Online Combinatorial Auctions

Online Combinatorial Auctions is a combinatorial auction framework in which bidders arrive sequentially over time and submit bids on bundles of items without full knowledge of future bids, distinguishing it from static combinatorial auctions by its incremental decision-making under uncertainty.

59

Publications

2.8K

Citations

152

Authors

78

Institutions

Publications per year

2017–2026

12

Variants

Dynamic Combinatorial Auctions

Authors

152

  1. MY
    Makoto Yokoo

    Kyushu University, Japan

    3 publications · 449 citations

    3

    h-index

  2. LZ
    Linquan Zhang

    University of Hong Kong, Hong Kong SAR China

    3 publications · 287 citations

    3

    h-index

  3. FC
    Francis C. M. Lau

    Hong Kong Polytechnic University, Hong Kong SAR China

    3 publications · 287 citations

    3

    h-index

  4. YS
    Yuko Sakurai

    Kyushu University, Japan

    3 publications · 449 citations

    3

    h-index

  5. ZL
    Zongpeng Li

    University of Calgary, Canada

    3 publications · 287 citations

    3

    h-index

1–5 of 152

Venues

  1. Games and Economic Behavior

    2 publications · 270 citations

    2

    h-index

  2. Decision Support Systems

    2 publications · 126 citations

    2

    h-index

  3. Management Science

    2 publications · 213 citations

    2

    h-index

  4. IEEE/ACM Transactions on Networking

    TON · 2 publications · 115 citations

    2

    h-index

  5. European Journal of Operational Research

    2 publications · 64 citations

    2

    h-index

1–5