Science Explorer Back to mapMap

Efficiency Analysis Using DEA

Efficiency Analysis Using DEA is a research topic within Management Science and Operations Research. Science Explorer counts 19k research works in it since 1956. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the analysis of efficiency, productivity growth, and resource allocation in various sectors such as production processes, energy, banking, healthcare, and education. The papers employ methods like Data Envelopment Analysis (DEA) and non-parametric frontier models to measure technical, environmental, and energy efficiency, as well as to evaluate the performance of different organizations and industries.

  • Data Envelopment Analysis
  • Efficiency Measurement
  • Productivity Growth
  • Environmental Efficiency
  • DEA Models
  • Technical Efficiency
  • Energy Efficiency
  • Banking Efficiency
  • Non-parametric Frontier Models
  • DEA Applications
Research works
19k
fractional, since 1956
In the world top 10%
1.9k
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-7%
the tick is no change
Largest producer
China
42% of the 10 largest, 2022-now

Which countries lead Efficiency Analysis Using DEA research?

By volume, China and Türkiye publish the most (1.1k and 317 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.1k works
  2. 2 Türkiye 317 works
  3. 3 India 282 works
  4. 4 United States 217 works
  5. 5 Iran 203 works
  6. 6 Brazil 122 works
  7. 7 Indonesia 116 works
  8. 8 Spain 98 works
  9. 9 Taiwan 94 works
  10. 10 United Kingdom 87 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.

China: 41.7%Türkiye: 12.0%India: 10.7%United States: 8.2%6 others listed: 27.3%42%largest
China1,096 · 41.7%Türkiye317 · 12.0%India282 · 10.7%United States217 · 8.2%6 others listed719 · 27.3%

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

Which institutions lead Efficiency Analysis Using DEA research?

By volume in 2022-now, Islamic Azad University, Tehran publishes the most Efficiency Analysis Using DEA research, followed by Hefei University of Technology and Chinese Academy of Sciences.

Who are the leading researchers in Efficiency Analysis Using DEA?

The most-cited researchers publishing on Efficiency Analysis Using DEA include Christopher J L Murray, Stephan Windecker and Farshad Farzadfar.

  1. 1 Christopher J L Murray United States 583k citations
  2. 2 Stephan Windecker Switzerland 338k citations
  3. 3 Farshad Farzadfar Iran 298k citations
  4. 4 David F. Larcker United States 197k citations
  5. 5 Samer Hamidi United States 182k 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 Efficiency Analysis Using DEA?

The most cited paper in Efficiency Analysis Using DEA is "Measuring the efficiency of decision making units" (A. Charnes, William White Cooper, Edwardo L. Rhodes, 1978), with 29,033 citations. Next come "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis" (16,797) and "Formulation and estimation of stochastic frontier production function models" (10,219).

Most cited papers
#PaperReleasedCitations
1 Measuring the efficiency of decision making units A. Charnes, William White Cooper, Edwardo L. Rhodes · European Journal of Operational Research Open access Nov 1978 29,033
2 Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis Rajiv D. Banker, A. Charnes, William White Cooper · Management Science Sep 1984 16,797
3 Formulation and estimation of stochastic frontier production function models Dennis J. Aigner, C. A. Knox Lovell, Peter Schmidt · Journal of Econometrics Jul 1977 10,219
4 The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics Trevor Breusch, Adrian Rodney Pagan · The Review of Economic Studies 1980 9,003
5 SOME PRACTICAL GUIDANCE FOR THE IMPLEMENTATION OF PROPENSITY SCORE MATCHING Marco Caliendo, Sabine Kopeinig · Journal of Economic Surveys 31 Jan 2008 6,303
All 99 most cited papers, with filters and sorting

Where is Efficiency Analysis Using DEA research done?

The largest centres of Efficiency Analysis Using DEA research in 2022-now are Beijing (China), Tehran (Iran), Nanjing (China) and Shanghai (China).

Largest cities, 2022-now

  1. 1 BeijingChina 175 works
  2. 2 TehranIran 84 works
  3. 3 NanjingChina 66 works
  4. 4 ShanghaiChina 53 works
  5. 5 IstanbulTürkiye 52 works
  6. 6 WuhanChina 51 works
  7. 7 HefeiChina 44 works
  8. 8 AnkaraTürkiye 43 works
  9. 9 JinanChina 42 works
  10. 10 FuzhouChina 38 works
See Efficiency Analysis Using DEA on the map

Where is the best place to study Efficiency Analysis Using DEA?

Among universities, judged by research, Southwestern University of Finance and Economics, Shandong University and Universitat de Miguel Hernández d'Elx 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 19.15%fractional works in this field (log) →share of work in the world top 10% →Southwestern Univers…Shandong UniversityHefei University of …Universitat de Migue…
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
1Southwestern University of Finance and EconomicsChina 64.329.9%21.0×10 +10.3%
2Shandong UniversityChina 52.225.4%2.6×12 +204.2%
3Universitat de Miguel Hernández d'ElxSpain 50.914.4%32.7×13 +27.1%
4Hefei University of TechnologyChina 49.720.1%9.2×18 -0.6%
5Istinye UniversityTürkiye 49.216.2%42.6×12 -
6Soochow UniversityTaiwan 48.621.7%74.9×10 -17.2%
7Fuzhou UniversityChina 47.610.9%8.1×16 +52.3%
8Universiti Sains MalaysiaMalaysia 46.421.4%4.0×9 +66.5%
9Sultan Qaboos UniversityOman 45.211.0%14.5×9 +21.3%
10Beijing Institute of TechnologyChina 45.120.5%1.9×8 -0.2%

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 Efficiency Analysis Using DEA, country by country

Is Efficiency Analysis Using DEA research growing?

Output in 2022-2025 was 7% lower than in 2018-2021, peaking in 2020.

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 Efficiency Analysis Using DEA as a percentage of every work published that year, 0.015% in 2024.

still counting0.010%0.020%0.030%Efficiency Analysis Using DEA0.016% in 202519801990200020102020

Fractional works of Efficiency Analysis Using DEA 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%Efficiency Analysis Using DEA10.4% 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.

Discussion

Ask a question or share a note about Efficiency Analysis Using DEA. Posts are plain text and can be reported.