Space-time Statistics

Space-Time Statistics is a statistical methodology that integrates spatial and temporal dimensions to analyze patterns, processes, and relationships in data distributed across both space and time.

262

Publications

16.4K

Citations

808

Authors

438

Institutions

Publications per year

2017–2026

58

Authors

808

  1. MK
    Martin Kulldorff

    Harvard University, United States

    7 publications · 765 citations

    7

    h-index

  2. DP
    D. Posa

    University of Salento, Italy

    6 publications · 571 citations

    6

    h-index

  3. DE
    Donald E. Myers

    University of Arizona, United States

    5 publications · 551 citations

    5

    h-index

  4. SD
    Sandra De Iaco

    University of Salento, Italy

    5 publications · 335 citations

    5

    h-index

  5. GR
    Gerald R. North

    Texas A&M University, United States

    4 publications · 248 citations

    4

    h-index

1–5 of 808

Venues

  1. PLoS ONE

    12 publications · 660 citations

    11

    h-index

  2. International Journal of Health Geographics

    9 publications · 757 citations

    8

    h-index

  3. Statistics in Medicine

    7 publications · 514 citations

    7

    h-index

  4. BMC Infectious Diseases

    6 publications · 257 citations

    6

    h-index

  5. Epidemiology and Infection

    6 publications · 179 citations

    6

    h-index

1–5