Muon and positron interactions and applications
Muon and positron interactions and applications is a research topic within Mechanics of Materials. Science Explorer counts 15k research works in it since 1950. 21.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the use of positron annihilation spectroscopy to identify defects in semiconductors, porous materials, and polymers. It includes experimental and theoretical studies on topics such as annihilation lifetime, free volume, nanostructures, and the application of muons in defect characterization.
- Positron Annihilation
- Defect Identification
- Semiconductors
- Porous Materials
- Annihilation Lifetime
- Free Volume
- Nanostructures
- Polymers
- Muons
- Spectroscopy
- Research works
- 15k fractional, since 1950
- In the world top 10%
- 3.4k per year above
- Top-10% rate
- 21.9% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -14% the tick is no change
Which countries lead Muon and positron interactions and applications research?
By volume, China and the United States publish the most (215 and 161 works in 2022–2025).
By volume, 2022–2025
- 1 China 215 works
- 2 United States 161 works
- 3 Japan 114 works
- 4 Russia 66 works
- 5 Germany 61 works
- 6 Italy 61 works
- 7 India 51 works
- 8 United Kingdom 39 works
- 9 France 33 works
- 10 Switzerland 31 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 Muon and positron interactions and applications research?
By volume in 2022–2025, Fermi National Accelerator Laboratory publishes the most Muon and positron interactions and applications research, followed by University of Science and Technology of China and Chinese Academy of Sciences.
By volume, 2022–2025
- 1 Fermi National Accelerator LaboratoryUnited States 18 works
- 2 University of Science and Technology of ChinaChina 13 works
- 3 Chinese Academy of SciencesChina 12 works
- 4 High Energy Accelerator Research OrganizationJapan 10 works
- 5 Paul Scherrer InstituteSwitzerland 10 works
- 6 ETH ZurichSwitzerland 8 works
- 7 European Organization for Nuclear ResearchSwitzerland 8 works
- 8 The University of TokyoJapan 6 works
- 9 Institute of High Energy PhysicsChina 6 works
- 10 University of Chinese Academy of SciencesChina 6 works
Who are the leading researchers in Muon and positron interactions and applications?
The most-cited researchers publishing on Muon and positron interactions and applications include S. Willocq.
- 1 S. Willocq United Kingdom 9.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Muon and positron interactions and applications research done?
The largest centres of Muon and positron interactions and applications research in 2022–2025 are Beijing (China), Moscow (Russia), Tokyo (Japan) and Batavia (United States).
Where is the best place to study Muon and positron interactions and applications?
Among universities, judged by research, University of Science and Technology of China 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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | University of Science and Technology of ChinaChina | 76.0 | 13.5% | 10.0× | 13 | +100.4% |
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 Muon and positron interactions and applications research growing?
Output in 2018–2022 was 14% lower than in 2013–2017, peaking in 2002.
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.