Crowdsourcing Decision-making

Crowdsourcing Decision-Making is a collective decision-making approach that leverages input from a large, diverse group of individuals, typically through open calls or digital platforms, to aggregate decentralized knowledge, preferences, or judgments in order to inform or determine a shared outcome.

512

Publications

30.9K

Citations

1.4K

Authors

563

Institutions

Publications per year

2017–2026

223

Authors

1.4K

  1. HY
    Han Yu

    Nanyang Technological University, Singapore

    9 publications · 505 citations

    9

    h-index

  2. CM
    Chunyan Miao

    Nanyang Technological University, Singapore

    8 publications · 506 citations

    8

    h-index

  3. HG
    Héctor García-Molina

    Stanford University, United States

    7 publications · 449 citations

    7

    h-index

  4. MM
    Mausam Mausam

    University of Washington, United States

    6 publications · 393 citations

    6

    h-index

  5. DZ
    Dengyong Zhou

    Microsoft (United States), United States

    6 publications · 257 citations

    6

    h-index

1–5 of 1.4K

Venues

  1. 15

    h-index

  2. arXiv (Cornell University)

    Repository · 17 publications · 479 citations

    14

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 8 publications · 405 citations

    8

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 8 publications · 490 citations

    8

    h-index

  5. SSRN Electronic Journal

    Repository · 7 publications · 339 citations

    7

    h-index

1–5