Psychometric Function Analysis

Psychometric Function Analysis is a statistical method used in psychophysics to model the relationship between a participant's performance on a sensory or cognitive task and the physical properties of stimuli, specifically by characterizing the probability of detection or discrimination as a function of stimulus intensity.

493

Publications

43.1K

Citations

1.5K

Authors

715

Institutions

Publications per year

2017–2026

93

Authors

1.5K

  1. DM
    David M. Green

    McGill University, Canada

    8 publications · 417 citations

    8

    h-index

  2. MA
    Miguel A. García‐Pérez

    Universidad Complutense de Madrid, Spain

    8 publications · 327 citations

    8

    h-index

  3. BS
    B. Saletu

    University of Vienna, Austria

    5 publications · 67 citations

    5

    h-index

  4. RA
    Rocío Alcalá‐Quintana

    Universidad Complutense de Madrid, Spain

    5 publications · 206 citations

    5

    h-index

  5. JR
    Judy R. Dubno

    Medical University of South Carolina, United States

    5 publications · 227 citations

    5

    h-index

1–5 of 1.5K

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 34 publications · 1.7K citations

    23

    h-index

  2. Journal of Vision

    16 publications · 1.6K citations

    16

    h-index

  3. PubMed

    Repository · 14 publications · 530 citations

    12

    h-index

  4. Perception & Psychophysics

    8 publications · 439 citations

    8

    h-index

  5. Vision Research

    8 publications · 931 citations

    8

    h-index

1–5