Reliability and Maintenance Optimization
Reliability and Maintenance Optimization is a research topic within Safety, Risk, Reliability and Quality. Science Explorer counts 24k research works in it since 1950. 23.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on reliability engineering and maintenance optimization, covering topics such as degradation modeling, condition-based maintenance, multi-state systems, prognostic models, accelerated degradation tests, risk-based maintenance, stochastic modeling, and system reliability. The papers explore various methods and strategies for optimizing maintenance policies and improving the reliability of deteriorating systems.
- Reliability Engineering
- Maintenance Optimization
- Degradation Modeling
- Condition-Based Maintenance
- Multi-State Systems
- Prognostic Models
- Accelerated Degradation Tests
- Risk-Based Maintenance
- Stochastic Modeling
- System Reliability
- Research works
- 24k fractional, since 1950
- In the world top 10%
- 5.7k per year above
- Top-10% rate
- 23.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +20% the tick is no change
Which countries lead Reliability and Maintenance Optimization research?
By volume, China and the United States publish the most (1.6k and 371 works in 2022–2025).
By volume, 2022–2025
- 1 China 1.6k works
- 2 United States 371 works
- 3 India 357 works
- 4 France 124 works
- 5 United Kingdom 112 works
- 6 Iran 110 works
- 7 Germany 106 works
- 8 Indonesia 101 works
- 9 Canada 94 works
- 10 South Korea 75 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 Reliability and Maintenance Optimization research?
By volume in 2022–2025, Beihang University publishes the most Reliability and Maintenance Optimization research, followed by Beijing Institute of Technology and Northwestern Polytechnical University.
By volume, 2022–2025
- 1 Beihang University China 106 works
- 2 Beijing Institute of Technology China 42 works
- 3 Northwestern Polytechnical University China 40 works
- 4 Nanjing University of Aeronautics and Astronautics China 37 works
- 5 Shanghai Jiao Tong University China 34 works
- 6 University of Electronic Science and Technology of China China 28 works
- 7 Chongqing University China 25 works
- 8 Xi'an Jiaotong University China 25 works
- 9 Tsinghua University China 24 works
- 10 National University of Defense Technology China 24 works
Who are the leading researchers in Reliability and Maintenance Optimization?
The most-cited researchers publishing on Reliability and Maintenance Optimization include Gilles Deleuze.
- 1 Gilles Deleuze 4.6k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Reliability and Maintenance Optimization research done?
The largest centres of Reliability and Maintenance Optimization research in 2022–2025 are Beijing (China), Xi'an (China), Shanghai (China) and Nanjing (China).
Where is the best place to study Reliability and Maintenance Optimization?
Among universities, judged by research, Beijing Institute of Technology, Toronto Metropolitan University and Beihang 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 | Beijing Institute of Technology China | 72.3 | 41.6% | 8.4× | 42 | +234.7% |
| 2 | Toronto Metropolitan University Canada | 66.2 | 48.5% | 11.0× | 10 | +103.5% |
| 3 | Beihang University China | 66.1 | 26.4% | 22.6× | 106 | +59.0% |
| 4 | University of Massachusetts Dartmouth United States | 60.3 | 44.2% | 46.6× | 9 | +67.4% |
| 5 | Nanjing University of Aeronautics and Astronautics China | 59.6 | 29.3% | 9.7× | 37 | +74.3% |
| 6 | Graphic Era University India | 58.5 | 22.8% | 10.8× | 16 | +200.3% |
| 7 | Northwestern Polytechnical University China | 57.0 | 35.6% | 8.3× | 40 | +10.6% |
| 8 | Xi'an Jiaotong University China | 56.4 | 54.0% | 3.6× | 25 | +93.8% |
| 9 | University of Strathclyde United Kingdom | 54.3 | 26.4% | 12.1× | 14 | +64.1% |
| 10 | Delft University of Technology Netherlands | 54.1 | 47.0% | 4.9× | 14 | +86.4% |
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 Reliability and Maintenance Optimization research growing?
Output in 2018–2022 was 20% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Reliability and Maintenance Optimization.
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.