Fuzzy Boundaries

Fuzzy Boundaries is a conceptual framework within spatial uncertainty visualization that models the indeterminate edges of geographic or categorical phenomena by representing them as gradual transitions rather than crisp delineations, thereby accounting for inherent ambiguities in spatial data classification and interpretation.

276

Publications

17.3K

Citations

702

Authors

406

Institutions

Publications per year

2017–2026

82

Authors

702

  1. MS
    Markus Schneider

    University of Florida, United States

    5 publications · 129 citations

    5

    h-index

  2. PK
    Punam K. Saha

    University of Pennsylvania, United States

    4 publications · 430 citations

    4

    h-index

  3. DF
    Dagan Feng

    The University of Sydney, Australia

    4 publications · 606 citations

    4

    h-index

  4. WS
    Wenzhong Shi

    Hong Kong Polytechnic University, Hong Kong SAR China

    3 publications · 148 citations

    3

    h-index

  5. JK
    Jayaram K. Udupa

    University of Pennsylvania, United States

    3 publications · 383 citations

    3

    h-index

1–5 of 702

Venues

  1. Fuzzy Sets and Systems

    11 publications · 436 citations

    11

    h-index

  2. 7

    h-index

  3. IEEE Access

    7 publications · 614 citations

    7

    h-index

  4. IEEE Transactions on Image Processing

    5 publications · 310 citations

    5

    h-index

  5. IEEE Transactions on Fuzzy Systems

    TFS · 4 publications · 801 citations

    4

    h-index

1–5