<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "A global bibliometric perspective on soil erosion modelling"^^ . "Systematic bibliometric investigations are useful to evaluate and compare the scientific impact of\r\njournal papers, book chapters and conference proceedings. Such studies allow the detection of\r\nemerging research topics, the analyses of cooperation networks, and the collection of in-depth\r\ninsights into a specific research topic. In the presented work, we carried out a bibliometric study in\r\norder to obtain an in-depth knowledge on soil erosion modelling applications worldwide.\r\nAs a starting point, we used the soil erosion modelling meta-analysis data collection generated by\r\nthe authors of this abstract in a joint community effort. This database contains meta-information\r\nof more than 3,000 documents published between 1994 and 2018 that are indexed in the SCOPUS\r\ndatabase. The documents were reviewed and database entries verified. The database contains\r\nvarious types of meta-information about the modelling studies (e.g., model used, study area, input\r\ndata, calibration, etc.). The bibliometric information was also included in the database (e.g.,\r\nnumber of citations, type of publication, Scopus category, etc.). We investigated differences among\r\npublication types and differences between papers published in journals that are part of various\r\nScopus categories. Moreover, relationships between publication CiteScore, number of authors,\r\nand number of citations were analyzed. A boosted regression tree model was used to detect the\r\nrelative impact of the selected meta-information such as erosion model used, spatial modelling\r\nscale, study period, field activity on the total number of citations. Detailed investigation of the\r\nmost cited papers was also conducted. The VOSviewer software was used to analyze citations, cocitations,\r\nbibliographic coupling, and co-authorship networks of the database entries.\r\nOur bibliometric investigations demonstrated that journal publications, on average, receive more\r\ncitations than book series or conference proceedings. There were differences among the erosion\r\nmodels used, and some specific models such as the WaTEM/SEDEM model, on average, receive\r\nmore citations than other models (e.g., USLE). It should also be noted that self-citation rates in\r\ncase of most frequently used models were similar. Global studies, on average, receive more\r\ncitations than studies dealing with plot, regional, or national scales. According to the boosted\r\nregression tree model, model calibration, validation, or field activity do not have significant impact\r\non the obtained publication citations. Co-citation investigation revealed some interesting patterns.\r\nOur results also indicate that papers about soil erosion modeling also attract citations from\r\ndifferent fields and better international cooperation is needed to advance this field of research\r\nwith regard to its visibility and impact on human societies."^^ . "2020" . . . . "EGU General Assembly 2020"^^ . . . . . . . . "N"^^ . "Bezak"^^ . "N Bezak"^^ . . . . "EGU General Assembly 2020"^^ . . . . . . "A global bibliometric perspective on soil erosion modelling (PDF)"^^ . . . . . "EGU2020-2919-print.pdf"^^ . . . "A global bibliometric perspective on soil erosion modelling (Other)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #11786 \n\nA global bibliometric perspective on soil erosion modelling\n\n" . "text/html" . . . "Soil Science"@en . .