Optimal Transport

Optimal Transport is a mathematical framework in the theory of probability and optimization that characterizes the most efficient way to redistribute mass between two probability distributions, minimizing a given cost function associated with the transport of mass.

1.4K

Publications

74.1K

Citations

3.7K

Authors

1K

Institutions

Publications per year

2017–2026

837

Variants

Optimal Transport Theory

Authors

3.7K

  1. GP
    Gabriel Peyré

    Centre de Recherche en Mathématiques de la Décision, France

    32 publications · 4K citations

    27

    h-index

  2. MC
    Marco Cuturi

    Kyoto University, Japan

    34 publications · 5.8K citations

    26

    h-index

  3. AT
    Allen Tannenbaum

    Georgia Institute of Technology, United States

    25 publications · 1.6K citations

    19

    h-index

  4. YC
    Yongxin Chen

    Georgia Institute of Technology, United States

    24 publications · 1.2K citations

    18

    h-index

  5. TT
    Tryphon T. Georgiou

    University of Minnesota, United States

    20 publications · 1.2K citations

    17

    h-index

1–5 of 3.7K

Venues

  1. arXiv (Cornell University)

    Repository · 230 publications · 8K citations

    44

    h-index

  2. Physical Review Letters

    PRL · 20 publications · 1.9K citations

    18

    h-index

  3. SIAM Journal on Mathematical Analysis

    21 publications · 1.8K citations

    17

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 16 publications · 651 citations

    15

    h-index

  5. SIAM Journal on Imaging Sciences

    SIIMS · 15 publications · 1.1K citations

    15

    h-index

1–5