Cited by 36Green IT and SustainabilityEnergy Efficiency in ComputingSustainability in Higher Education

Framework proposal for the environmental impact assessment of universities in the context of Green IT

Marques, Carulina, Bachega, Stella Jacyszyn, Tavares, Dalton Matsuo·2019·Journal of Cleaner Production

Integrity signals

Registry

Crossref · 10.1016/j.jclepro.2019.118346

Cites

77 of 77 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Claims other papers make about this one

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Cites

Flagged first, then by citations

1 of the 78 references couldn’t be matched to a known paper.

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Authors
Marques, C., Bachega, S. J., & Tavares, D. M.
Affiliations
Universidade Federal de Goiás (BR)
Corresponding author
Bachega, Stella Jacyszyn
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2019-12
Volume
241
Pages
118346
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2971365171
Cited by
36
References
78
Citations by year
2026: 1 · 2025: 13 · 2024: 7 · 2023: 4 · 2022: 4 · 2021: 5 · 2020: 2
FWCI
0.96
Type
journal article
Language
en
Open access
closed
Locations
Journal of Cleaner Production (publishedVersion)
Funders
Fundação de Amparo à Pesquisa do Estado de Goiás (03/15)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
  • Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
  • Social Sciences › Education › Sustainability in Higher Education
Keywords
green computing, environmental impact assessment, universities, sustainable universities, CO2 emissions, energy consumption, energy costs, computer labs, scenario simulation, environmental indicators

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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