Radiation Detection and Scintillator Technologies
Radiation Detection and Scintillator Technologies is a research topic within Radiation. Science Explorer counts 47k research works in it since 1950. 16.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers advances in scintillation detector technology, including the development of inorganic scintillators, silicon photomultipliers, and their applications in medical imaging, radiation detection, and time-of-flight positron emission tomography (PET). It also discusses topics such as crystal growth, neutron detection alternatives, semiconductor thermal neutron detectors, and gamma spectroscopy.
- Scintillation Detectors
- Inorganic Scintillators
- Silicon Photomultiplier
- Radiation Detection
- Medical Imaging
- Time-of-Flight PET
- Crystal Growth
- Neutron Detection
- Semiconductor Thermal Neutron Detectors
- Gamma Spectroscopy
- Research works
- 47k fractional, since 1950
- In the world top 10%
- 7.9k per year above
- Top-10% rate
- 16.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +1% the tick is no change
Which countries lead Radiation Detection and Scintillator Technologies research?
By volume, China and the United States publish the most (1.6k and 1k works in 2022–2025).
By volume, 2022–2025
- 1 China 1.6k works
- 2 United States 1k works
- 3 Japan 528 works
- 4 Italy 465 works
- 5 India 373 works
- 6 Russia 309 works
- 7 Germany 295 works
- 8 France 259 works
- 9 South Korea 209 works
- 10 United Kingdom 183 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 Radiation Detection and Scintillator Technologies research?
By volume in 2022–2025, Chinese Academy of Sciences publishes the most Radiation Detection and Scintillator Technologies research, followed by European Organization for Nuclear Research and Nara Institute of Science and Technology.
By volume, 2022–2025
- 1 Chinese Academy of SciencesChina 83 works
- 2 European Organization for Nuclear ResearchSwitzerland 69 works
- 3 Nara Institute of Science and TechnologyJapan 65 works
- 4 Tsinghua UniversityChina 57 works
- 5 University of Science and Technology of ChinaChina 49 works
- 6 University of Chinese Academy of SciencesChina 44 works
- 7 Oak Ridge National LaboratoryUnited States 43 works
- 8 Los Alamos National LaboratoryUnited States 43 works
- 9 Tohoku UniversityJapan 40 works
- 10 Institute of High Energy PhysicsChina 37 works
Who are the leading researchers in Radiation Detection and Scintillator Technologies?
The most-cited researchers publishing on Radiation Detection and Scintillator Technologies include M. Costa, M. Weber and X. Wu.
- 1 M. Costa United Kingdom 9.7k citations
- 2 M. Weber France 9.7k citations
- 3 X. Wu Switzerland 9.6k citations
- 4 A. Cerri United States 9.5k citations
- 5 A. Clark Switzerland 9.3k citations
- 6 H. F-W. Sadrozinski United States 9.1k citations
- 7 M. Bóna United Kingdom 8.5k citations
- 8 R. W. L. Jones United Kingdom 8.3k citations
- 9 G. Aielli United States 8.2k citations
- 10 M. Garcia-Sciveres United States 8.2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Radiation Detection and Scintillator Technologies research done?
The largest centres of Radiation Detection and Scintillator Technologies research in 2022–2025 are Beijing (China), Moscow (Russia), Shanghai (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Ikoma, Tōkai Mura and Dubna.
Largest cities, 2022–2025
Where it is the local speciality
- IkomaJP · 64.6 works122×
- Tōkai MuraJP · 35.6 works65×
- DubnaRU · 36.7 works56×
- VilligenCH · 24.0 works42×
- BataviaUS · 24.9 works41×
Location quotient: how much more of its research is in Radiation Detection and Scintillator Technologies than the world average.
Where is the best place to study Radiation Detection and Scintillator Technologies?
Among universities, judged by research, Nara Institute of Science and Technology, Tata Institute of Fundamental Research and Zhejiang Normal 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.
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 | Nara Institute of Science and TechnologyJapan | 71.2 | 30.9% | 122.3× | 65 | — |
| 2 | Tata Institute of Fundamental ResearchIndia | 56.5 | 36.0% | 17.1× | 8 | +28.0% |
| 3 | Zhejiang Normal UniversityChina | 56.4 | 48.8% | 5.8× | 11 | +62.1% |
| 4 | National Research Nuclear University MEPhIRussia | 53.8 | 6.9% | 24.2× | 20 | +275.3% |
| 5 | Shizuoka UniversityJapan | 52.9 | 21.3% | 15.5× | 9 | +134.5% |
| 6 | China Jiliang UniversityChina | 52.5 | 24.5% | 11.8× | 17 | +31.5% |
| 7 | University of Milano-BicoccaItaly | 50.8 | 20.4% | 8.8× | 17 | +45.5% |
| 8 | Homi Bhabha National InstituteIndia | 50.2 | 12.0% | 18.3× | 26 | — |
| 9 | University of Science and Technology of ChinaChina | 49.9 | 15.1% | 6.1× | 49 | +84.7% |
| 10 | University of Chinese Academy of SciencesChina | 47.9 | 26.5% | 4.0× | 44 | +46.8% |
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 Radiation Detection and Scintillator Technologies research growing?
Output in 2018–2022 was 1% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Radiation Detection and Scintillator Technologies.
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.