Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review

343 indexed citations

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This paper, published in 2019, received 343 indexed citations. Written by Sushil Lamichhane, Lalit Kumar and Brian Wilson covering the research area of Soil Science, Artificial Intelligence and Environmental Engineering. It is primarily cited by scholars working on Environmental Engineering (275 citations), Soil Science (191 citations) and Artificial Intelligence (108 citations). Published in Geoderma.

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This map shows the geographic impact of Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review. 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 Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review more than expected).

Fields of papers citing Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review.

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This paper is also available at doi.org/10.1016/j.geoderma.2019.05.031.

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