Cost Function Modeling

Cost Function Modeling is a mathematical and statistical methodology within cost forecasting that specifies the functional relationship between project or production costs and their underlying cost drivers by quantifying how variations in inputs, scale, or complexity differentially affect total cost outcomes.

2.4K

Publications

126.4K

Citations

6.1K

Authors

1.8K

Institutions

Publications per year

2017–2026

596

Authors

6.1K

  1. SC
    Subal C. Kumbhakar

    Binghamton University, United States

    9 publications · 276 citations

    9

    h-index

  2. JR
    José Rodríguez

    Federico Santa María Technical University, Chile

    8 publications · 2.5K citations

    8

    h-index

  3. JI
    Jairo Inga

    Karlsruhe Institute of Technology, Germany

    6 publications · 141 citations

    6

    h-index

  4. SH
    Sören Hohmann

    Karlsruhe Institute of Technology, Germany

    6 publications · 141 citations

    6

    h-index

  5. CP
    Carlos Pestana Barros

    University of Lisbon, Portugal

    5 publications · 110 citations

    5

    h-index

1–5 of 6.1K

Venues

  1. The Review of Economics and Statistics

    20 publications · 2.7K citations

    19

    h-index

  2. IEEE Transactions on Signal Processing

    19 publications · 1.6K citations

    17

    h-index

  3. Management Science

    23 publications · 2.2K citations

    17

    h-index

  4. arXiv (Cornell University)

    Repository · 24 publications · 1.8K citations

    17

    h-index

  5. IEEE Transactions on Automatic Control

    16 publications · 994 citations

    16

    h-index

1–5