Probabilistic and Robust Engineering Design
Probabilistic and Robust Engineering Design is a research topic within Statistics, Probability and Uncertainty. Science Explorer counts 47k research works in it since 1950. 22.6% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on uncertainty quantification and sensitivity analysis in complex mathematical and computational models. It explores methods such as polynomial chaos, Monte Carlo simulation, and sparse grids to assess and manage uncertainties in various engineering and scientific applications. The research also delves into topics like global sensitivity indices, reliability analysis, stochastic differential equations, and probabilistic design optimization.
- Uncertainty Quantification
- Sensitivity Analysis
- Polynomial Chaos
- Monte Carlo Simulation
- Reliability Analysis
- Stochastic Differential Equations
- Global Sensitivity Indices
- Sparse Grids
- Latin Hypercube Sampling
- Probabilistic Design Optimization
- Research works
- 47k fractional, since 1950
- In the world top 10%
- 11k per year above
- Top-10% rate
- 22.6% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +16% the tick is no change
Which countries lead Probabilistic and Robust Engineering Design research?
By volume, China and the United States publish the most (2.1k and 1.3k works in 2022–2025).
By volume, 2022–2025
- 1 China 2.1k works
- 2 United States 1.3k works
- 3 Germany 439 works
- 4 India 391 works
- 5 France 309 works
- 6 United Kingdom 291 works
- 7 Italy 248 works
- 8 Iran 175 works
- 9 Japan 155 works
- 10 Saudi Arabia 154 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 Probabilistic and Robust Engineering Design research?
By volume in 2022–2025, Northwestern Polytechnical University publishes the most Probabilistic and Robust Engineering Design research, followed by Beihang University and Dalian University of Technology.
By volume, 2022–2025
- 1 Northwestern Polytechnical University China 132 works
- 2 Beihang University China 82 works
- 3 Dalian University of Technology China 55 works
- 4 Tongji University China 54 works
- 5 Nanjing University of Aeronautics and Astronautics China 41 works
- 6 Xi'an Jiaotong University China 40 works
- 7 Technical University of Munich Germany 38 works
- 8 Georgia Institute of Technology United States 38 works
- 9 Zhejiang University China 34 works
- 10 Shanghai Jiao Tong University China 33 works
Who are the leading researchers in Probabilistic and Robust Engineering Design?
The most-cited researchers publishing on Probabilistic and Robust Engineering Design include Kalyanmoy Deb and George Em Karniadakis.
- 1 Kalyanmoy Deb 6.7k citations
- 2 George Em Karniadakis 6.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Probabilistic and Robust Engineering Design research done?
The largest centres of Probabilistic and Robust Engineering Design research in 2022–2025 are Beijing (China), Xi'an (China), Shanghai (China) and Nanjing (China).
Where is the best place to study Probabilistic and Robust Engineering Design?
Among universities, judged by research, Leibniz University Hannover, Northwestern Polytechnical 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 | Leibniz University Hannover Germany | 72.4 | 36.2% | 13.0× | 27 | +215.8% |
| 2 | Northwestern Polytechnical University China | 71.7 | 35.2% | 15.8× | 132 | +32.9% |
| 3 | Beihang University China | 68.5 | 34.6% | 10.2× | 82 | +45.8% |
| 4 | Hebei University of Technology China | 66.5 | 52.1% | 6.1× | 18 | +320.4% |
| 5 | Imam Mohammad ibn Saud Islamic University Saudi Arabia | 63.4 | 47.1% | 8.1× | 11 | — |
| 6 | Hunan University China | 62.2 | 42.9% | 6.0× | 31 | +139.7% |
| 7 | TU Dortmund University Germany | 62.2 | 44.4% | 9.3× | 18 | +46.5% |
| 8 | Princess Nourah bint Abdulrahman University Saudi Arabia | 61.3 | 29.4% | 9.2× | 17 | — |
| 9 | Tongji University China | 60.4 | 44.9% | 5.8× | 54 | +34.0% |
| 10 | Dalian University of Technology China | 59.7 | 33.4% | 7.9× | 55 | +48.9% |
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 Probabilistic and Robust Engineering Design research growing?
Output in 2018–2022 was 16% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Probabilistic and Robust Engineering Design.
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.