Long-term (1990–2019) monitoring of forest cover changes in the humid tropics
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- Science Advances
In The Last Decade
doi.org/10.1126/sciadv.abe1603 →Countries where authors are citing Long-term (1990–2019) monitoring of forest cover changes in the humid tropics
This map shows the geographic impact of Long-term (1990–2019) monitoring of forest cover changes in the humid tropics. 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 Long-term (1990–2019) monitoring of forest cover changes in the humid tropics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long-term (1990–2019) monitoring of forest cover changes in the humid tropics more than expected).
Fields of papers citing Long-term (1990–2019) monitoring of forest cover changes in the humid tropics
This network shows the impact of Long-term (1990–2019) monitoring of forest cover changes in the humid tropics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Long-term (1990–2019) monitoring of forest cover changes in the humid tropics.
About Long-term (1990–2019) monitoring of forest cover changes in the humid tropics
This paper, published in 2021, received 313 indexed citations . Written by Christelle Vancutsem, Frédéric Achard, Jean‐François Pekel, Ghislain Vieilledent, Silvia Carboni, Dario Simonetti, Javier Gallego, Luiz E. O. C. Aragão and Robert Nasi covering the research area of Ecology and Global and Planetary Change. It is primarily cited by scholars working on Global and Planetary Change (210 citations), Ecology (124 citations) and Nature and Landscape Conservation (69 citations). Published in Science Advances.
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/sciadv.abe1603.