Data Acquisition Pipelines

Data Acquisition Pipelines is a systematic framework that orchestrates the sequential processes of capturing, preprocessing, storing, and managing image data from source to usable format, distinguishing it from ad hoc data collection methods by its automated, structured, and reproducible workflow design.

119

Publications

6.7K

Citations

901

Authors

262

Institutions

Publications per year

2017–2026

58

Authors

901

  1. MC
    M. Caprini

    AGH University of Krakow, Poland

    3 publications · 66 citations

    3

    h-index

  2. PB
    P. Ballester

    European Southern Observatory, Germany

    3 publications · 184 citations

    3

    h-index

  3. EB
    E. Badescu

    Brookhaven National Laboratory, United States

    3 publications · 66 citations

    3

    h-index

  4. AK
    A. Kazarov

    European Organization for Nuclear Research, Switzerland

    3 publications · 66 citations

    3

    h-index

  5. AA
    A. Amorim

    European Organization for Nuclear Research, Switzerland

    3 publications · 66 citations

    3

    h-index

1–5 of 901

Venues

  1. 8

    h-index

  2. 6

    h-index

  3. Bioinformatics

    3 publications · 105 citations

    3

    h-index

  4. Journal of Applied Crystallography

    3 publications · 248 citations

    3

    h-index

  5. Journal of Structural Biology

    2 publications · 971 citations

    2

    h-index

1–5