Computational Physiology

Computational Physiology is a branch of quantitative systems physiology that employs mathematical models and computational simulations to characterize and predict physiological processes, distinguishing itself by integrating experimental data with algorithmic approaches to study biological function across multiple scales.

127

Publications

5.8K

Citations

510

Authors

224

Institutions

Publications per year

2017–2026

25

Authors

510

  1. PH
    Peter Hunter

    University of Auckland, New Zealand

    8 publications · 219 citations

    8

    h-index

  2. AG
    Alan Garny

    University of Oxford, United Kingdom

    6 publications · 320 citations

    6

    h-index

  3. PK
    Peter Köhl

    University of Oxford, United Kingdom

    5 publications · 270 citations

    5

    h-index

  4. JP
    Joe Pitt‐Francis

    University of Oxford, United Kingdom

    5 publications · 641 citations

    5

    h-index

  5. JC
    Jonathan Cooper

    University of Oxford, United Kingdom

    4 publications · 624 citations

    4

    h-index

1–5 of 510

Venues

  1. Frontiers in Physiology

    12 publications · 590 citations

    11

    h-index

  2. 7

    h-index

  3. Annals of Biomedical Engineering

    4 publications · 163 citations

    4

    h-index

  4. Computer Methods and Programs in Biomedicine

    4 publications · 54 citations

    4

    h-index

  5. PLoS Computational Biology

    4 publications · 542 citations

    4

    h-index

1–5