Warming caused by cumulative carbon emissions towards the trillionth tonne

1.2k indexed citations

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This paper, published in 2009, received 1.2k indexed citations. Written by Myles Allen, David J. Frame, Chris Huntingford, Chris Jones, Jason Lowe, Malte Meinshausen and Nicolai Meinshausen covering the research area of Renewable Energy, Sustainability and the Environment, Economics and Econometrics and Global and Planetary Change. It is primarily cited by scholars working on Economics and Econometrics (562 citations), Global and Planetary Change (521 citations) and Renewable Energy, Sustainability and the Environment (362 citations). Published in Nature.

Countries where authors are citing Warming caused by cumulative carbon emissions towards the trillionth tonne

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This map shows the geographic impact of Warming caused by cumulative carbon emissions towards the trillionth tonne. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Warming caused by cumulative carbon emissions towards the trillionth tonne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warming caused by cumulative carbon emissions towards the trillionth tonne more than expected).

Fields of papers citing Warming caused by cumulative carbon emissions towards the trillionth tonne

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Warming caused by cumulative carbon emissions towards the trillionth tonne. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Warming caused by cumulative carbon emissions towards the trillionth tonne.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1038/nature08019.

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