High-Energy Particle Collisions Research
High-Energy Particle Collisions Research is a research topic within Nuclear and High Energy Physics. Science Explorer counts 56k research works in it since 1950. 42.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the experimental and theoretical challenges in the search for the quark-gluon plasma (QGP) in heavy-ion collisions, particularly at RHIC. It covers topics such as chiral magnetic effect, color glass condensate, hydrodynamics, lattice QCD, viscous fluid dynamics, anomalous transport, and the phase diagram of dense QCD matter.
- Quark-Gluon Plasma
- Heavy-Ion Collisions
- RHIC Experiments
- Chiral Magnetic Effect
- Color Glass Condensate
- Hydrodynamics
- Lattice QCD
- Viscous Fluid Dynamics
- Anomalous Transport
- Phase Diagram
- Research works
- 56k fractional, since 1950
- In the world top 10%
- 24k per year above
- Top-10% rate
- 42.0% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -13% the tick is no change
Which countries lead High-Energy Particle Collisions Research research?
By volume, China and the United States publish the most (902 and 858 works in 2022–2025).
By volume, 2022–2025
- 1 China 902 works
- 2 United States 858 works
- 3 Germany 539 works
- 4 India 425 works
- 5 Russia 347 works
- 6 Italy 282 works
- 7 France 274 works
- 8 Japan 186 works
- 9 Spain 155 works
- 10 United Kingdom 153 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-Energy Particle Collisions Research research?
By volume in 2022–2025, Joint Institute for Nuclear Research publishes the most High-Energy Particle Collisions Research research, followed by European Organization for Nuclear Research and GSI Helmholtz Centre for Heavy Ion Research.
By volume, 2022–2025
- 1 Joint Institute for Nuclear ResearchRussia 81 works
- 2 European Organization for Nuclear ResearchSwitzerland 71 works
- 3 GSI Helmholtz Centre for Heavy Ion ResearchGermany 61 works
- 4 Brookhaven National LaboratoryUnited States 56 works
- 5 University of Chinese Academy of SciencesChina 55 works
- 6 Deutsches Elektronen-Synchrotron DESYGermany 50 works
- 7 Institute of Modern PhysicsChina 50 works
- 8 Central China Normal UniversityChina 50 works
- 9 Chinese Academy of SciencesChina 45 works
- 10 Goethe University FrankfurtGermany 43 works
Who are the leading researchers in High-Energy Particle Collisions Research?
The most-cited researchers publishing on High-Energy Particle Collisions Research include Xiaogang Wang, R. Kowalewski and S. L. Wu.
- 1 Xiaogang Wang Russia 13k citations
- 2 R. Kowalewski United Kingdom 11k citations
- 3 S. L. Wu United Kingdom 10k citations
- 4 Sw. Banerjee United Kingdom 10k citations
- 5 P. Jackson United Kingdom 10k citations
- 6 M. Costa United Kingdom 9.7k citations
- 7 M. Weber France 9.7k citations
- 8 X. Wu Switzerland 9.6k citations
- 9 M. Morii United Kingdom 9.6k citations
- 10 A. Cerri United States 9.5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is High-Energy Particle Collisions Research research done?
The largest centres of High-Energy Particle Collisions Research research in 2022–2025 are Beijing (China), Moscow (Russia), Dubna (Russia) and Paris (France). Among places with at least 20 works in it, it is an unusually large share of all research in Berlin, Dubna and Upton.
Largest cities, 2022–2025
Where it is the local speciality
- BerlinUS · 21.0 works636×
- DubnaRU · 87.8 works171×
- UptonUS · 65.7 works127×
- Newport NewsUS · 27.5 works102×
- BataviaUS · 25.4 works53×
Location quotient: how much more of its research is in High-Energy Particle Collisions Research than the world average.
Where is the best place to study High-Energy Particle Collisions Research?
Among universities, judged by research, Sardar Vallabhbhai National Institute of Technology Surat, University of Chinese Academy of Sciences and Université Paris-Saclay 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 | Sardar Vallabhbhai National Institute of Technology SuratIndia | 73.0 | 73.2% | 13.6× | 12 | +186.2% |
| 2 | University of Chinese Academy of SciencesChina | 70.8 | 61.3% | 6.4× | 55 | +170.7% |
| 3 | Université Paris-SaclayFrance | 70.3 | 52.1% | 9.1× | 18 | +651.7% |
| 4 | University of SiegenGermany | 67.4 | 71.4% | 15.5× | 11 | +102.7% |
| 5 | Central China Normal UniversityChina | 67.1 | 51.0% | 37.4× | 50 | +33.3% |
| 6 | Indian Institute of Technology IndoreIndia | 67.1 | 42.6% | 25.7× | 23 | +358.8% |
| 7 | Dr. B. R. Ambedkar National Institute of Technology JalandharIndia | 66.2 | 53.6% | 26.7× | 19 | +156.5% |
| 8 | Stony Brook UniversityUnited States | 66.0 | 56.0% | 24.6× | 37 | +6.2% |
| 9 | University of ZurichSwitzerland | 65.5 | 64.7% | 8.7× | 24 | +13.6% |
| 10 | Homi Bhabha National InstituteIndia | 65.2 | 39.3% | 21.6× | 24 | +405.0% |
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-Energy Particle Collisions Research research growing?
Output in 2018–2022 was 13% lower than in 2013–2017, peaking in 2016. The fastest-growing topics are High-Energy Particle Collisions Research.
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.