Objective Grading Systems

Objective Grading Systems is a formal evaluation framework in meat science that employs standardized, quantifiable metrics and automated technologies to assess meat quality characteristics, thereby distinguishing itself from subjective or sensory-based methods by ensuring consistency, repeatability, and bias reduction in classification outcomes.

156

Publications

11.4K

Citations

638

Authors

257

Institutions

Publications per year

2017–2026

31

Authors

638

  1. RP
    Rod Polkinghorne

    Murdoch University, Australia

    6 publications · 369 citations

    6

    h-index

  2. JJ
    Jean-François J.-F. Hocquette

    Unité Mixte de Recherche sur les Herbivores, France

    4 publications · 175 citations

    4

    h-index

  3. AL
    Akhlesh Lakhtakia

    Pennsylvania State University, United States

    3 publications · 52 citations

    3

    h-index

  4. WE
    W. Eugene Roberts

    Indiana University – Purdue University Indianapolis, United States

    3 publications · 109 citations

    3

    h-index

  5. EA
    Ellen A. BeGole

    University of Illinois Chicago, United States

    3 publications · 223 citations

    3

    h-index

1–5 of 638

Venues

  1. 13

    h-index

  2. The Angle Orthodontist

    11 publications · 578 citations

    11

    h-index

  3. PubMed

    Repository · 10 publications · 402 citations

    10

    h-index

  4. Meat Science

    9 publications · 224 citations

    9

    h-index

  5. Australian Journal of Experimental Agriculture

    5 publications · 348 citations

    5

    h-index

1–5