Emissions Data Quality

Emissions Data Quality is a scholarly construct that denotes the degree to which greenhouse gas emissions measurements, specifically within Scope 1, conform to established criteria of accuracy, completeness, consistency, comparability, and transparency for scientific and regulatory utility.

31

Publications

1.7K

Citations

96

Authors

55

Institutions

Publications per year

2017–2026

15

Authors

96

  1. AD
    A. Denny Ellerman

    Massachusetts Institute of Technology, United States

    4 publications · 646 citations

    4

    h-index

  2. BB
    B. Büchner

    Leibniz Institute for Solid State and Materials Research, Germany

    2 publications · 43 citations

    2

    h-index

  3. DZ
    Da Zhang

    Beijing Normal University, China

    1 publications · 26 citations

    2

    h-index

  4. FC
    Felix Creutzig

    Mercator Research Institute on Global Commons and Climate Change, Germany

    1 publications · 104 citations

    1

    h-index

  5. SD
    Shobhakar Dhakal

    Asian Institute of Technology, Thailand

    1 publications · 104 citations

    1

    h-index

1–5 of 96

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 162 citations

    2

    h-index

  2. 2

    h-index

  3. Journal of Environmental Management

    2 publications · 36 citations

    2

    h-index

  4. Atmosphere

    1 publications · 12 citations

    1

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 1 publications · 29 citations

    1

    h-index

1–5