Uncertainty in predictions of the climate response to rising levels of greenhouse gases

857 indexed citations

Abstract

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This paper, published in 2005, received 857 indexed citations. Written by David A. Stainforth, T. Aina, C. Christensen, Matthew Collins, N. Faull, David J. Frame, J. Kettleborough, Sylvia Knight, Andrew Martin and James M. Murphy covering the research area of Atmospheric Science and Global and Planetary Change. It is primarily cited by scholars working on Global and Planetary Change (602 citations), Atmospheric Science (435 citations) and Economics and Econometrics (87 citations). Published in Nature.

Countries where authors are citing Uncertainty in predictions of the climate response to rising levels of greenhouse gases

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Citations

This map shows the geographic impact of Uncertainty in predictions of the climate response to rising levels of greenhouse gases. 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 Uncertainty in predictions of the climate response to rising levels of greenhouse gases with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uncertainty in predictions of the climate response to rising levels of greenhouse gases more than expected).

Fields of papers citing Uncertainty in predictions of the climate response to rising levels of greenhouse gases

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Uncertainty in predictions of the climate response to rising levels of greenhouse gases.

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/nature03301.

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