The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink
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In The Last Decade
doi.org/10.1126/science.aaa1668 →Countries where authors are citing The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink
This map shows the geographic impact of The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink. 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 The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink more than expected).
Fields of papers citing The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink
This network shows the impact of The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink.
About The dominant role of semi-arid ecosystems in the trend and variability of the land CO 2 sink
This paper, published in 2015, received 1.1k indexed citations . Written by Anders Ahlström, Michael Raupach, Guy Schurgers, Benjamin Smith, Almut Arneth, Martin Jung, Markus Reichstein, Josep G. Canadell, Pierre Friedlingstein and Atul K. Jain covering the research area of Global and Planetary Change. It is primarily cited by scholars working on Global and Planetary Change (898 citations), Ecology (363 citations), Atmospheric Science (246 citations), Nature and Landscape Conservation (182 citations) and Soil Science (165 citations). Published in Science.
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/10.1126/science.aaa1668.