Adaptive Peak Tracking

Adaptive Peak Tracking is a theoretical framework in evolutionary biology that models the process by which populations under stabilizing selection maintain optimal trait values by dynamically following shifting adaptive peaks in a fitness landscape.

13

Publications

894

Citations

42

Authors

27

Institutions

Publications per year

2017–2026

1

Authors

42

  1. LF
    Luc F. Bussière

    University of Stirling, United Kingdom

    2 publications · 246 citations

    2

    h-index

  2. JK
    Joost K. Strasters

    North Carolina State University, United States

    2 publications · 47 citations

    2

    h-index

  3. JH
    John Hunt

    University of Exeter, United Kingdom

    2 publications · 246 citations

    2

    h-index

  4. HB
    H.A.H. Billiet

    Delft University of Technology, Netherlands

    2 publications · 47 citations

    2

    h-index

  5. MD
    Michael D. Jennions

    Australian National University, Australia

    2 publications · 246 citations

    2

    h-index

1–5 of 42

Venues

  1. Evolution

    6 publications · 496 citations

    6

    h-index

  2. Journal of Chromatography A

    2 publications · 47 citations

    2

    h-index

  3. The Journal of the Acoustical Society of America

    JASA · 1 publications · 16 citations

    1

    h-index

  4. Theoretical Population Biology

    TPB · 1 publications · 25 citations

    1

    h-index

  5. IEEE Transactions on Industrial Electronics

    1 publications · 58 citations

    1

    h-index

1–5