Soil erosion modelling: A bibliometric analysis
2 UNIPV - Università degli Studi di Pavia [Italia] = University of Pavia [Italy] = Université de Pavie [Italie]
3 Kangwon National University
4 Unibas - Université de Bâle = University of Basel = Basel Universität
5 KIT - Karlsruhe Institute of Technology = Karlsruher Institut für Technologie
6 UNL - Universidad Nacional de Loja = National University of Loja
7 USP - Universidade de São Paulo = University of São Paulo
8 EESC-USP - São Carlos School of Engineering [University of São Paulo]
9 WUR - Wageningen University and Research [Wageningen]
10 JRC - European Commission - Joint Research Centre [Ispra]
11 CNR - National Research Council of Italy | Consiglio Nazionale delle Ricerche
12 UV - Universitat de València = University of Valencia = Universidade de Valencia
13 UNE - University of New England
14 InfoSol - InfoSol
15 Tapei Tech - National Taipei University of Technology
16 IRSA - CNR Water Research Institute
17 ICRISAT - International Crops Research Institute for the Semi-Arid Tropics [Inde]
18 ZALF - Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research
19 MetEROBS - Met European Research Observatory
20 CZU - Czech University of Life Sciences Prague
21 Ankara University = Ankara Üniversitesi
22 UNIA - Universität Augsburg [Deutschland] = University of Augsburg [Germany] = Université d'Augsbourg [Allemagne]
23 UNITO - Università degli studi di Torino = University of Turin
24 UNIBA - Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro
25 IGB - Leibniz Institute of Freshwater Ecology and Inland Fisheries
26 Tottori University
27 JUFE - Jiangxi University of Finance and Economics
28 University of Adelaide
29 Free University of Bozen-Bolzano
30 Yazd University
31 EEAD - Estación Experimental de Aula Dei
32 BNU - Beijing Normal University
33 University of Twente
34 Wageningen Environmental Research (Alterra)
35 UCLM - Universidad de Castilla-La Mancha = University of Castilla-La Mancha
36 WFP - World Food Programme
37 University of Leicester
38 JKI - Julius Kühn-Institut
39 ENS Paris Saclay - Ecole Normale Supérieure Paris-Saclay
40 Southwest Watershed Research Center: Tucson, AZ
41 SRI-CSIR - Soil Research Institute, Council for Scientific and Industrial Research
42 University of Nebraska–Lincoln
43 M2C - Morphodynamique Continentale et Côtière
44 Romanian Academy
45 ISRIC - World Soil Information
46 UEMG - Universidade do Estado de Minas Gerais = Minas Gerais State University
47 UCLouvain - Université Catholique de Louvain = Catholic University of Louvain
48 UTH - University of Torbat Heydarieh
49 Université Hassiba Benbouali of Chlef = Hassiba Benbouali University of Chlef
50 Trier University of Applied Sciences
51 UniPi - University of Pisa [Italy] = Università di Pisa [Italia] = Université de Pise [Italie]
52 University of Tehran
53 UNIMI - Università degli Studi di Milano = University of Milan
54 UAF - University of Alaska [Fairbanks]
55 UFMT - Universidade Federal de Mato Grosso
56 WIT - Wuhan Institute of Technology
57 UMB - University of Maryland [Baltimore]
58 Aristotle University of Thessaloniki
59 CIDMA - University of Aveiro
60 Universita Mediterranea of Reggio Calabria [Reggio Calabria]
61 Northwest A & F University
- Fonction : Auteur
- PersonId : 792362
- ORCID : 0000-0002-8488-4370
- Fonction : Auteur
- PersonId : 792914
- ORCID : 0000-0001-6051-8619
- Fonction : Auteur
- PersonId : 784210
- ORCID : 0000-0001-7452-9271
- Fonction : Auteur
- PersonId : 818322
- ORCID : 0000-0001-5030-7260
- Fonction : Auteur
- PersonId : 762537
- ORCID : 0000-0001-6926-0837
- Fonction : Auteur
- PersonId : 784255
- ORCID : 0000-0001-6244-4705
- Fonction : Auteur
- PersonId : 768016
- ORCID : 0000-0002-2853-5643
- Fonction : Auteur
- PersonId : 801107
- ORCID : 0000-0002-9083-947X
- Fonction : Auteur
- PersonId : 784156
- ORCID : 0000-0001-9353-0307
- Fonction : Auteur
- PersonId : 818323
- ORCID : 0000-0002-1168-4343
- Fonction : Auteur
- PersonId : 818324
- ORCID : 0000-0003-1398-4371
- Fonction : Auteur
- PersonId : 818325
- ORCID : 0000-0003-4372-5901
- Fonction : Auteur
- PersonId : 807088
- ORCID : 0000-0001-6413-7020
- Fonction : Auteur
- PersonId : 818326
- ORCID : 0000-0001-8452-3797
- Fonction : Auteur
- PersonId : 15897
- IdHAL : edouard-patault
- ORCID : 0000-0001-7089-9881
- IdRef : 232654921
- Fonction : Auteur
- PersonId : 759058
- ORCID : 0000-0003-4970-0860
- Fonction : Auteur
- PersonId : 818327
- ORCID : 0000-0003-2673-4232
- Fonction : Auteur
- PersonId : 818328
- ORCID : 0000-0001-9048-0930
- Fonction : Auteur
- PersonId : 818329
- ORCID : 0000-0001-6724-8789
- Fonction : Auteur
- PersonId : 818330
- ORCID : 0000-0001-7689-5697
- Fonction : Auteur
- PersonId : 818331
- ORCID : 0000-0002-2262-0580
- Fonction : Auteur
- PersonId : 818332
- ORCID : 0000-0003-3525-9461
- Fonction : Auteur
- PersonId : 818333
- ORCID : 0000-0003-2806-0083
- Fonction : Auteur
- PersonId : 818334
- ORCID : 0000-0002-0059-764X
- Fonction : Auteur
- PersonId : 805457
- ORCID : 0000-0001-8641-6442
- Fonction : Auteur
- PersonId : 818335
- ORCID : 0000-0001-6914-6006
- Fonction : Auteur
- PersonId : 784206
- ORCID : 0000-0003-1484-2738
Résumé
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.
| Origine | Fichiers éditeurs autorisés sur une archive ouverte |
|---|---|
| Licence |
