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- W3133989211 abstract "The bibliometric method is a scientific method that uses mathematical and statistical methods to quantitatively analyze all knowledge carriers, which can effectively grasp the subject knowledge context. Controlling slope and watershed erosion has received wide attention from scholars from various countries. So the bibliometric method was employed to evaluate the global scientific production of measures for controlling slope and watershed erosion from 2010 to 2019 and sought the characteristics of publication outputs and tendencies from the articles. The basic data were obtained from the Science Citation Index Expanded from the Web of Science. The several aspects were analysed including document language, annual outputs and distribution of journals, subject, authors, highly cited papers as well as frequency of author keywords. The results showed that annual output of the related scientific articles kept a steady rise from 2013 to 2019. Chinese Academy of Sciences, Northwest A&F University and Ministry Water Resources were mainly research institutes, which have published a lot of articles. In addition, Jean Poesen, from University of Mekelle, was the most productive author who has published 28 articles in the field of controlling slope and watershed erosion. The keywords of articles on controlling slope and watershed erosion were also analysed by using scientometric indexes. By analysing frequency of keywords in 10 periods, the current research emphases were discovered. The result showed that Soil erosion, Runoff and Erosion are the top 3 author keywords in this field. And the soil-erosion always was the top 1 keywords in the research of watershed erosion. Through analysis of the keywords, it can be known that soil erosion in the plains, simulation of erosion, and the impact of climate change on erosion are research hotspots." @default.
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- W3133989211 date "2021-02-01" @default.
- W3133989211 modified "2023-09-27" @default.
- W3133989211 title "A bibliometric analysis of measures for controlling slope and watershed erosion from 2010 to 2019" @default.
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- W3133989211 doi "https://doi.org/10.1088/1755-1315/675/1/012039" @default.
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