Data Alignment

Data Alignment is a geospatial data fusion method that integrates heterogeneous spatial datasets into a common reference framework by resolving discrepancies in coordinate systems, temporal scales, and attribute representations to enable coherent analysis.

164

Publications

10.5K

Citations

655

Authors

266

Institutions

Publications per year

2017–2026

61

Authors

655

  1. PP
    Patrick Pantel

    Yahoo (United States), United States

    3 publications · 33 citations

    3

    h-index

  2. AP
    Andrew Philpot

    University of Southern California, United States

    3 publications · 33 citations

    3

    h-index

  3. EH
    Eduard Hovy

    Carnegie Mellon University, United States

    3 publications · 33 citations

    3

    h-index

  4. AN
    Alan N. Steinberg

    Fusion Academy, United States

    3 publications · 100 citations

    3

    h-index

  5. MH
    Mengjie Huang

    Xi’an Jiaotong-Liverpool University, China

    2 publications · 39 citations

    2

    h-index

1–5 of 655

Venues

  1. Analytical Chemistry

    4 publications · 353 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 100 citations

    4

    h-index

  3. IEEE Transactions on Computers

    4 publications · 433 citations

    4

    h-index

  4. Bioinformatics

    4 publications · 2.6K citations

    4

    h-index

  5. IEEE Journal of Solid-State Circuits

    3 publications · 258 citations

    3

    h-index

1–5