Cognate Coding

Cognate Coding is a scholarly methodological contribution that systematically identifies, classifies, and represents linguistic cognates within comparative language analysis by applying structured encoding rules to trace historical relationships and semantic developments across related languages.

22

Publications

1.6K

Citations

93

Authors

62

Institutions

Publications per year

2017–2026

7

Authors

93

  1. RB
    Remco Bouckaert

    University of Auckland, New Zealand

    2 publications · 185 citations

    2

    h-index

  2. HL
    Henrik Liljegren

    Stockholm University, Sweden

    1 publications · 129 citations

    1

    h-index

  3. GK
    Ganesh Kumar Gupta

    Pontificia Universidad Católica del Perú, Peru

    1 publications · 129 citations

    1

    h-index

  4. CL
    Chuchu Li

    University of California San Diego, United States

    1 publications · 38 citations

    1

    h-index

  5. JL
    Johann‐Mattis List

    Max Planck Institute for the Science of Human History, Germany

    1 publications · 16 citations

    1

    h-index

1–5 of 93

Venues

  1. Memory & Cognition

    2 publications · 325 citations

    2

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  2. Language Dynamics and Change

    2 publications · 42 citations

    2

    h-index

  3. Science

    1 publications · 129 citations

    1

    h-index

  4. Cognition

    1 publications · 418 citations

    1

    h-index

  5. Defense Technical Information Center (DTIC)

    Repository · 1 publications · 13 citations

    1

    h-index

1–5