Two-dimensional Grain Statistics

Two-Dimensional Grain Statistics is a quantitative analytical framework that characterizes the morphological and topological properties of grain structures in two-dimensional cross-sectional images by statistically analyzing grain size, shape, orientation, and spatial distribution to infer material microstructural features.

10

Publications

300

Citations

20

Authors

13

Institutions

Publications per year

2017–2026

0

Authors

20

  1. GA
    G. Abbruzzese

    RINA Consulting - Centro Sviluppo Materiali S.p.A. (Italy), Italy

    2 publications · 138 citations

    2

    h-index

  2. IH
    I. Heckelmann

    RWTH Aachen University, Germany

    2 publications · 138 citations

    2

    h-index

  3. KL
    K. Lücke

    Industrial Union of Metalworkers, Germany

    2 publications · 138 citations

    2

    h-index

  4. PR
    Paulo Rangel Rios

    Universidade Federal Fluminense, Brazil

    1 publications · 12 citations

    1

    h-index

  5. PR
    Peter R. King

    Imperial College London, United Kingdom

    1 publications · 25 citations

    1

    h-index

1–5 of 20

Venues

  1. Acta Metallurgica et Materialia

    2 publications · 138 citations

    2

    h-index

  2. Physical Review E

    PRE · 1 publications · 25 citations

    1

    h-index

  3. 1

    h-index

  4. American Journal of Science

    1 publications · 16 citations

    1

    h-index

  5. Acta Metallurgica

    1 publications · 18 citations

    1

    h-index

1–5