Environment Matching

Environment Matching is a methodological framework in provenance variation research that systematically aligns computational model configurations with specific environmental conditions to ensure validity and reproducibility across diverse execution contexts.

17

Publications

884

Citations

55

Authors

31

Institutions

Publications per year

2017–2026

5

Authors

55

  1. TJ
    Thomas J. Stohlgren

    Colorado State University, United States

    2 publications · 239 citations

    2

    h-index

  2. CS
    Catherine S. Jarnevich

    United States Geological Survey, United States

    2 publications · 239 citations

    2

    h-index

  3. JT
    Jolyon Troscianko

    University of Exeter, United Kingdom

    1 publications · 36 citations

    1

    h-index

  4. CS
    Cezary Specht

    Gdynia Maritime University, Poland

    1 publications · 14 citations

    1

    h-index

  5. HS
    Hiroko Sukeda

    Hitachi (Japan), Japan

    1 publications · 19 citations

    1

    h-index

1–5 of 55

Venues

  1. Biology Letters

    1 publications · 36 citations

    1

    h-index

  2. Oikos

    1 publications · 30 citations

    1

    h-index

  3. IEEE Transactions on Consumer Electronics

    1 publications · 19 citations

    1

    h-index

  4. Restoration Ecology

    1 publications · 99 citations

    1

    h-index

  5. Diversity

    1 publications · 17 citations

    1

    h-index

1–5