Data Parsing

Data Parsing is the computational process of analyzing and converting raw data inputs into structured, interpretable formats by identifying and organizing their syntactic elements according to predefined rules or schemas.

160

Publications

9K

Citations

415

Authors

186

Institutions

Publications per year

2017–2026

36

Authors

415

  1. KF
    Kathleen Fisher

    AT&T (United States), United States

    9 publications · 487 citations

    9

    h-index

  2. DW
    David Walker

    Princeton University, United States

    7 publications · 279 citations

    7

    h-index

  3. RB
    Rens Bod

    University of Amsterdam, Netherlands

    6 publications · 375 citations

    6

    h-index

  4. MG
    Matt Gardner

    Allen Institute for Artificial Intelligence, United States

    4 publications · 365 citations

    4

    h-index

  5. BB
    Ben Bogin

    Tel Aviv University, Israel

    4 publications · 365 citations

    4

    h-index

1–5 of 415

Venues

  1. ACM SIGPLAN Notices

    5 publications · 215 citations

    5

    h-index

  2. Data Archiving and Networked Services (DANS)

    Repository · 5 publications · 266 citations

    5

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 180 citations

    4

    h-index

  4. Communications of the ACM

    3 publications · 107 citations

    3

    h-index

  5. Journal of Proteome Research

    JPR · 2 publications · 32 citations

    2

    h-index

1–5