Observation Bias

Observation Bias is a systematic error in observational data collection or interpretation that arises from the observer’s expectations, perceptions, or methodologies, leading to distorted or unrepresentative findings within observation-based assessment practices.

89

Publications

5.9K

Citations

322

Authors

162

Institutions

Publications per year

2017–2026

23

Authors

322

  1. EK
    Eugenia Kalnay

    University of Maryland, College Park, United States

    4 publications · 129 citations

    4

    h-index

  2. IS
    Istvan Szunyogh

    University of Maryland, College Park, United States

    3 publications · 98 citations

    3

    h-index

  3. EJ
    Elana J. Fertig

    Johns Hopkins University, United States

    3 publications · 98 citations

    3

    h-index

  4. EO
    Edward Ott

    University of Maryland, College Park, United States

    2 publications · 72 citations

    2

    h-index

  5. GD
    Gabriëlle De Lannoy

    KU Leuven, Belgium

    2 publications · 59 citations

    2

    h-index

1–5 of 322

Venues

  1. 6

    h-index

  2. Monthly Weather Review

    4 publications · 86 citations

    4

    h-index

  3. Tellus A Dynamic Meteorology and Oceanography

    3 publications · 82 citations

    3

    h-index

  4. Geophysical Research Letters

    3 publications · 250 citations

    3

    h-index

  5. Atmospheric measurement techniques

    2 publications · 215 citations

    2

    h-index

1–5