Optimization Pathways

Optimization Pathways is a computational framework within Evolutionary Trajectory Analysis that identifies and characterizes the most efficient sequences of adaptive changes by integrating selective pressures, genetic constraints, and phenotypic outcomes to model the directed progression of evolutionary optimization.

12

Publications

579

Citations

54

Authors

25

Institutions

Publications per year

2017–2026

6

Authors

54

  1. MJ
    Mathias J. Wawer

    Broad Institute, United States

    1 publications · 154 citations

    1

    h-index

  2. AG
    Aristide Giuliano

    National Agency for New Technologies, Energy and Sustainable Economic Development, Italy

    1 publications · 51 citations

    1

    h-index

  3. WS
    Wolfram Sparber

    Eurac Research, Italy

    1 publications · 154 citations

    1

    h-index

  4. WZ
    Wenbin Zhou

    Chinese Academy of Agricultural Sciences, China

    1 publications · 21 citations

    1

    h-index

  5. PL
    P. Laukkanen

    University of Turku, Finland

    1 publications · 34 citations

    1

    h-index

1–5 of 54

Venues

  1. Journal of Medicinal Chemistry

    1 publications · 154 citations

    1

    h-index

  2. Energy Technology

    1 publications · 14 citations

    1

    h-index

  3. Industrial & Engineering Chemistry Research

    1 publications · 51 citations

    1

    h-index

  4. Trends in Microbiology

    1 publications · 48 citations

    1

    h-index

  5. Scientific Reports

    1 publications · 35 citations

    1

    h-index

1–5