Particle Detector Development and Performance
Particle Detector Development and Performance is a research topic within Nuclear and High Energy Physics. Science Explorer counts 30k research works in it since 1950. 21.6% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers advancements in particle detector technology, including silicon detectors, photon counting, radiation hardness, time projection chambers, gaseous detectors, cosmic-ray muon imaging, X-ray imaging, and the performance of various types of detectors. The papers also discuss the application of CMOS technology in detector design and development.
- Particle Detectors
- Silicon Detectors
- Photon Counting
- Radiation Hardness
- Time Projection Chambers
- Gaseous Detectors
- Cosmic-Ray Muon Imaging
- X-ray Imaging
- Detector Performance
- CMOS Technology
- Research works
- 30k fractional, since 1950
- In the world top 10%
- 6.4k per year above
- Top-10% rate
- 21.6% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -4% the tick is no change
Which countries lead Particle Detector Development and Performance research?
By volume, the United States and Italy publish the most (784 and 536 works in 2022–2025).
By volume, 2022–2025
- 1 United States 784 works
- 2 Italy 536 works
- 3 China 505 works
- 4 Germany 336 works
- 5 France 249 works
- 6 Switzerland 239 works
- 7 Russia 184 works
- 8 Japan 181 works
- 9 India 164 works
- 10 United Kingdom 162 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 Particle Detector Development and Performance research?
By volume in 2022–2025, European Organization for Nuclear Research publishes the most Particle Detector Development and Performance research, followed by Fermi National Accelerator Laboratory and Deutsches Elektronen-Synchrotron DESY.
By volume, 2022–2025
- 1 European Organization for Nuclear ResearchSwitzerland 154 works
- 2 Fermi National Accelerator LaboratoryUnited States 93 works
- 3 Deutsches Elektronen-Synchrotron DESYGermany 59 works
- 4 Chinese Academy of SciencesChina 52 works
- 5 University of Science and Technology of ChinaChina 48 works
- 6 Institute of High Energy PhysicsChina 45 works
- 7 Joint Institute for Nuclear ResearchRussia 44 works
- 8 University of Chinese Academy of SciencesChina 37 works
- 9 Brookhaven National LaboratoryUnited States 30 works
- 10 Centre National de la Recherche ScientifiqueFrance 27 works
Who are the leading researchers in Particle Detector Development and Performance?
The most-cited researchers publishing on Particle Detector Development and Performance 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 Particle Detector Development and Performance research done?
The largest centres of Particle Detector Development and Performance research in 2022–2025 are Beijing (China), Geneva (Switzerland), Batavia (United States) and Rome (Italy). Among places with at least 20 works in it, it is an unusually large share of all research in Batavia, Dubna and Newport News.
Largest cities, 2022–2025
Where it is the local speciality
- BataviaUS · 93.1 works250×
- DubnaRU · 49.1 works123×
- Newport NewsUS · 20.1 works96×
- TsukubaJP · 23.1 works92×
- UptonUS · 30.8 works76×
- GenevaCH · 169.2 works49×
Location quotient: how much more of its research is in Particle Detector Development and Performance than the world average.
Where is the best place to study Particle Detector Development and Performance?
Among universities, judged by research, Université Paris-Saclay, Karlsruhe Institute of Technology and University of Geneva 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 | Université Paris-SaclayFrance | 64.3 | 27.1% | 9.5× | 15 | +648.2% |
| 2 | Karlsruhe Institute of TechnologyGermany | 60.9 | 32.0% | 9.8× | 21 | +62.0% |
| 3 | University of GenevaSwitzerland | 57.2 | 24.3% | 11.2× | 15 | +98.8% |
| 4 | Tata Institute of Fundamental ResearchIndia | 56.2 | 26.8% | 62.8× | 18 | +54.5% |
| 5 | University of Science and Technology of ChinaChina | 56.1 | 17.7% | 9.9× | 48 | +103.7% |
| 6 | California Institute of TechnologyUnited States | 55.8 | 33.1% | 10.0× | 10 | +37.2% |
| 7 | Central China Normal UniversityChina | 54.2 | 25.6% | 8.8× | 9 | +441.7% |
| 8 | Massachusetts Institute of TechnologyUnited States | 51.1 | 42.5% | 5.6× | 14 | -4.6% |
| 9 | Homi Bhabha National InstituteIndia | 50.1 | 23.0% | 20.1× | 17 | — |
| 10 | University of Chinese Academy of SciencesChina | 49.4 | 22.6% | 5.5× | 37 | +158.0% |
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 Particle Detector Development and Performance research growing?
Output in 2018–2022 was 4% lower than in 2013–2017, peaking in 2016. The fastest-growing topics are Particle Detector Development and Performance.
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.