Julien Moeys

1.1k total citations
22 papers, 715 citations indexed

About

Julien Moeys is a scholar working on Environmental Engineering, Civil and Structural Engineering and Pollution. According to data from OpenAlex, Julien Moeys has authored 22 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Environmental Engineering, 10 papers in Civil and Structural Engineering and 8 papers in Pollution. Recurrent topics in Julien Moeys's work include Soil and Unsaturated Flow (10 papers), Pesticide and Herbicide Environmental Studies (8 papers) and Groundwater flow and contamination studies (7 papers). Julien Moeys is often cited by papers focused on Soil and Unsaturated Flow (10 papers), Pesticide and Herbicide Environmental Studies (8 papers) and Groundwater flow and contamination studies (7 papers). Julien Moeys collaborates with scholars based in Sweden, France and Morocco. Julien Moeys's co-authors include Nicholas Jarvis, John Koestel, Anna Lindahl, Ingmar Messing, Mats Larsbo, Abdul Ghafoor, Yves Coquet, Elisabet Lewan, Enrique Barriuso and Stefan Reichenberger and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Julien Moeys

21 papers receiving 698 citations

Peers

Julien Moeys

CSE

POLLU

WST

Anna Lindahl Sweden

Trine Nørgaard Denmark

I. J. van Wesenbeeck Canada

Sigrid Köhne Germany

R.F.A. Hendriks Netherlands

T. S. Steenhuis United States

Jiangbo Qiao China

Maya Bundt Switzerland

Paraskevi A. Londra Greece

András Makó Hungary

Anna Lindahl Sweden

Julien Moeys

262 ×0.8

CSE

216 ×0.7

163 ×0.8

92 ×0.5

POLLU

108 ×0.9

WST

Citations per year, relative to Julien Moeys Julien Moeys (= 1×) peers Anna Lindahl

Countries citing papers authored by Julien Moeys

Since Specialization

Citations

This map shows the geographic impact of Julien Moeys's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Julien Moeys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Moeys more than expected).

Fields of papers citing papers by Julien Moeys

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julien Moeys. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Julien Moeys. The network helps show where Julien Moeys may publish in the future.

Co-authorship network of co-authors of Julien Moeys

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Moeys. A scholar is included among the top collaborators of Julien Moeys based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julien Moeys. Julien Moeys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mamy, Laure, Jesús M. Marín-Benito, Lionel Alletto, et al.. (2024). Measurement and modelling of water flows and pesticide leaching under low input cropping systems. The Science of The Total Environment. 957. 177607–177607. 1 indexed citations

Moeys, Julien. (2018). Functions for Soil Texture Plot, Classification and Transformation [R package soiltexture version 1.5.1]. 4 indexed citations

Brun, François, et al.. (2018). Modelling pesticides leaching in cropping systems: Effect of uncertainties in climate, agricultural practices, soil and pesticide properties. Environmental Modelling & Software. 109. 342–352. 40 indexed citations

Makowski, David, et al.. (2016). Sensitivity analysis of the STICS-MACRO model to identify cropping practices reducing pesticides losses. The Science of The Total Environment. 580. 117–129. 12 indexed citations

Moeys, Julien, Enrique Barriuso, Mats Larsbo, et al.. (2016). Sequential use of the STICS crop model and of the MACRO pesticide fate model to simulate pesticides leaching in cropping systems. Environmental Science and Pollution Research. 24(8). 6895–6909. 22 indexed citations

Jarvis, Nicholas, et al.. (2015). Direct and indirect effects of climate change on herbicide leaching — A regional scale assessment in Sweden. The Science of The Total Environment. 514. 239–249. 36 indexed citations

Larsbo, Mats, et al.. (2014). Modelling pesticide leaching under climate change: parameter vs. climate input uncertainty. Hydrology and earth system sciences. 18(2). 479–491. 16 indexed citations

Larsbo, Mats, et al.. (2013). Assessing pesticide leaching under climate change: The role of climate input uncertainty. EGU General Assembly Conference Abstracts.

Jarvis, Nicholas, John Koestel, Ingmar Messing, Julien Moeys, & Anna Lindahl. (2013). Influence of soil, land use and climatic factors on the hydraulic conductivity of soil. Hydrology and earth system sciences. 17(12). 5185–5195. 181 indexed citations

10.

Ghafoor, Abdul, John Koestel, Mats Larsbo, Julien Moeys, & Nicholas Jarvis. (2013). Soil properties and susceptibility to preferential solute transport in tilled topsoil at the catchment scale. Journal of Hydrology. 492. 190–199. 42 indexed citations

11.

Larsbo, Mats, et al.. (2013). Predicting pesticide leaching under climate change: Importance of model structure and parameter uncertainty. Agriculture Ecosystems & Environment. 172. 24–34. 27 indexed citations

12.

Koestel, John, Julien Moeys, & Nicholas Jarvis. (2012). Meta-analysis of the effects of soil properties, site factors and experimental conditions on solute transport. Hydrology and earth system sciences. 16(6). 1647–1665. 84 indexed citations

13.

Moeys, Julien, Mats Larsbo, Lars Bergström, et al.. (2012). Functional test of pedotransfer functions to predict water flow and solute transport with the dual-permeability model MACRO. Hydrology and earth system sciences. 16(7). 2069–2083. 38 indexed citations

14.

Koestel, John, Julien Moeys, & Nicholas Jarvis. (2011). Meta-analysis of the effects of soil properties, site factors and experimental conditions on preferential solute transport. 6 indexed citations

15.

Moeys, Julien, Valérie Bergheaud, & Yves Coquet. (2011). Pedotransfer functions for isoproturon sorption on soils and vadose zone materials. Pest Management Science. 67(10). 1309–1319. 11 indexed citations

16.

Tranter, Grant, Nicholas Jarvis, Julien Moeys, & Mats Söderström. (2011). Broad-scale digital soil mapping with geographically disparate geophysical data: a Swedish example. 4 indexed citations

17.

Ghafoor, Abdul, Julien Moeys, John Stenström, Grant Tranter, & Nicholas Jarvis. (2011). Modeling Spatial Variation in Microbial Degradation of Pesticides in Soil. Environmental Science & Technology. 45(15). 6411–6419. 23 indexed citations

18.

Koestel, John, Julien Moeys, & Nicholas Jarvis. (2011). Evaluation of Nonparametric Shape Measures for Solute Breakthrough Curves. Vadose Zone Journal. 10(4). 1261–1275. 44 indexed citations

19.

Jarvis, Nicholas, Julien Moeys, John Hollis, et al.. (2009). A Conceptual Model of Soil Susceptibility to Macropore Flow. Vadose Zone Journal. 8(4). 902–910. 57 indexed citations

20.

Coquet, Yves, et al.. (2005). Biases in the spatial estimation of pesticide loss to groundwater. Agronomy for Sustainable Development. 25(4). 465–472. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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