Adjacency Heuristics

Adjacency Heuristics is a methodological framework within adjacency analysis that employs empirically derived rules to identify and prioritize relationships between entities based on their structural proximity and contextual co-occurrence in a given domain.

2

Publications

154

Citations

4

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

4

  1. JM
    Jürgen Merker

    Heraeus (Germany), Germany

    1 publications · 20 citations

    1

    h-index

  2. GW
    Gerhard Wäscher

    Otto-von-Guericke-Universität Magdeburg, Germany

    1 publications · 20 citations

    1

    h-index

  3. MJ
    Manuel J. Fonseca

    Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal

    1 publications · 134 citations

    1

    h-index

  4. JJ
    Joaquim Jorge

    Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal

    1 publications · 134 citations

    1

    h-index

1–4 of 4

Institutions

2

  1. Association for Computing Machinery

    New York, United States

    1 h-index

    1 publications

    134 citations

  2. Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento

    Lisbon, Portugal

    1 h-index

    1 publications

    134 citations

1–2 of 2

Venues

  1. International Journal of Production Research

    1 publications · 20 citations

    1

    h-index

  2. Sygeplejersken

    1 publications · 134 citations

    1

    h-index

1–2