Weak Convergence

Weak Convergence is a mode of convergence of probability measures in which a sequence of measures converges to a limiting measure if and only if the integrals of all bounded continuous functions with respect to the sequence converge to the integral with respect to the limit.

7.6K

Publications

346.3K

Citations

7.5K

Authors

2.1K

Institutions

Publications per year

2017–2026

696

Authors

7.5K

  1. WT
    Wataru Takahashi

    Tokyo Institute of Technology, Japan

    54 publications · 6.7K citations

    32

    h-index

  2. SA
    S. A. Mohiuddine

    King Abdulaziz University, Saudi Arabia

    33 publications · 2.2K citations

    25

    h-index

  3. M‎
    M. ‎Mursaleen

    Aligarh Muslim University, India

    50 publications · 2.1K citations

    24

    h-index

  4. BC
    Binod Chandra Tripathy

    Institute of Advanced Study in Science and Technology, India

    26 publications · 1.2K citations

    20

    h-index

  5. DY
    Dachun Yang

    Beijing Normal University, China

    27 publications · 971 citations

    20

    h-index

1–5 of 7.5K

Venues

  1. Journal of Mathematical Analysis and Applications

    386 publications · 20.3K citations

    61

    h-index

  2. The Annals of Probability

    193 publications · 12.3K citations

    59

    h-index

  3. Nonlinear Analysis

    158 publications · 10.2K citations

    51

    h-index

  4. Transactions of the American Mathematical Society

    TRAN · 202 publications · 8.6K citations

    49

    h-index

  5. Journal of Functional Analysis

    186 publications · 8.5K citations

    48

    h-index

1–5