Population Compartmental Analysis

Population Compartmental Analysis is a mathematical modeling framework within compartmental analysis that partitions a population into discrete homogeneous subgroups based on shared characteristics or states, enabling the study of dynamic interactions and transitions between these states over time.

17

Publications

430

Citations

53

Authors

33

Institutions

Publications per year

2017–2026

10

Authors

53

  1. IH
    Ichiro Hiratani

    RIKEN Center for Biosystems Dynamics Research, Japan

    1 publications · 39 citations

    1

    h-index

  2. ZB
    Zafer Bekiryazıcı

    Karadeniz Technical University, Türkiye

    1 publications · 19 citations

    1

    h-index

  3. CC
    Carlos Castillo‐Chávez

    Arizona State University, United States

    1 publications · 16 citations

    1

    h-index

  4. AC
    Anik Chaturbedi

    Rutgers, The State University of New Jersey, United States

    1 publications · 11 citations

    1

    h-index

  5. SM
    Sibaliwe Maku Vyambwera

    University of the Western Cape, South Africa

    1 publications · 13 citations

    1

    h-index

1–5 of 53

Venues

  1. Results in Physics

    1 publications · 29 citations

    1

    h-index

  2. 1

    h-index

  3. BMC Research Notes

    1 publications · 13 citations

    1

    h-index

  4. Journal of Biological Dynamics

    1 publications · 16 citations

    1

    h-index

  5. Computational and Mathematical Biophysics

    1 publications · 26 citations

    1

    h-index

1–5