Christine Le Bas

2.7k total citations · 1 hit paper
23 papers, 1.9k citations indexed

About

Christine Le Bas is a scholar working on Soil Science, Environmental Engineering and Civil and Structural Engineering. According to data from OpenAlex, Christine Le Bas has authored 23 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Soil Science, 6 papers in Environmental Engineering and 5 papers in Civil and Structural Engineering. Recurrent topics in Christine Le Bas's work include Soil Carbon and Nitrogen Dynamics (9 papers), Climate change impacts on agriculture (5 papers) and Soil and Unsaturated Flow (5 papers). Christine Le Bas is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (9 papers), Climate change impacts on agriculture (5 papers) and Soil and Unsaturated Flow (5 papers). Christine Le Bas collaborates with scholars based in France, Morocco and Belgium. Christine Le Bas's co-authors include Allan Lilly, J.H.M. Wösten, Attila Nemes, Dominique Arrouays, Nicolas Saby, Manuel Martín, Julie Constantin, Éric Justes, P. Bellamy and Frank Verheijen and has published in prestigious journals such as The Science of The Total Environment, Journal of Environmental Management and Climatic Change.

In The Last Decade

Christine Le Bas

22 papers receiving 1.8k citations

Hit Papers

Development and use of a database of hydraulic properties... 1999 2026 2008 2017 1999 250 500 750

Peers

Christine Le Bas
Christine Le Bas
Citations per year, relative to Christine Le Bas Christine Le Bas (= 1×) peers Annemieke I. Gärdenäs

Countries citing papers authored by Christine Le Bas

Since Specialization
Citations

This map shows the geographic impact of Christine Le Bas'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 Christine Le Bas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Le Bas more than expected).

Fields of papers citing papers by Christine Le Bas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christine Le Bas. 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 Christine Le Bas. The network helps show where Christine Le Bas may publish in the future.

Co-authorship network of co-authors of Christine Le Bas

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Le Bas. A scholar is included among the top collaborators of Christine Le Bas 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 Christine Le Bas. Christine Le Bas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fujisaki, Kenji, Tiphaine Chevallier, Antonio Bispo, et al.. (2023). Semantics about soil organic carbon storage: DATA4C+, a comprehensive thesaurus and classification of management practices in agriculture and forestry. SOIL. 9(1). 89–100. 4 indexed citations
2.
Buis, Samuel, et al.. (2022). Available water capacity from a multidisciplinary and multiscale viewpoint. A review. Agronomy for Sustainable Development. 42(3). 15 indexed citations
3.
Graux, Anne‐Isabelle, Luc Delaby, P. Faverdin, et al.. (2019). High-resolution assessment of French grassland dry matter and nitrogen yields. European Journal of Agronomy. 112. 125952–125952. 11 indexed citations
4.
Dobarco, Mercedes Román, Isabelle Cousin, Christine Le Bas, & Manuel Martín. (2018). Pedotransfer functions for predicting available water capacity in French soils, their applicability domain and associated uncertainty. Geoderma. 336. 81–95. 80 indexed citations
5.
Beaudoin, Nicolas, Pascal Viennot, Christine Le Bas, et al.. (2016). Evaluation of a spatialized agronomic model in predicting yield and N leaching at the scale of the Seine-Normandie Basin. Environmental Science and Pollution Research. 25(24). 23529–23558. 12 indexed citations
6.
Constantin, Julie, Christine Le Bas, & Éric Justes. (2015). Large-scale assessment of optimal emergence and destruction dates for cover crops to reduce nitrate leaching in temperate conditions using the STICS soil–crop model. European Journal of Agronomy. 69. 75–87. 36 indexed citations
7.
Coucheney, Elsa, Samuel Buis, Marie Launay, et al.. (2014). Accuracy, robustness and behavior of the STICS soil–crop model for plant, water and nitrogen outputs: Evaluation over a wide range of agro-environmental conditions in France. Environmental Modelling & Software. 64. 177–190. 143 indexed citations
9.
Lafont, S., et al.. (2012). Use of agricultural statistics to verify the interannual variability in land surface models: a case study over France with ISBA-A-gs. Geoscientific model development. 5(1). 37–54. 17 indexed citations
10.
Meersmans, Jeroen, Manuel Martín, Fjo De Ridder, et al.. (2012). A novel soil organic C model using climate, soil type and management data at the national scale in France. Agronomy for Sustainable Development. 32(4). 873–888. 58 indexed citations
11.
Jones, Robert, Freddy Nachtergaele, David G. Rossiter, et al.. (2010). Common criteria for the redefinition of Intermediate Less Favoured Areas in the European Union. Environmental Science & Policy. 13(8). 766–777. 46 indexed citations
12.
Gabrielle, Benoît, et al.. (2009). Coupling biophysical and micro-economic models to assess the effect of mitigation measures on greenhouse gas emissions from agriculture. Climatic Change. 98(1-2). 51–73. 24 indexed citations
13.
Lacarce, Eva, et al.. (2009). Data management for monitoring forest soils in Europe for the Biosoil project. Soil Use and Management. 25(1). 57–65. 22 indexed citations
14.
Roger‐Estrade, Jean, et al.. (2008). Use of available information at a European level to construct crop nitrogen response curves for the regions of the EU. Agricultural Systems. 97(1-2). 68–82. 62 indexed citations
15.
Saby, Nicolas, Dominique Arrouays, Christine Le Bas, et al.. (2007). Soil monitoring in Europe: A review of existing systems and requirements for harmonisation. The Science of The Total Environment. 391(1). 1–12. 203 indexed citations
16.
Loustau, Denis, Alexandre Bosc, Jérôme Ogée, et al.. (2005). Modeling climate change effects on the potential production of French plains forests at the sub-regional level. Tree Physiology. 25(7). 813–823. 100 indexed citations
17.
Wösten, J.H.M., Allan Lilly, Attila Nemes, & Christine Le Bas. (1999). Development and use of a database of hydraulic properties of European soils. Geoderma. 90(3-4). 169–185. 861 indexed citations breakdown →
18.
Wösten, J.H.M., Allan Lilly, Attila Nemes, & Christine Le Bas. (1998). Using existing soil data to derive hydraulic parameters for simulation models in environmental studies and in land use planning; final report on the European Union funded project, 1998. Socio-Environmental Systems Modeling. 43 indexed citations
19.
Bas, Christine Le, et al.. (1994). Remote Sensing and Fallow Land. Journal of Environmental Management. 41(1). 27–38. 3 indexed citations
20.
Bas, Christine Le, et al.. (1993). Análisis de la evolución de las tallas de los cefalópodos explotados en la costa del Sáhara (división 34.1.3 de cecaf) entre los periodos 1967-70 y 1989-90. Helmholtz Centre for Ocean Research Kiel (GEOMAR). 1 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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