Detection Thresholds

Detection Thresholds is a metric in error detection that specifies the minimum level of deviation or anomaly required to reliably identify the presence of an error within a system or process.

1.2K

Publications

62.9K

Citations

3.6K

Authors

1.2K

Institutions

Publications per year

2017–2026

213

Authors

3.6K

  1. BE
    Bryan E. Pfingst

    University of Michigan, United States

    14 publications · 622 citations

    14

    h-index

  2. EB
    Emily Buss

    University of North Carolina at Chapel Hill, United States

    9 publications · 199 citations

    9

    h-index

  3. LR
    Leslie R. Bernstein

    UConn Health, United States

    8 publications · 239 citations

    8

    h-index

  4. CT
    Constantine Trahiotis

    UConn Health, United States

    8 publications · 306 citations

    8

    h-index

  5. JW
    Joseph W. Hall

    University of North Carolina at Chapel Hill, United States

    8 publications · 215 citations

    8

    h-index

1–5 of 3.6K

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 136 publications · 6.1K citations

    45

    h-index

  2. Chemical Senses

    41 publications · 2.5K citations

    29

    h-index

  3. Journal of Vision

    26 publications · 1.2K citations

    18

    h-index

  4. Journal of the Optical Society of America A

    19 publications · 1.6K citations

    17

    h-index

  5. Journal of Agricultural and Food Chemistry

    16 publications · 821 citations

    15

    h-index

1–5