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Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study
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“[16] reminds us that the term has been in existence since the 1970s”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [16]
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Metadata
- Authors
- Nobre, G. C., & Tavares, E.
- Affiliations
- Universidade Federal do Rio de Janeiro (BR)
- Corresponding author
- Nobre, Gustavo Cattelan
- Tavares, Elaine
- Venue
- Scientometrics
- Published
- 2017-02-07
- Volume
- 111
- Issue
- 1
- Pages
- 463-492
- ISSN
- 0138-9130 (ISSN-L)
- 1588-2861
- OpenAlex
- W2586281947
- Cited by
- 375
- References
- 68
- Citations by year
- 2026: 18 · 2025: 26 · 2024: 45 · 2023: 47 · 2022: 55 · 2021: 76 · 2020: 45 · 2019: 26 · 2018: 30 · 2017: 7
- FWCI
- 58.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Scientometrics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Keywords
- circular economy, big data, Internet of Things, research trends, research gaps, natural resource scarcity, greenhouse gas emissions, industry initiatives, technology adoption
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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.
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