Self-reporting Bias Correction

Self-Reporting Bias Correction is a methodological framework designed to adjust for systematic inaccuracies in bycatch data arising from unverified or subjective reporting by fisheries participants, through statistical or algorithmic reconciliation of reported values with independent observational or monitoring data.

15

Publications

18K

Citations

48

Authors

32

Institutions

Publications per year

2017–2026

5

Authors

48

  1. WB
    William B. Jackson

    National Institute of Environmental Health Sciences, United States

    1 publications · 316 citations

    1

    h-index

  2. MF
    Mats Flaaten

    St Olav's University Hospital, Norway

    1 publications · 19 citations

    1

    h-index

  3. JV
    Jan vom Brocke

    University of Liechtenstein, Liechtenstein

    1 publications · 76 citations

    1

    h-index

  4. AL
    Aleksej Logacjov

    Norwegian University of Science and Technology, Norway

    1 publications · 19 citations

    1

    h-index

  5. MP
    M.M. Perisic

    Hasselt University, Belgium

    1 publications · 13 citations

    1

    h-index

1–5 of 48

Venues

  1. Population Health Metrics

    PHM · 2 publications · 208 citations

    2

    h-index

  2. Journal of Management

    JOM · 1 publications · 16.9K citations

    1

    h-index

  3. Human Dimensions of Wildlife

    1 publications · 19 citations

    1

    h-index

  4. SLEEP

    1 publications · 316 citations

    1

    h-index

  5. Journal of Open Innovation Technology Market and Complexity

    JOItmC · 1 publications · 53 citations

    1

    h-index

1–5