"11786","8","archive","3170",,,"disk0/00/01/17/86","2021-04-07 06:24:44","2021-04-07 06:24:44","2021-04-07 06:24:44","conference_item",,,"show",,,,"","","","","","","","","","",,,,"Bezak","N","","","","","","",,,,,"","",,,,,"","",,,,,"","","University of Ljubljana, Faculty of civil and geodetic engineering, Ljubljana, Slovenia","Slovenia","A global bibliometric perspective on soil erosion modelling","pub","s2.11","CRPS4","","public",,"paper","Soil Erosion, Modelling",,,"Systematic bibliometric investigations are useful to evaluate and compare the scientific impact of
journal papers, book chapters and conference proceedings. Such studies allow the detection of
emerging research topics, the analyses of cooperation networks, and the collection of in-depth
insights into a specific research topic. In the presented work, we carried out a bibliometric study in
order to obtain an in-depth knowledge on soil erosion modelling applications worldwide.
As a starting point, we used the soil erosion modelling meta-analysis data collection generated by
the authors of this abstract in a joint community effort. This database contains meta-information
of more than 3,000 documents published between 1994 and 2018 that are indexed in the SCOPUS
database. The documents were reviewed and database entries verified. The database contains
various types of meta-information about the modelling studies (e.g., model used, study area, input
data, calibration, etc.). The bibliometric information was also included in the database (e.g.,
number of citations, type of publication, Scopus category, etc.). We investigated differences among
publication types and differences between papers published in journals that are part of various
Scopus categories. Moreover, relationships between publication CiteScore, number of authors,
and number of citations were analyzed. A boosted regression tree model was used to detect the
relative impact of the selected meta-information such as erosion model used, spatial modelling
scale, study period, field activity on the total number of citations. Detailed investigation of the
most cited papers was also conducted. The VOSviewer software was used to analyze citations, cocitations,
bibliographic coupling, and co-authorship networks of the database entries.
Our bibliometric investigations demonstrated that journal publications, on average, receive more
citations than book series or conference proceedings. There were differences among the erosion
models used, and some specific models such as the WaTEM/SEDEM model, on average, receive
more citations than other models (e.g., USLE). It should also be noted that self-citation rates in
case of most frequently used models were similar. Global studies, on average, receive more
citations than studies dealing with plot, regional, or national scales. According to the boosted
regression tree model, model calibration, validation, or field activity do not have significant impact
on the obtained publication citations. Co-citation investigation revealed some interesting patterns.
Our results also indicate that papers about soil erosion modeling also attract citations from
different fields and better international cooperation is needed to advance this field of research
with regard to its visibility and impact on human societies.","2020","published",,"EGU General Assembly 2020",,,,,,,"EGU General Assembly 2020",,"4-8 May 2020","conference","doi:10.5194/egusphere-egu2020-2919",,,,,"TRUE",,,"A global bibliometric perspective on soil erosion modelling",,,,,"","https://doi.org/10.5194/egusphere-egu2020-2919","","",,"","",,,,,,"",,,,,,,"",,,,,"",,,,,"","",,,,,"","",,,,,