Mislabelling Detection

Mislabelling Detection is a methodological framework within food authentication that specifically identifies discrepancies between declared and actual origins or compositions of coffee products.

54

Publications

2.8K

Citations

287

Authors

95

Institutions

Publications per year

2017–2026

27

Authors

287

  1. SK
    Stefanos Kollias

    National Technical University of Athens, Greece

    3 publications · 85 citations

    3

    h-index

  2. AD
    Angela Di Pinto

    University of Bari Aldo Moro, Italy

    3 publications · 145 citations

    3

    h-index

  3. AM
    Anna Mottola

    University of Bari Aldo Moro, Italy

    3 publications · 145 citations

    3

    h-index

  4. MS
    Mark Swainson

    University of Lincoln, United Kingdom

    3 publications · 85 citations

    3

    h-index

  5. AE
    Ahmed E. Hassan

    Queen's University, Canada

    2 publications · 195 citations

    2

    h-index

1–5 of 287

Venues

  1. Food Control

    12 publications · 678 citations

    12

    h-index

  2. Scientific Reports

    3 publications · 78 citations

    3

    h-index

  3. PeerJ

    3 publications · 108 citations

    3

    h-index

  4. Journal of Food Science and Technology

    2 publications · 114 citations

    2

    h-index

  5. PubMed

    Repository · 2 publications · 45 citations

    2

    h-index

1–5