Risk Data Modeling

Risk Data Modeling is a methodological framework within risk data management that systematically structures and formalizes the representation, relationships, and attributes of risk-related data elements to enable accurate risk analysis, aggregation, and reporting across organizational and regulatory contexts.

31

Publications

893

Citations

103

Authors

56

Institutions

Publications per year

2017–2026

14

Authors

103

  1. AA
    Abolfazl Aminian

    Islamic Azad University South Tehran Branch, Iran

    2 publications · 31 citations

    2

    h-index

  2. MM
    Mohammad Mojtahedi

    UNSW Sydney, Australia

    2 publications · 31 citations

    2

    h-index

  3. SM
    Seyed Meysam Mousavi

    Shahed University, Iran

    2 publications · 31 citations

    2

    h-index

  4. TS
    Tatsuya Sakurahara

    University of Illinois Urbana-Champaign, United States

    1 publications · 31 citations

    1

    h-index

  5. AA
    Atsushi Aoyama

    Ritsumeikan University, Japan

    1 publications · 15 citations

    1

    h-index

1–5 of 103

Venues

  1. Reliability Engineering & System Safety

    3 publications · 151 citations

    3

    h-index

  2. The Journal of Politics

    JP · 1 publications · 152 citations

    1

    h-index

  3. Journal of the Association for Information Systems

    JAIS · 1 publications · 14 citations

    1

    h-index

  4. The Science of The Total Environment

    1 publications · 17 citations

    1

    h-index

  5. Statistics

    1 publications · 27 citations

    1

    h-index

1–5