Uncertainty Management

Uncertainty Management is a methodological framework within environmental data management that systematically identifies, quantifies, and mitigates uncertainties arising from data quality, model assumptions, and measurement errors to enhance the reliability and robustness of environmental decision-making.

1.1K

Publications

81.4K

Citations

3.2K

Authors

1.3K

Institutions

Publications per year

2017–2026

323

Authors

3.2K

  1. KG
    Kai Goebel

    Ames Research Center, United States

    14 publications · 1.5K citations

    14

    h-index

  2. JV
    J.P. van der Sluijs

    Utrecht University, Netherlands

    10 publications · 4.1K citations

    10

    h-index

  3. DE
    Dale E. Brashers

    University of Illinois Urbana-Champaign, United States

    10 publications · 1.5K citations

    10

    h-index

  4. KV
    Kees van den Bos

    Utrecht University, Netherlands

    8 publications · 2.1K citations

    8

    h-index

  5. JS
    James S. Risbey

    CSIRO Oceans and Atmosphere, Australia

    7 publications · 758 citations

    7

    h-index

1–5 of 3.2K

Venues

  1. Environmental Modelling & Software

    18 publications · 3K citations

    16

    h-index

  2. Health Communication

    19 publications · 982 citations

    15

    h-index

  3. Climatic Change

    16 publications · 1K citations

    15

    h-index

  4. Risk Analysis

    14 publications · 2.4K citations

    12

    h-index

  5. Reliability Engineering & System Safety

    11 publications · 318 citations

    11

    h-index

1–5