Risk Data Aggregation

Risk Data Aggregation is a systematic process within risk data management that integrates, consolidates, and harmonizes disparate risk-related data from multiple sources into a unified, consistent, and accurate dataset to enable comprehensive risk analysis, reporting, and decision-making.

8

Publications

298

Citations

18

Authors

16

Institutions

Publications per year

2017–2026

2

Authors

18

  1. SM
    Shahar Mendelson

    Technion – Israel Institute of Technology, Israel

    1 publications · 38 citations

    1

    h-index

  2. JY
    Jae Youn Ahn

    Ewha Womans University, South Korea

    1 publications · 12 citations

    1

    h-index

  3. SD
    S.K. Debrah

    International Crops Research Institute for the Semi-Arid Tropics, Mali

    1 publications · 17 citations

    1

    h-index

  4. GP
    Giovanni Puccetti

    University of Milan, Italy

    1 publications · 14 citations

    1

    h-index

  5. YL
    Young-Ju Lee

    University of Virginia, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 18

Venues

  1. Risk Analysis

    1 publications · 20 citations

    1

    h-index

  2. Reliability Engineering & System Safety

    1 publications · 60 citations

    1

    h-index

  3. Probability Theory and Related Fields

    1 publications · 38 citations

    1

    h-index

  4. Journal of Banking & Finance

    1 publications · 14 citations

    1

    h-index

  5. Information Sciences

    1 publications · 111 citations

    1

    h-index

1–5