Science Explorer Interactive view Map
Topic · Management Science and Operations Research

Optimal Experimental Design Methods

Optimal Experimental Design Methods is a research topic within Management Science and Operations Research. Science Explorer counts 18k research works in it since 1950. 16.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the theory and application of experimental design and optimization methods, including Response Surface Methodology, Taguchi Method, multi-response optimization, Bayesian design, factorial designs, robust parameter design, and spatial analysis. The papers cover a wide range of applications in various fields such as engineering, manufacturing, biotechnology, and agriculture.

  • Experimental Design
  • Optimization
  • Response Surface Methodology
  • Taguchi Method
  • Multi-response Optimization
  • Bayesian Design
  • Factorial Designs
  • Robust Parameter Design
  • Spatial Analysis
  • Uniform Design
Research works
18k
fractional, since 1950
In the world top 10%
2.9k
per year above
Top-10% rate
16.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-2%
the tick is no change

Which countries lead Optimal Experimental Design Methods research?

By volume, the United States and China publish the most (431 and 343 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 431 works
  2. 2 China 343 works
  3. 3 India 120 works
  4. 4 Germany 89 works
  5. 5 United Kingdom 76 works
  6. 6 Japan 48 works
  7. 7 France 40 works
  8. 8 Canada 40 works
  9. 9 Brazil 35 works
  10. 10 Italy 35 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.

United States: 34.3%China: 27.3%India: 9.5%Germany: 7.1%6 others listed: 21.7%34%largest
United States431 · 34.3%China343 · 27.3%India120 · 9.5%Germany89 · 7.1%6 others listed273 · 21.7%

Shares of the rows listed above, not of the whole node.

Which institutions lead Optimal Experimental Design Methods research?

By volume in 2022–2025, Northwestern Polytechnical University publishes the most Optimal Experimental Design Methods research, followed by University of Wisconsin–Madison and Indian Agricultural Statistics Research Institute.

By volume, 2022–2025

  1. 1 Northwestern Polytechnical UniversityChina 16 works
  2. 2 University of Wisconsin–MadisonUnited States 11 works
  3. 3 Indian Agricultural Statistics Research InstituteIndia 10 works
  4. 4 KU LeuvenBelgium 10 works
  5. 5 The University of Texas MD Anderson Cancer CenterUnited States 9 works
  6. 6 Dalian University of TechnologyChina 9 works
  7. 7 Nankai UniversityChina 9 works
  8. 8 University of North Carolina at Chapel HillUnited States 8 works
  9. 9 Islamia University of BahawalpurPakistan 8 works
  10. 10 Nanjing University of Science and TechnologyChina 7 works

Who are the leading researchers in Optimal Experimental Design Methods?

The most-cited researchers publishing on Optimal Experimental Design Methods include George E. P. Box, Kalyanmoy Deb and Donald B. Rubin.

  1. 1 George E. P. Box United States 10k citations
  2. 2 Kalyanmoy Deb United States 6.7k citations
  3. 3 Donald B. Rubin United States 4.7k citations
  4. 4 Eric R. Ziegel United States 3.7k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Optimal Experimental Design Methods research done?

The largest centres of Optimal Experimental Design Methods research in 2022–2025 are Beijing (China), Xi'an (China), Nanjing (China) and Shanghai (China).

Largest cities, 2022–2025

  1. 1 Beijing China 46 works
  2. 2 Xi'an China 34 works
  3. 3 Nanjing China 27 works
  4. 4 Shanghai China 25 works
  5. 5 Tokyo Japan 23 works
  6. 6 New Delhi India 23 works
  7. 7 London United Kingdom 22 works
  8. 8 Wuhan China 17 works
  9. 9 Tianjin China 16 works
  10. 10 Paris France 15 works
See Optimal Experimental Design Methods on the map

Where is the best place to study Optimal Experimental Design Methods?

Among universities, judged by research, Northwestern Polytechnical University, KU Leuven and Dalian University of Technology 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.

0%20%40%mean 19.3333%fractional works in this node (log) →share in the world top 10% →Northwestern Polytechnical University: 16, 43.9%KU Leuven: 10, 19.7%Dalian University of Technology: 9, 30.2%University of Wisconsin–Madison: 11, 12.4%Nankai University: 8, 6.2%University of North Carolina at Chapel Hill: 8, 3.6%Northwestern Polytec…Dalian University of…KU LeuvenUniversity of Wiscon…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Northwestern Polytechnical UniversityChina 83.443.9%8.1×16 +122.6%
2 KU LeuvenBelgium 47.719.7%6.8×10 +23.6%
3 Dalian University of TechnologyChina 47.530.2%5.6×9 +137.5%
4 University of Wisconsin–MadisonUnited States 34.412.4%7.2×11 -40.8%
5 Nankai UniversityChina 24.86.2%7.6×8 -11.8%
6 University of North Carolina at Chapel HillUnited States 10.03.6%3.0×8 +52.3%

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 Optimal Experimental Design Methods research growing?

Output in 2018–2022 was 2% lower than in 2013–2017, peaking in 2013. The fastest-growing topics are Optimal Experimental Design Methods.

19801990200020102020
grewheldshrank

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.