Omission Detection

Omission Detection is a scholarly methodological process in textual criticism that identifies material absent from a manuscript or source by comparing it against a reconstructed archetype or reference edition to ascertain textual gaps resulting from scribal error, intentional excision, or transmission loss.

36

Publications

1.7K

Citations

151

Authors

70

Institutions

Publications per year

2017–2026

15

Authors

151

  1. TK
    Tibor Kiss

    Ruhr University Bochum, Germany

    1 publications · 15 citations

    1

    h-index

  2. JL
    Jean‐Luc Le Quéré

    Institut Agro Dijon, France

    1 publications · 40 citations

    1

    h-index

  3. HL
    Hongxia Liu

    Nanjing Agricultural University, China

    1 publications · 37 citations

    1

    h-index

  4. MR
    Martin Rolfs

    Humboldt-Universität zu Berlin, Germany

    1 publications · 18 citations

    1

    h-index

  5. JR
    Jochen Reb

    Singapore Management University, Singapore

    1 publications · 143 citations

    1

    h-index

1–5 of 151

Venues

  1. Journal of Agricultural and Food Chemistry

    4 publications · 355 citations

    4

    h-index

  2. Food Chemistry

    3 publications · 139 citations

    3

    h-index

  3. 2

    h-index

  4. Agricultural and Biological Chemistry

    1 publications · 35 citations

    1

    h-index

  5. Anaesthesia and Intensive Care

    1 publications · 23 citations

    1

    h-index

1–5