Game-theoretic Optimization

Game-Theoretic Optimization is a formal framework for modeling and solving resource allocation problems in which strategic interactions among rational decision-makers are optimized using equilibrium concepts from game theory.

2.8K

Publications

141.3K

Citations

6K

Authors

1.7K

Institutions

Publications per year

2017–2026

1K

Authors

6K

  1. DN
    Dusit Niyato

    Nanyang Technological University, Singapore

    28 publications · 2.2K citations

    25

    h-index

  2. MR
    Morteza Rasti−Barzoki

    Isfahan University of Technology, Iran

    27 publications · 2.1K citations

    22

    h-index

  3. WS
    Walid Saad

    Virginia Tech, United States

    23 publications · 2.4K citations

    18

    h-index

  4. QZ
    Quanyan Zhu

    New York University, United States

    20 publications · 754 citations

    17

    h-index

  5. TB
    Tamer Başar

    University of Illinois Urbana-Champaign, United States

    25 publications · 2.4K citations

    17

    h-index

1–5 of 6K

Venues

  1. European Journal of Operational Research

    52 publications · 2.9K citations

    29

    h-index

  2. IEEE Transactions on Vehicular Technology

    40 publications · 1.9K citations

    25

    h-index

  3. IEEE Journal on Selected Areas in Communications

    31 publications · 1.9K citations

    25

    h-index

  4. IEEE Transactions on Wireless Communications

    31 publications · 2K citations

    24

    h-index

  5. IEEE Access

    39 publications · 1.4K citations

    23

    h-index

1–5