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Catalysis for the Valorization of Exhaust Carbon: from CO2to Chemicals, Materials, and Fuels. Technological Use of CO2

Aresta, Michele, Dibenedetto, Angela, Angelini, Antonella·2014·Chemical Reviews
DOI 10.1021/cr4002758
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ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTCatalysis for the Valorization of Exhaust Carbon: from CO2 to Chemicals, Materials, and Fuels. Technological Use of CO2Michele Aresta*†, Angela Dibenedetto†‡, and Antonella Angelini†‡View Author Information† CIRCC, Via Celso Ulpiani 27, 70126 Bari, Italy‡ Department of Chemistry, University of Bari, Via Orabona 4, 70125 Bari, Italy*E-mail: [email protected]. Phone: 0039 080 544 2084. Fax: 0039 080 544 3606.Cite this: Chem. Rev. 2014, 114, 3, 1709–1742Publication Date (Web):December 9, 2013Publication History Received20 May 2013Published online9 December 2013Published inissue 12 February 2014https://pubs.acs.org/doi/10.1021/cr4002758https://doi.org/10.1021/cr4002758review-articleACS PublicationsCopyright © 2013 American Chemical SocietyRequest reuse permissionsArticle Views35107Altmetric-Citations2422LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Alcohols,Catalysts,Energy,Inorganic carbon compounds,Organic reactions Get e-Alerts

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Metadata

Authors
Aresta, M., Dibenedetto, A., & Angelini, A.
Venue
Chemical Reviews
Publisher
American Chemical Society (ACS)
Published
2013-12-09
Volume
114
Issue
3
Pages
1709-1742
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
DOI
10.1021/cr4002758
OpenAlex
W2319195884
Cited by
3,143
References
5
FWCI
4.36
Type
journal article
Language
en
Open access
closed

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.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Catalysis for the Valorization of Exhaust Carbon: from CO2to Chemicals, Materials, and Fuels. Technological Use of CO2. https://app.cochat.ai/papers/10.1021/cr4002758
The paper
Aresta, M., Dibenedetto, A., & Angelini, A. (2014). Catalysis for the Valorization of Exhaust Carbon: from CO2to Chemicals, Materials, and Fuels. Technological Use of CO2. Chemical Reviews. https://doi.org/10.1021/cr4002758

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.