Many-to-one Mapping

Many-To-One Mapping is a terminology mapping relation that belongs to the class of cardinality-based mapping types, distinguished by the alignment of multiple source terms or concepts to a single target term or concept within a unified referential framework.

168

Publications

17.7K

Citations

536

Authors

260

Institutions

Publications per year

2017–2026

65

Authors

536

  1. ES
    Eli Shechtman

    Adobe Systems (United States), United States

    3 publications · 1.3K citations

    3

    h-index

  2. RZ
    Richard Zhang

    Adobe Systems (United States), United States

    3 publications · 1.3K citations

    3

    h-index

  3. DP
    Deepak Pathak

    University of California, Berkeley, United States

    3 publications · 1.3K citations

    3

    h-index

  4. MH
    Martin Harrigan

    University College Dublin, Ireland

    3 publications · 634 citations

    3

    h-index

  5. TD
    Trevor Darrell

    University of California, Berkeley, United States

    3 publications · 1.3K citations

    3

    h-index

1–5 of 536

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 1.7K citations

    12

    h-index

  2. IEEE Transactions on Neural Networks

    4 publications · 91 citations

    4

    h-index

  3. Transactions of the American Mathematical Society

    TRAN · 3 publications · 172 citations

    3

    h-index

  4. Journal of Lightwave Technology

    2 publications · 36 citations

    2

    h-index

  5. IEEE Transactions on Image Processing

    2 publications · 245 citations

    2

    h-index

1–5