Aggregation Sensitivity

Aggregation Sensitivity is an aggregation metric that quantifies the degree to which aggregated results change in response to variations in the composition, ordering, or granularity of the underlying data elements.

6

Publications

1K

Citations

11

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

11

  1. RD
    Rajiv D. Banker

    Temple University, United States

    1 publications · 930 citations

    1

    h-index

  2. ZL
    Zhigang Lu

    Tsinghua University, China

    1 publications · 14 citations

    1

    h-index

  3. AF
    Andrea Filippetti

    Birkbeck, University of London, United Kingdom

    1 publications · 10 citations

    1

    h-index

  4. GC
    Giovanni Cerulli

    National Research Council, Italy

    1 publications · 10 citations

    1

    h-index

  5. HS
    Hong Shen

    The University of Adelaide, Australia

    1 publications · 14 citations

    1

    h-index

1–5 of 11

Venues

  1. Renewable Energy

    1 publications · 42 citations

    1

    h-index

  2. Procedia - Social and Behavioral Sciences

    1 publications · 10 citations

    1

    h-index

  3. Applied Psychological Measurement

    1 publications · 10 citations

    1

    h-index

  4. Journal of Accounting Research

    JAR · 1 publications · 930 citations

    1

    h-index

  5. Journal of Informetrics

    1 publications · 14 citations

    1

    h-index

1–5