Integration Studies

Integration Studies is a scholarly contribution in the field of measure-theoretic probability that introduces a method, model, framework, theory, construct, dataset, task, or metric specifically designed to unify or combine probabilistic structures, measurable functions, or stochastic processes within a rigorous measure-theoretic framework.

74

Publications

7.3K

Citations

183

Authors

90

Institutions

Publications per year

2017–2026

9

Authors

183

  1. MO
    Mark O’Malley

    University College Dublin, Ireland

    3 publications · 737 citations

    3

    h-index

  2. DF
    Damian Flynn

    University College Dublin, Ireland

    3 publications · 737 citations

    3

    h-index

  3. KY
    Kamal Youcef‐Toumi

    Massachusetts Institute of Technology, United States

    2 publications · 51 citations

    2

    h-index

  4. TD
    Thomas Diez

    University of Birmingham, United Kingdom

    2 publications · 358 citations

    2

    h-index

  5. AM
    Amro M. Farid

    Massachusetts Institute of Technology, United States

    2 publications · 51 citations

    2

    h-index

1–5 of 183

Venues

  1. Journal of European Public Policy

    JEPP · 6 publications · 674 citations

    6

    h-index

  2. JCMS Journal of Common Market Studies

    3 publications · 405 citations

    3

    h-index

  3. IEEE Transactions on Industrial Electronics

    2 publications · 51 citations

    2

    h-index

  4. 2

    h-index

  5. Journal of Contemporary European Studies

    2 publications · 45 citations

    2

    h-index

1–5