Iterative Selection Processes

Iterative Selection Processes is a methodological framework in artifact selection that systematically refines candidate artifacts through repeated cycles of evaluation and feedback to progressively converge on optimal or satisfactory solutions.

142

Publications

10.4K

Citations

554

Authors

296

Institutions

Publications per year

2017–2026

48

Authors

554

  1. TN
    Trevor N. Brown

    University of Toronto, Canada

    4 publications · 183 citations

    4

    h-index

  2. AT
    Amanda T. Lombard

    Nelson Mandela University, South Africa

    3 publications · 165 citations

    3

    h-index

  3. XY
    Xiao–Tong Yuan

    Nanjing University of Information Science and Technology, China

    2 publications · 118 citations

    2

    h-index

  4. JH
    John H. Drake

    University of Nottingham, United Kingdom

    2 publications · 55 citations

    2

    h-index

  5. JA
    Jon A. Arnot

    University of Toronto, Canada

    2 publications · 110 citations

    2

    h-index

1–5 of 554

Venues

  1. IEEE Geoscience and Remote Sensing Letters

    GRSL · 3 publications · 374 citations

    3

    h-index

  2. Remote Sensing

    3 publications · 144 citations

    3

    h-index

  3. The Journal of Chemical Physics

    3 publications · 340 citations

    3

    h-index

  4. RNA

    3 publications · 254 citations

    3

    h-index

  5. Molecular Informatics

    2 publications · 30 citations

    2

    h-index

1–5