Fairness

Fairness is a normative construct in algorithmic systems that specifies criteria for equitable treatment and allocative justice, distinguishing itself from related ethical principles by focusing on the absence of discriminatory bias in automated decision-making processes with respect to sensitive attributes such as race, gender, or socioeconomic status.

6.2K

Publications

420.7K

Citations

14.3K

Authors

3.1K

Institutions

Publications per year

2017–2026

2.8K

Authors

14.3K

  1. EF
    Ernst Fehr

    University of Zurich, Switzerland

    34 publications · 7.8K citations

    27

    h-index

  2. KP
    Krishna P. Gummadi

    Max Planck Institute for Software Systems, Germany

    24 publications · 2.7K citations

    20

    h-index

  3. AR
    Aaron Roth

    University of Pennsylvania, United States

    19 publications · 2.3K citations

    17

    h-index

  4. AW
    Adrian Weller

    University of Cambridge, United Kingdom

    17 publications · 1.1K citations

    16

    h-index

  5. HV
    H. Vincent Poor

    Princeton University, United States

    16 publications · 1.2K citations

    15

    h-index

1–5 of 14.3K

Venues

  1. arXiv (Cornell University)

    Repository · 298 publications · 13.3K citations

    49

    h-index

  2. IEEE Transactions on Wireless Communications

    97 publications · 7.8K citations

    42

    h-index

  3. IEEE Transactions on Vehicular Technology

    100 publications · 4.5K citations

    40

    h-index

  4. SSRN Electronic Journal

    Repository · 140 publications · 5.2K citations

    38

    h-index

  5. IEEE/ACM Transactions on Networking

    TON · 52 publications · 9.7K citations

    37

    h-index

1–5