Personalized Mapping

Personalized Mapping is a methodological framework within interactive mapping that integrates user-specific preferences, behaviors, or contextual data to dynamically tailor spatial representations, distinguishing it from generic or one-size-fits-all mapping approaches.

17

Publications

493

Citations

67

Authors

26

Institutions

Publications per year

2017–2026

5

Authors

67

  1. MB
    Michela Bertolotto

    University College Dublin, Ireland

    4 publications · 119 citations

    4

    h-index

  2. JW
    Joe Weakliam

    University of North Carolina at Charlotte, United States

    3 publications · 93 citations

    3

    h-index

  3. DC
    David C. Wilson

    University of North Carolina at Charlotte, United States

    3 publications · 93 citations

    3

    h-index

  4. AR
    Amon Rapp

    University of Turin, Italy

    2 publications · 26 citations

    2

    h-index

  5. HO
    Hiroaki Ogata

    Tokushima University, Japan

    2 publications · 157 citations

    2

    h-index

1–5 of 67

Venues

  1. Neurochirurgie

    1 publications · 14 citations

    1

    h-index

  2. IEEE Robotics and Automation Letters

    1 publications · 31 citations

    1

    h-index

  3. ISPRS International Journal of Geo-Information

    IJGI · 1 publications · 19 citations

    1

    h-index

  4. Communications of the ACM

    1 publications · 26 citations

    1

    h-index

  5. International Journal of Web Engineering and Technology

    IJWET · 1 publications · 18 citations

    1

    h-index

1–5