×138 -3.6%
9Central Queensland University Australia 51.416.5%26.6×15 +53.6%
10University of Žilina Slovakia 50.73.0%34.4×22 +240.2%

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 Railway Engineering and Dynamics research growing?

Output in 2018–2022 was 33% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Railway Engineering and Dynamics.

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.