Offline Data Processing

Offline Data Processing is a batch processing methodology characterized by the deferred execution of data transformations or computations on datasets that are collected and stored prior to processing, distinguishing it from real-time or online data processing by its reliance on non-immediate, scheduled, and often resource-efficient backend operations.

299

Publications

15.7K

Citations

1.5K

Authors

543

Institutions

Publications per year

2017–2026

141

Authors

1.5K

  1. AA
    A. Asensio‐López

    Universidad Politécnica de Madrid, Spain

    3 publications · 96 citations

    3

    h-index

  2. FI
    Fernando Ibañez Urzaiz

    Universidad Politécnica de Madrid, Spain

    3 publications · 96 citations

    3

    h-index

  3. ÁD
    Álvaro Duque de Quevedo

    Universidad Politécnica de Madrid, Spain

    3 publications · 96 citations

    3

    h-index

  4. JG
    Javier Gismero Menoyo

    Universidad Politécnica de Madrid, Spain

    3 publications · 96 citations

    3

    h-index

  5. TH
    Tian He

    University of Minnesota, United States

    3 publications · 81 citations

    3

    h-index

1–5 of 1.5K

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 642 citations

    12

    h-index

  2. Sensors

    6 publications · 369 citations

    6

    h-index

  3. IEEE Access

    5 publications · 152 citations

    5

    h-index

  4. Journal of Neural Engineering

    5 publications · 1.9K citations

    5

    h-index

  5. IEEE Transactions on Biomedical Engineering

    4 publications · 633 citations

    4

    h-index

1–5