Predicting rainfall-erosion losses from cropland east of the Rocky Mountains

587 indexed citations
published 1965

Countries where authors are citing Predicting rainfall-erosion losses from cropland east of the Rocky Mountains

Specialization
Citations

This map shows the geographic impact of Predicting rainfall-erosion losses from cropland east of the Rocky Mountains. 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 Predicting rainfall-erosion losses from cropland east of the Rocky Mountains with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Predicting rainfall-erosion losses from cropland east of the Rocky Mountains more than expected).

Fields of papers citing Predicting rainfall-erosion losses from cropland east of the Rocky Mountains

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Predicting rainfall-erosion losses from cropland east of the Rocky Mountains. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Predicting rainfall-erosion losses from cropland east of the Rocky Mountains.

About Predicting rainfall-erosion losses from cropland east of the Rocky Mountains

This paper, published in 1965, received 587 indexed citations . Written by W. H. Wischmeier and Dwight D. Smith covering the research area of Soil Science, Earth-Surface Processes and Water Science and Technology. It is primarily cited by scholars working on Soil Science (465 citations), Water Science and Technology (301 citations) and Ecology (265 citations).

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/w45044473.

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