Soil erosion modelling: A bibliometric analysis
2021
Bezak, Nejc | Mikoš, Matjaž | Borrelli, Pasquale | Alewell, Christine | Alvarez, Pablo | Anache, Jamil Alexandre Ayach | Baartman, Jantiene | Ballabio, Cristiano | Biddoccu, Marcella | Cerdà, Artemi | Chalise, Devraj | Chen, Songchao | Chen, Walter | de Girolamo, Anna Maria | Gessesse, Gizaw Desta | Deumlich, Detlef | Diodato, Nazzareno | Efthimiou, Nikolaos | Erpul, Gunay | Fiener, Peter | Freppaz, Michele | Gentile, Francesco | Gericke, Andreas | Haregeweyn, Nigussie | Hu, Bifeng | Jeanneau, Amelie | Kaffas, Konstantinos | Kiani-Harchegani, Mahboobeh | Villuendas, Ivan Lizaga | Li, Changjia | Lombardo, Luigi | López-Vicente, Manuel | Lucas-Borja, Manuel Esteban | Maerker, Michael | Miao, Chiyuan | Modugno, Sirio | Möller, Markus | Naipal, Victoria | Nearing, Mark | Owusu, Stephen | Panday, Dinesh | Patault, Edouard | Patriche, Cristian Valeriu | Poggio, Laura | Portes, Raquel | Quijano, Laura | Rahdari, Mohammad Reza | Renima, Mohammed | Ricci, Giovanni Francesco | Rodrigo-Comino, Jesús | Saia, Sergio | Samani, Aliakbar Nazari | Schillaci, Calogero | Syrris, Vasileios | Kim, Hyuck Soo | Spinola, Diogo Noses | Oliveira, Paulo Tarso | Teng, Hongfen | Thapa, Resham | Vantas, Konstantinos | Vieira, Diana | Yang, Jae | Yin, Shuiqing | Zema, Demetrio Antonio | Zhao, Guangju | Panagos, Panos | University of Ljubljana | Università degli Studi di Pavia [Italia] = University of Pavia [Italy] = Université de Pavie [Italie] (UNIPV) | Kangwon National University | Université de Bâle = University of Basel = Basel Universität (Unibas) | Karlsruhe Institute of Technology = Karlsruher Institut für Technologie (KIT) | Universidad Nacional de Loja = National University of Loja (UNL) | Universidade de São Paulo = University of São Paulo (USP) | Sao Carlos School of engineering [São Paulo] ; Universidade de São Paulo = University of São Paulo (USP) | Wageningen University and Research [Wageningen] (WUR) | European Commission - Joint Research Centre [Ispra] (JRC) | National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR) | Universitat de València = University of Valencia (UV) | University of New England (UNE) | InfoSol (InfoSol) ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | National Taipei University of technology [Taipei] (TAIPEI TECH) ; National Taipei University of Technology | CNR Water Research Institute (IRSA) ; National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR) | International Crops Research Institute for the Semi-Arid Tropics [Inde] (ICRISAT) ; Consultative Group on International Agricultural Research [CGIAR] (CGIAR) | Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF) | Met European Research Observatory (MetEROBS) | Czech University of Life Sciences Prague (CZU) | Ankara University = Ankara Üniversitesi | Universität Augsburg [Deutschland] = University of Augsburg [Germany] = Université d'Augsburg [Allemagne] (UNIA) | Università degli studi di Torino = University of Turin (UNITO) | Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA) | Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) | Tottori University | Jiangxi University of Finance and Economics (JUFE) | University of Adelaide | Free University of Bozen-Bolzano | Yazd University | Estación Experimental de Aula Dei (EEAD) ; Consejo Superior de Investigaciones Cientificas [España] = Spanish National Research Council [Spain] (CSIC) | Beijing Normal University (BNU) | University of Twente | Wageningen Environmental Research (Alterra) | Universidad de Castilla-La Mancha = University of Castilla-La Mancha (UCLM) | World Food Programme (WFP) ; United Nations | University of Leicester | Julius Kühn-Institut (JKI) | Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay) | Southwest Watershed Research Center: Tucson, AZ ; USDA-ARS : Agricultural Research Service | Soil Research Institute, Council for Scientific and Industrial Research (SRI-CSIR) | University of Nebraska–Lincoln ; University of Nebraska System | Morphodynamique Continentale et Côtière (M2C) ; Université de Caen Normandie (UNICAEN) ; Normandie Université (NU)-Normandie Université (NU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rouen Normandie (UNIROUEN) ; Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS) | Romanian Academy | World Soil Information (ISRIC) | Universidade do Estado de Minas Gerais = Minas Gerais State University (UEMG) | Université Catholique de Louvain = Catholic University of Louvain (UCL) | University of Torbat Heydarieh (UTH) | Université Hassiba Benbouali of Chlef = Hassiba Benbouali University of Chlef | Trier University of Applied Sciences | University of Pisa [Italy] = Università di Pisa [Italia] = Université de Pise [Italie] (UniPi) | University of Tehran | Università degli Studi di Milano = University of Milan (UNIMI) | University of Alaska [Fairbanks] (UAF) | Universidade Federal de Mato Grosso (UFMT) | Wuhan Institute of Technology (WIT) | University of Maryland [Baltimore] (UMB) | Aristotle University of Thessaloniki | CIDMA - University of Aveiro | Universita Mediterranea of Reggio Calabria [Reggio Calabria] | Northwest A & F University
(IF 8.43; Q1)
اظهر المزيد [+] اقل [-]International audience
اظهر المزيد [+] اقل [-]إنجليزي. Soil erosion can present a major threat to agriculture due to loss of soil, nutrients, and organic carbon. Therefore, soil erosion modelling is one of the steps used to plan suitable soil protection measures and detect erosion hotspots. A bibliometric analysis of this topic can reveal research patterns and soil erosion modelling characteristics that can help identify steps needed to enhance the research conducted in this field. Therefore, a detailed bibliometric analysis, including investigation of collaboration networks and citation patterns, should be conducted. The updated version of the Global Applications of Soil Erosion Modelling Tracker (GASEMT) database contains information about citation characteristics and publication type. Here, we investigated the impact of the number of authors, the publication type and the selected journal on the number of citations. Generalized boosted regression tree (BRT) modelling was used to evaluate the most relevant variables related to soil erosion modelling. Additionally, bibliometric networks were analysed and visualized. This study revealed that the selection of the soil erosion model has the largest impact on the number of publication citations, followed by the modelling scale and the publication's CiteScore. Some of the other GASEMT database attributes such as model calibration and validation have negligible influence on the number of citations according to the BRT model. Although it is true that studies that conduct calibration, on average, received around 30% more citations, than studies where calibration was not performed. Moreover, the bibliographic coupling and citation networks show a clear continental pattern, although the co-authorship network does not show the same characteristics. Therefore, soil erosion modellers should conduct even more comprehensive review of past studies and focus not just on the research conducted in the same country or continent. Moreover, when evaluating soil erosion models, an additional focus should be given to field measurements, model calibration, performance assessment and uncertainty of modelling results. The results of this study indicate that these GASEMT database attributes had smaller impact on the number of citations, according to the BRT model, than anticipated, which could suggest that these attributes should be given additional attention by the soil erosion modelling community. This study provides a kind of bibliographic benchmark for soil erosion modelling research papers as modellers can estimate the influence of their paper.
اظهر المزيد [+] اقل [-]المعلومات البيبليوغرافية
تم تزويد هذا السجل من قبل Institut national de la recherche agronomique