Event-based Change Analysis

Event-Based Change Analysis is a methodological framework within Change Trajectory Analysis that identifies and interprets temporal shifts in dynamic systems by isolating discrete events as the primary drivers of change, distinguishing itself from continuous or trend-based approaches through its focus on abrupt, significant occurrences as definitional moments in evolutionary processes.

14

Publications

374

Citations

40

Authors

26

Institutions

Publications per year

2017–2026

1

Authors

40

  1. KH
    Kees Hulsman

    Griffith University, Australia

    1 publications · 11 citations

    1

    h-index

  2. PN
    Peter Nijkamp

    Vrije Universiteit Amsterdam, Netherlands

    1 publications · 13 citations

    1

    h-index

  3. MA
    Maureen A. Walton

    University of Michigan, United States

    1 publications · 94 citations

    1

    h-index

  4. RL
    Regan L. Murray

    University of Michigan, United States

    1 publications · 94 citations

    1

    h-index

  5. RE
    Richard E. Hayes

    Rinicom (United Kingdom), United Kingdom

    1 publications · 15 citations

    1

    h-index

1–5 of 40

Venues

  1. IIASA PURE (International Institute of Applied Systems Analysis)

    Repository · 1 publications · 13 citations

    1

    h-index

  2. Ain Shams Engineering Journal

    1 publications · 13 citations

    1

    h-index

  3. Drug and Alcohol Dependence

    1 publications · 94 citations

    1

    h-index

  4. Plant Ecology

    1 publications · 11 citations

    1

    h-index

  5. International Journal of Qualitative Methods

    IJQM · 1 publications · 21 citations

    1

    h-index

1–5