Auction-based Incentives

Auction-Based Incentives is a behavioral incentive mechanism in which agents competitively bid for rewards or privileges under structured rules, thereby aligning individual actions with desired outcomes through market-like allocation dynamics.

110

Publications

8.9K

Citations

308

Authors

165

Institutions

Publications per year

2017–2026

47

Authors

308

  1. KN
    Klara Nahrstedt

    University of Illinois Urbana-Champaign, United States

    4 publications · 550 citations

    4

    h-index

  2. JT
    Jian Tang

    Syracuse University, United States

    4 publications · 1.1K citations

    4

    h-index

  3. HT
    Hwee-Pink Tan

    Institute for Infocomm Research, Singapore

    4 publications · 429 citations

    4

    h-index

  4. DY
    Dejun Yang

    Colorado School of Mines, United States

    4 publications · 1.1K citations

    4

    h-index

  5. TL
    Tie Luo

    Agency for Science, Technology and Research, Singapore

    4 publications · 429 citations

    4

    h-index

1–5 of 308

Venues

  1. IEEE Transactions on Mobile Computing

    TMCCI · 6 publications · 574 citations

    6

    h-index

  2. IEEE Transactions on Vehicular Technology

    4 publications · 192 citations

    4

    h-index

  3. 4

    h-index

  4. IEEE Internet of Things Journal

    4 publications · 125 citations

    4

    h-index

  5. IEEE/ACM Transactions on Networking

    TON · 3 publications · 165 citations

    3

    h-index

1–5