Risk Information Processing

Risk Information Processing is a theoretical construct that specifies how individuals cognitively interpret, evaluate, and respond to hazard-related communications by integrating perceived risk attributes with contextual and individual factors to inform decision-making and protective actions.

661

Publications

58.9K

Citations

1.6K

Authors

691

Institutions

Publications per year

2017–2026

182

Authors

1.6K

  1. JZ
    Janet Z. Yang

    University at Buffalo, State University of New York, United States

    19 publications · 1.6K citations

    16

    h-index

  2. LA
    Lee Ann Kahlor

    The University of Texas at Austin, United States

    16 publications · 2.1K citations

    15

    h-index

  3. SD
    Sharon Dunwoody

    University of Wisconsin–Madison, United States

    12 publications · 3.3K citations

    12

    h-index

  4. MS
    Michael Siegrist

    ETH Zurich, Switzerland

    11 publications · 1K citations

    11

    h-index

  5. VF
    Valerie F. Reyna

    Cornell University, United States

    9 publications · 2.3K citations

    9

    h-index

1–5 of 1.6K

Venues

  1. Risk Analysis

    59 publications · 6.4K citations

    40

    h-index

  2. Journal of Risk Research

    35 publications · 1.4K citations

    22

    h-index

  3. Health Communication

    19 publications · 1.3K citations

    16

    h-index

  4. Science Communication

    16 publications · 1.7K citations

    16

    h-index

  5. Journal of Health Communication

    15 publications · 518 citations

    13

    h-index

1–5