How Well Do We Understand and Evaluate Climate Change Feedback Processes?

765 indexed citations

Abstract

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About

This paper, published in 2006, received 765 indexed citations. Written by Sandrine Bony, Robert Colman, V. M. Kattsov, Richard P. Allan, Christopher S. Bretherton, Jean‐Louis Dufresne, Alex Hall, Stéphane Hallegatte, Marika M. Holland and William Ingram covering the research area of Atmospheric Science and Global and Planetary Change. It is primarily cited by scholars working on Global and Planetary Change (703 citations), Atmospheric Science (664 citations) and Oceanography (37 citations). Published in Journal of Climate.

Countries where authors are citing How Well Do We Understand and Evaluate Climate Change Feedback Processes?

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This map shows the geographic impact of How Well Do We Understand and Evaluate Climate Change Feedback Processes?. 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 How Well Do We Understand and Evaluate Climate Change Feedback Processes? with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites How Well Do We Understand and Evaluate Climate Change Feedback Processes? more than expected).

Fields of papers citing How Well Do We Understand and Evaluate Climate Change Feedback Processes?

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of How Well Do We Understand and Evaluate Climate Change Feedback Processes?. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the How Well Do We Understand and Evaluate Climate Change Feedback Processes?.

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/10.1175/jcli3819.1.

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