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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. 10.0% 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%
1.8k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-13%
the tick is no change
Largest producer
United States
34% of the 10 largest, 2022-now
Optimal Experimental Design Methods

Which countries lead Optimal Experimental Design Methods research?

By volume, the United States and China publish the most (459 and 377 works in 2022-now).

By volume, 2022-now

  1. 1 United States 459 works
  2. 2 China 377 works
  3. 3 India 134 works
  4. 4 Germany 96 works
  5. 5 United Kingdom 82 works
  6. 6 Japan 52 works
  7. 7 France 44 works
  8. 8 Canada 43 works
  9. 9 Brazil 38 works
  10. 10 Italy 38 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: 33.7%China: 27.7%India: 9.8%Germany: 7.0%6 others listed: 21.7%34%largest
United States459 · 33.7%China377 · 27.7%India134 · 9.8%Germany96 · 7.0%6 others listed296 · 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-now, Indian Council of Agricultural Research publishes the most Optimal Experimental Design Methods research, followed by Northwestern Polytechnical University and University of Wisconsin–Madison.

By volume, 2022-now

  1. 1 Indian Council of Agricultural ResearchIndia 20 works
  2. 2 Northwestern Polytechnical UniversityChina 16 works
  3. 3 University of Wisconsin–MadisonUnited States 12 works
  4. 4 Centre National de la Recherche ScientifiqueFrance 11 works
  5. 5 KU LeuvenBelgium 10 works
  6. 6 The University of Texas MD Anderson Cancer CenterUnited States 10 works
  7. 7 Nankai UniversityChina 10 works
  8. 8 Dalian University of TechnologyChina 10 works
  9. 9 University of North Carolina at Chapel HillUnited States 9 works
  10. 10 University of MichiganUnited States 8 works

Who are the leading researchers in Optimal Experimental Design Methods?

The most-cited researchers publishing on Optimal Experimental Design Methods include Douglas G. Altman, Robert John Tibshirani and Donald B. Rubin.

  1. 1 Douglas G. Altman United Kingdom 862k citations
  2. 2 Robert John Tibshirani United States 396k citations
  3. 3 Donald B. Rubin United States 301k citations
  4. 4 Trevor Hastie United States 301k citations
  5. 5 Stuart Pocock United Kingdom 273k citations
  6. 6 Ben Zhong Tang China 261k citations
  7. 7 Ralph B. D’Agostino United States 255k citations
  8. 8 Gordon K. Smyth Australia 237k citations
  9. 9 Peter M. Bentler United States 233k citations
  10. 10 Graham A. Colditz United States 233k citations

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

What are the most cited papers in Optimal Experimental Design Methods?

The most cited paper in Optimal Experimental Design Methods is "Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing" (Yoav Benjamini, Yosef Hochberg, 1995), with 112,351 citations. Next come "Simultaneous Inference in General Parametric Models" (14,308) and "Experimental and quasi-experimental designs for generalized causal inference" (13,406).

Most cited papers
#PaperReleasedCitations
1 Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing Yoav Benjamini, Yosef Hochberg · Journal of the Royal Statistical Society Series B (Statistical Methodology) 1995 112,351
2 Simultaneous Inference in General Parametric Models Torsten Hothorn, Frank Bretz, Peter H. Westfall · Biometrical Journal Open access 15 May 2008 14,308
3 Experimental and quasi-experimental designs for generalized causal inference William R. Shadish, Thomas D. Cook, Donald T. Campbell 2002 13,406
4 Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments Gordon K. Smyth · Statistical Applications in Genetics and Molecular Biology 12 Jan 2004 12,191
5 Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics Claes Fornell, David F. Larcker · Journal of Marketing Research Aug 1981 9,824
All 97 most cited papers, with filters and sorting

Where is Optimal Experimental Design Methods research done?

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

Largest cities, 2022-now

  1. 1 BeijingChina 48 works
  2. 2 Xi'anChina 35 works
  3. 3 NanjingChina 28 works
  4. 4 ShanghaiChina 27 works
  5. 5 TokyoJapan 25 works
  6. 6 New DelhiIndia 24 works
  7. 7 LondonUnited Kingdom 23 works
  8. 8 WuhanChina 19 works
  9. 9 TianjinChina 18 works
  10. 10 ParisFrance 16 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, University of Wisconsin–Madison 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 15.5857%fractional works in this field (log) →share of work in the world top 10% →Northwestern Polytec…Dalian University of…University of Wiscon…KU Leuven
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Northwestern Polytechnical UniversityChina 80.736.1%8.4×16 -28.4%
2University of Wisconsin–MadisonUnited States 56.016.8%7.8×12 +281.1%
3Dalian University of TechnologyChina 53.825.4%6.3×10 +25.3%
4KU LeuvenBelgium 38.18.8%6.7×10 -18.2%
5University of MichiganUnited States 25.915.9%3.3×8 +32.3%
6Nankai UniversityChina 23.03.5%9.0×10 -12.1%
7University of North Carolina at Chapel HillUnited States 7.62.6%3.1×9 -45.9%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Optimal Experimental Design Methods, country by country

Is Optimal Experimental Design Methods research growing?

Output in 2022-2025 was 13% lower than in 2018-2021, peaking in 2013.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Optimal Experimental Design Methods as a percentage of every work published that year, 0.0073% in 2024.

still counting0.020%0.040%Optimal Experimental Design Methods0.0064% in 202519801990200020102020

Fractional works of Optimal Experimental Design Methods over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Optimal Experimental Design Methods10.4% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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