Global observations of aerosol-cloud-precipitation-climate interactions

362 indexed citations

Abstract

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This paper, published in 2014, received 362 indexed citations. Written by Daniel Rosenfeld, Meinrat O. Andreae, Ari Asmi, Mian Chin, Gerrit de Leeuw, David P. Donovan, Ralph A. Kahn, Stefan Kinne, Niku Kivekäs and Markku Kulmala covering the research area of Atmospheric Science and Global and Planetary Change. It is primarily cited by scholars working on Global and Planetary Change (330 citations), Atmospheric Science (324 citations) and Health, Toxicology and Mutagenesis (42 citations). Published in Reviews of Geophysics.

Countries where authors are citing Global observations of aerosol-cloud-precipitation-climate interactions

Specialization
Citations

This map shows the geographic impact of Global observations of aerosol-cloud-precipitation-climate interactions. 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 Global observations of aerosol-cloud-precipitation-climate interactions with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Global observations of aerosol-cloud-precipitation-climate interactions more than expected).

Fields of papers citing Global observations of aerosol-cloud-precipitation-climate interactions

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Global observations of aerosol-cloud-precipitation-climate interactions. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Global observations of aerosol-cloud-precipitation-climate interactions.

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/10.1002/2013rg000441.

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