Assay Data Quality Control

Assay Data Quality Control is a methodological framework within the domain of mineral resource evaluation that ensures the accuracy, precision, and reliability of geochemical assay data by systematically identifying and minimizing analytical errors, contamination, and sampling biases throughout the assaying process.

63

Publications

5.5K

Citations

333

Authors

150

Institutions

Publications per year

2017–2026

13

Authors

333

  1. JS
    Jean S. Kane

    Kaneka (United States), United States

    3 publications · 68 citations

    3

    h-index

  2. GA
    G. A. Berg

    University of Groningen, Netherlands

    3 publications · 127 citations

    3

    h-index

  3. MT
    Michael Thompson

    Birkbeck, University of London, United Kingdom

    3 publications · 157 citations

    3

    h-index

  4. HG
    Hanspeter Gubler

    Novartis (Switzerland), Switzerland

    3 publications · 155 citations

    3

    h-index

  5. MR
    M. R. Halie

    University of Groningen, Netherlands

    3 publications · 127 citations

    3

    h-index

1–5 of 333

Venues

  1. Geostandards and Geoanalytical Research

    4 publications · 94 citations

    4

    h-index

  2. Clinical Chemistry

    4 publications · 129 citations

    4

    h-index

  3. SLAS DISCOVERY

    3 publications · 241 citations

    3

    h-index

  4. BMC Bioinformatics

    3 publications · 2.3K citations

    3

    h-index

  5. The Analyst

    2 publications · 128 citations

    2

    h-index

1–5