Data Envelopment Analysis

Data Envelopment Analysis is a non-parametric linear programming method used in efficiency analysis to evaluate the relative productivity of decision-making units by measuring their performance against a frontier of best practice, distinguished from other evaluation techniques by its ability to handle multiple inputs and outputs without requiring a priori specification of weights or functional forms.

7.8K

Publications

407.8K

Citations

13.2K

Authors

3.7K

Institutions

Publications per year

2017–2026

3K

Authors

13.2K

  1. JZ
    Joe Zhu

    Worcester Polytechnic Institute, United States

    60 publications · 8.4K citations

    42

    h-index

  2. AE
    Ali Emrouznejad

    Aston University, United Kingdom

    79 publications · 6.5K citations

    38

    h-index

  3. WW
    W. W. Cooper

    The University of Texas at Austin, United States

    39 publications · 25.4K citations

    34

    h-index

  4. RF
    Reza Farzipoor Saen

    Islamic Azad University, Karaj, Iran

    102 publications · 3.9K citations

    34

    h-index

  5. WD
    Wade D. Cook

    York University, Canada

    42 publications · 6.4K citations

    29

    h-index

1–5 of 13.2K

Venues

  1. European Journal of Operational Research

    277 publications · 39.9K citations

    92

    h-index

  2. Omega

    86 publications · 8.9K citations

    55

    h-index

  3. Applied Economics

    116 publications · 7.2K citations

    54

    h-index

  4. Journal of Cleaner Production

    106 publications · 7.2K citations

    53

    h-index

  5. Journal of the Operational Research Society

    OR · 141 publications · 12.7K citations

    52

    h-index

1–5