Census Microdata Integration

Census Microdata Integration is a methodological framework within synthetic population generation that enables the harmonization and statistical utilization of individual-level census records to construct representative synthetic datasets reflecting population characteristics and spatial distributions.

19

Publications

708

Citations

40

Authors

25

Institutions

Publications per year

2017–2026

7

Authors

40

  1. KH
    Keith Halfacree

    Swansea University, United Kingdom

    3 publications · 59 citations

    3

    h-index

  2. DS
    Darren Smith

    Loughborough University, United Kingdom

    3 publications · 59 citations

    3

    h-index

  3. PB
    Paul Boyle

    University of St Andrews, United Kingdom

    3 publications · 50 citations

    3

    h-index

  4. MS
    Matthew Sobek

    University of Minnesota, United States

    2 publications · 85 citations

    2

    h-index

  5. SR
    Steven Ruggles

    University of Minnesota, United States

    2 publications · 85 citations

    2

    h-index

1–5 of 40

Venues

  1. 4

    h-index

  2. 2

    h-index

  3. Journal of Family History

    1 publications · 23 citations

    1

    h-index

  4. International Journal of Population Geography

    IJPG · 1 publications · 26 citations

    1

    h-index

  5. International Statistical Review

    1 publications · 12 citations

    1

    h-index

1–5