Distribution Tail Analysis

Distribution Tail Analysis is a methodological framework within polymer characterization that specifically examines the extremities of a molecular weight distribution to identify and quantify low- or high-molecular-weight species that deviate from the average distribution profile.

99

Publications

3.6K

Citations

231

Authors

148

Institutions

Publications per year

2017–2026

22

Authors

231

  1. WG
    Wolfgang Glänzel

    KU Leuven, Belgium

    5 publications · 137 citations

    5

    h-index

  2. HB
    Herwig Bruneel

    Ghent University, Belgium

    5 publications · 68 citations

    5

    h-index

  3. SI
    Sidney I. Resnick

    Cornell University, United States

    4 publications · 134 citations

    4

    h-index

  4. SW
    Sabine Wittevrongel

    Ghent University, Belgium

    3 publications · 38 citations

    3

    h-index

  5. VV
    Vladimir Vatutin

    Steklov Mathematical Institute, Russia

    3 publications · 64 citations

    3

    h-index

1–5 of 231

Venues

  1. Advances in Applied Probability

    AAP · 6 publications · 218 citations

    6

    h-index

  2. Journal of Applied Probability

    JAP · 3 publications · 92 citations

    3

    h-index

  3. Scientometrics

    2 publications · 64 citations

    2

    h-index

  4. Communications in Statistics Stochastic Models

    2 publications · 120 citations

    2

    h-index

  5. Stochastic Processes and their Applications

    2 publications · 159 citations

    2

    h-index

1–5