Visual Impact Prediction

Visual Impact Prediction is a methodological framework within environmental and landscape assessment that systematically forecasts the magnitude and character of visual changes resulting from proposed developments by applying standardized criteria to evaluate spatial, temporal, and perceptual factors unique to a given site.

69

Publications

3.3K

Citations

174

Authors

77

Institutions

Publications per year

2017–2026

20

Authors

174

  1. ID
    Ian D. Bishop

    The University of Melbourne, Australia

    4 publications · 386 citations

    4

    h-index

  2. TT
    Theocharis Tsoutsos

    Technical University of Crete, Greece

    3 publications · 174 citations

    3

    h-index

  3. JH
    Julio Hernández Blanco

    Universidad de Extremadura, Spain

    3 publications · 146 citations

    3

    h-index

  4. MJ
    María Jesús Montero-Parejo

    Universidad de Extremadura, Spain

    2 publications · 26 citations

    2

    h-index

  5. AE
    Arthur E. Stamps

    Institute for Environmental Management, United States

    2 publications · 68 citations

    2

    h-index

1–5 of 174

Venues

  1. Environmental Impact Assessment Review

    5 publications · 327 citations

    5

    h-index

  2. Landscape and Urban Planning

    5 publications · 388 citations

    5

    h-index

  3. Renewable Energy

    4 publications · 187 citations

    4

    h-index

  4. Environment and Planning B Planning and Design

    4 publications · 381 citations

    4

    h-index

  5. Applied Energy

    4 publications · 404 citations

    4

    h-index

1–5