Statistical Palynology

Statistical Palynology is a formal methodological framework within forensic palynology that applies statistical models and quantitative analyses to palynological data to enable the systematic interpretation, comparison, and inference of geographic or temporal provenance based on pollen and spore distributions.

22

Publications

874

Citations

50

Authors

26

Institutions

Publications per year

2017–2026

2

Authors

50

  1. DC
    Dallas C. Mildenhall

    GNS Science, New Zealand

    2 publications · 158 citations

    2

    h-index

  2. KJ
    Kevin J. Edwards

    University of Aberdeen, United Kingdom

    2 publications · 57 citations

    2

    h-index

  3. MH
    Mark Horrocks

    University of Auckland, New Zealand

    2 publications · 126 citations

    2

    h-index

  4. VB
    Vaughn Bryant

    Texas A&M University, United States

    2 publications · 115 citations

    2

    h-index

  5. DL
    David L. Hawksworth

    Universidad Complutense de Madrid, Spain

    1 publications · 43 citations

    1

    h-index

1–5 of 50

Venues

  1. Forensic Science International

    5 publications · 226 citations

    5

    h-index

  2. Review of Palaeobotany and Palynology

    4 publications · 190 citations

    4

    h-index

  3. Palynology

    1 publications · 13 citations

    1

    h-index

  4. Grana

    1 publications · 11 citations

    1

    h-index

  5. UA Campus Repository (The University of Arizona)

    Repository · 1 publications · 20 citations

    1

    h-index

1–5