Aspect Derivation

Aspect Derivation is a scholarly contribution in the field of aspect analysis that constitutes a novel method, model, framework, theory, construct, dataset, task, or metric specifically formulated to identify, extract, or infer aspects from a given domain, thereby distinguishing it from general analytical approaches by its focused generative or inferential role in aspect-oriented research.

8

Publications

419

Citations

15

Authors

7

Institutions

Publications per year

2017–2026

3

Authors

15

  1. RM
    Rafael Marín

    Université de Lille, France

    1 publications · 79 citations

    1

    h-index

  2. CH
    Carlos Henrique Grohmann

    Universidade de São Paulo, Brazil

    1 publications · 98 citations

    1

    h-index

  3. BJ
    Bonnie J. Dorr

    University of Maryland, College Park, United States

    1 publications · 35 citations

    1

    h-index

  4. AF
    Antonio Fábregas

    UiT The Arctic University of Norway, Norway

    1 publications · 79 citations

    1

    h-index

  5. GL
    Geraldo Lúcio Tiago Filho

    Universidade Federal de Itajubá, Brazil

    1 publications · 48 citations

    1

    h-index

1–5 of 15

Venues

  1. Journal of Analytical Psychology

    1 publications · 10 citations

    1

    h-index

  2. Computers & Geosciences

    CAGEO · 1 publications · 98 citations

    1

    h-index

  3. The Knowledge Bank (The Ohio State University)

    Repository · 1 publications · 16 citations

    1

    h-index

  4. Renewable and Sustainable Energy Reviews

    1 publications · 48 citations

    1

    h-index

  5. The Journal of Object Technology

    JOT · 1 publications · 52 citations

    1

    h-index

1–5