Partial Coverage Models

Partial Coverage Models is a facility location modeling framework that, unlike binary coverage models, allows demand points to receive partial satisfaction from facilities based on their proximity, thereby representing coverage as a continuous or graded function rather than an all-or-nothing condition.

88

Publications

3.8K

Citations

269

Authors

167

Institutions

Publications per year

2017–2026

19

Variants

Graded Coverage Models

Authors

269

  1. MM
    Morgan McGuire

    Williams College, United States

    3 publications · 68 citations

    3

    h-index

  2. LL
    Luca Lambertini

    University of Bologna, Italy

    3 publications · 63 citations

    3

    h-index

  3. SB
    Stacey B. Plichta

    Old Dominion University, United States

    2 publications · 61 citations

    2

    h-index

  4. NA
    Nahum Arav

    Virginia Tech, United States

    2 publications · 150 citations

    2

    h-index

  5. FC
    Francesco Carrabs

    University of Salerno, Italy

    2 publications · 55 citations

    2

    h-index

1–5 of 269

Venues

  1. 4

    h-index

  2. IEEE Sensors Journal

    3 publications · 199 citations

    3

    h-index

  3. Computers & Operations Research

    2 publications · 235 citations

    2

    h-index

  4. The Astrophysical Journal

    ApJ · 2 publications · 131 citations

    2

    h-index

  5. Journal of Forensic Nursing

    JFN · 2 publications · 61 citations

    2

    h-index

1–5