Metric Normalization

Metric Normalization is a systematic method within the domain of Metrics Collection that transforms heterogeneous aggregation and guardrail metrics into a common scale or format to enable consistent comparison, interpretation, and integration across diverse measurement contexts.

32

Publications

2.2K

Citations

86

Authors

52

Institutions

Publications per year

2017–2026

11

Authors

86

  1. MW
    Marek Walesiak

    Wroclaw University of Economics and Business, Poland

    2 publications · 44 citations

    2

    h-index

  2. HT
    H.K. Thapar

    IBM (United States), United States

    2 publications · 110 citations

    2

    h-index

  3. PH
    Paul H. Siegel

    University of California San Diego, United States

    2 publications · 110 citations

    2

    h-index

  4. MJ
    Max J. Egenhofer

    University of Maine, United States

    2 publications · 170 citations

    2

    h-index

  5. FW
    Forrest W. Young

    University of North Carolina at Chapel Hill, United States

    2 publications · 181 citations

    2

    h-index

1–5 of 86

Venues

  1. Psychometrika

    2 publications · 181 citations

    2

    h-index

  2. Information Sciences

    2 publications · 75 citations

    2

    h-index

  3. IEEE Transactions on Signal Processing

    1 publications · 33 citations

    1

    h-index

  4. IEEE Transactions on Cybernetics

    1 publications · 25 citations

    1

    h-index

  5. Arabian Journal for Science and Engineering

    1 publications · 31 citations

    1

    h-index

1–5