Impact Classification

Impact Classification is a systematic academic methodology that categorizes research contributions according to their type and significance, distinguishing itself by organizing contributions such as methods, models, frameworks, theories, constructs, datasets, tasks, or metrics within a hierarchical structure based on their direct relationship to the parent topic.

61

Publications

4K

Citations

249

Authors

168

Institutions

Publications per year

2017–2026

40

Authors

249

  1. SK
    Sabrina Kumschick

    Stellenbosch University, South Africa

    15 publications · 2K citations

    14

    h-index

  2. SB
    Sven Bacher

    University of Fribourg, Switzerland

    13 publications · 2K citations

    13

    h-index

  3. TM
    Tim M. Blackburn

    Zoological Society of London, United Kingdom

    9 publications · 1.8K citations

    9

    h-index

  4. PP
    Petr Pyšek

    Czech Academy of Sciences, Institute of Botany, Czechia

    8 publications · 1.7K citations

    8

    h-index

  5. TE
    Thomas Evans

    Zoological Society of London, United Kingdom

    8 publications · 1.2K citations

    8

    h-index

1–5 of 249

Venues

  1. NeoBiota

    12 publications · 410 citations

    11

    h-index

  2. Applied Soft Computing

    2 publications · 91 citations

    2

    h-index

  3. PLoS Biology

    2 publications · 1K citations

    2

    h-index

  4. Scientometrics

    2 publications · 165 citations

    2

    h-index

  5. Sustainability

    2 publications · 237 citations

    2

    h-index

1–5