Image Quality Assessment

Image Quality Assessment is a methodological subfield of diagnostic imaging that develops and applies qualitative and quantitative criteria, observer studies, and computational metrics to evaluate how well an acquired image reproduces anatomically and clinically relevant structures for accurate diagnosis.

11K

Publications

690.6K

Citations

36K

Authors

5.9K

Institutions

Publications per year

2017–2026

3.9K

Authors

36K

  1. AC
    Alan C. Bovik

    The University of Texas at Austin, United States

    136 publications · 114K citations

    69

    h-index

  2. WL
    Weisi Lin

    Nanyang Technological University, Singapore

    159 publications · 15K citations

    63

    h-index

  3. GZ
    Guangtao Zhai

    Shanghai Jiao Tong University, China

    118 publications · 11.7K citations

    52

    h-index

  4. ZW
    Zhou Wang

    University of Waterloo, Canada

    89 publications · 84.6K citations

    46

    h-index

  5. KG
    Ke Gu

    Shanghai Jiao Tong University, China

    86 publications · 8.7K citations

    46

    h-index

1–5 of 36K

Venues

  1. IEEE Transactions on Image Processing

    268 publications · 118.6K citations

    105

    h-index

  2. Medical Physics

    469 publications · 26.8K citations

    81

    h-index

  3. Radiology

    243 publications · 23.3K citations

    79

    h-index

  4. American Journal of Roentgenology

    AJR · 218 publications · 12.9K citations

    59

    h-index

  5. 58

    h-index

1–5