High-Velocity Impact and Material Behavior
High-Velocity Impact and Material Behavior is a research topic within Materials Chemistry. Science Explorer counts 35k 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 dynamic material behavior of various metals and alloys under extreme loading conditions, including high strain rates, ballistic impact, adiabatic shear localization, and projectile penetration. The research involves experimental techniques such as Split Hopkinson Pressure Bar testing and numerical modeling to understand the constitutive behavior, microstructural evolution, and thermomechanical response of materials subjected to dynamic deformation.
- Dynamic Deformation
- High Strain Rate
- Ballistic Impact
- Adiabatic Shear Localization
- Split Hopkinson Pressure Bar
- Constitutive Modeling
- Projectile Penetration
- Fragmentation
- Microstructural Evolution
- Thermomechanical Response
- Research works
- 35k fractional, since 1950
- In the world top 10%
- 5k per year above
- Top-10% rate
- 14.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +17% the tick is no change
Which countries lead High-Velocity Impact and Material Behavior research?
By volume, China and the United States publish the most (2.8k and 532 works in 2022–2025).
By volume, 2022–2025
- 1 China 2.8k works
- 2 United States 532 works
- 3 India 410 works
- 4 Russia 279 works
- 5 Japan 154 works
- 6 France 142 works
- 7 Germany 138 works
- 8 United Kingdom 136 works
- 9 Türkiye 98 works
- 10 South Korea 96 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead High-Velocity Impact and Material Behavior research?
By volume in 2022–2025, Nanjing University of Science and Technology publishes the most High-Velocity Impact and Material Behavior research, followed by Beijing Institute of Technology and Northwestern Polytechnical University.
By volume, 2022–2025
- 1 Nanjing University of Science and TechnologyChina 169 works
- 2 Beijing Institute of TechnologyChina 168 works
- 3 Northwestern Polytechnical UniversityChina 76 works
- 4 Harbin Institute of TechnologyChina 59 works
- 5 China University of Mining and TechnologyChina 54 works
- 6 Tongji UniversityChina 47 works
- 7 Central South UniversityChina 46 works
- 8 Nanjing University of Aeronautics and AstronauticsChina 42 works
- 9 North University of ChinaChina 40 works
- 10 PLA Army Engineering UniversityChina 37 works
Who are the leading researchers in High-Velocity Impact and Material Behavior?
The most-cited researchers publishing on High-Velocity Impact and Material Behavior include Dierk Raabe, Ted Belytschko and Marc A. Meyers.
- 1 Dierk Raabe Germany 4.5k citations
- 2 Ted Belytschko United States 4.1k citations
- 3 Marc A. Meyers United States 3.2k citations
- 4 John W. Hutchinson United States 3.2k citations
- 5 A.G. Evans United States 3.2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is High-Velocity Impact and Material Behavior research done?
The largest centres of High-Velocity Impact and Material Behavior research in 2022–2025 are Beijing (China), Nanjing (China), Xi'an (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Tomsk, Los Alamos and Mianyang.
Largest cities, 2022–2025
Where it is the local speciality
- TomskRU · 22.4 works85×
- Los AlamosUS · 34.1 works22×
- MianyangCN · 54.3 works17×
- LivermoreUS · 21.2 works14×
Location quotient: how much more of its research is in High-Velocity Impact and Material Behavior than the world average.
Where is the best place to study High-Velocity Impact and Material Behavior?
Among universities, judged by research, Xi'an University of Architecture and Technology, China University of Mining and Technology and Indian Institute of Information Technology Design and Manufacturing Jabalpur 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Xi'an University of Architecture and TechnologyChina | 66.0 | 29.1% | 10.6× | 18 | +193.8% |
| 2 | China University of Mining and TechnologyChina | 62.3 | 28.3% | 12.1× | 54 | +16.8% |
| 3 | Indian Institute of Information Technology Design and Manufacturing JabalpurIndia | 62.3 | 43.9% | 28.1× | 8 | — |
| 4 | Indian Institute of Technology DelhiIndia | 61.7 | 18.6% | 10.0× | 29 | +178.6% |
| 5 | Beijing Institute of TechnologyChina | 60.3 | 15.0% | 25.1× | 168 | +5.6% |
| 6 | PLA Army Engineering UniversityChina | 58.5 | 22.1% | 56.5× | 37 | +85.9% |
| 7 | Northwestern Polytechnical UniversityChina | 58.1 | 20.5% | 11.7× | 76 | -10.5% |
| 8 | Nanjing University of Science and TechnologyChina | 56.4 | 12.4% | 36.4× | 169 | -24.4% |
| 9 | Naval University of EngineeringChina | 53.1 | 34.7% | 15.4× | 13 | -33.3% |
| 10 | Nanjing University of Aeronautics and AstronauticsChina | 50.2 | 16.2% | 8.4× | 42 | +51.8% |
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 High-Velocity Impact and Material Behavior research growing?
Output in 2018–2022 was 17% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are High-Velocity Impact and Material Behavior.
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.