Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections
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Countries where authors are citing Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections
This map shows the geographic impact of Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections. 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 Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections more than expected).
Fields of papers citing Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections
This network shows the impact of Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections.
About Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections
This paper, published in 2013, received 1.2k indexed citations . Written by Jana Sillmann, Viatcheslav Kharin, Francis W. Zwiers, Xuebin Zhang and David Bronaugh covering the research area of Global and Planetary Change and Atmospheric Science. It is primarily cited by scholars working on Global and Planetary Change (1.1k citations), Atmospheric Science (741 citations), Ecology, Evolution, Behavior and Systematics (194 citations), Water Science and Technology (137 citations) and Health, Toxicology and Mutagenesis (86 citations). Published in Journal of Geophysical Research Atmospheres.
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/10.1002/jgrd.50188.