Hubert Varella

617 total citations
10 papers, 473 citations indexed

About

Hubert Varella is a scholar working on Environmental Engineering, Plant Science and Civil and Structural Engineering. According to data from OpenAlex, Hubert Varella has authored 10 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 6 papers in Plant Science and 3 papers in Civil and Structural Engineering. Recurrent topics in Hubert Varella's work include Rice Cultivation and Yield Improvement (4 papers), Soil Geostatistics and Mapping (4 papers) and Soil and Unsaturated Flow (3 papers). Hubert Varella is often cited by papers focused on Rice Cultivation and Yield Improvement (4 papers), Soil Geostatistics and Mapping (4 papers) and Soil and Unsaturated Flow (3 papers). Hubert Varella collaborates with scholars based in France, Switzerland and Italy. Hubert Varella's co-authors include Martine Guérif, Samuel Buis, Vivien Rossi, Rémi Choquet, Jean-Pierre Vila, Olivier Giménez, Roger Pradel, Loïk Berre, Gérald Desroziers and Benoît de Solan and has published in prestigious journals such as Quarterly Journal of the Royal Meteorological Society, Remote Sensing and Ecological Modelling.

In The Last Decade

Hubert Varella

10 papers receiving 454 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hubert Varella France 9 237 173 159 81 71 10 473
Victor V. Chepinoga Russia 11 247 1.0× 118 0.7× 183 1.2× 108 1.3× 28 0.4× 51 547
Beatriz Bellón Brazil 7 321 1.4× 118 0.7× 221 1.4× 114 1.4× 28 0.4× 11 502
Wai‐Tim Ng Austria 13 462 1.9× 148 0.9× 228 1.4× 185 2.3× 95 1.3× 16 705
Salvatore Falanga Bolognesi Italy 11 247 1.0× 155 0.9× 277 1.7× 120 1.5× 26 0.4× 19 450
Anne Jacquin France 11 389 1.6× 208 1.2× 257 1.6× 163 2.0× 37 0.5× 16 636
Vijendra K. Boken United States 13 153 0.6× 178 1.0× 255 1.6× 89 1.1× 7 0.1× 26 567
Hideyuki Kawaguchi Japan 14 98 0.4× 116 0.7× 120 0.8× 23 0.3× 281 4.0× 18 688
Simone Gatto Italy 4 132 0.6× 130 0.8× 66 0.4× 79 1.0× 61 0.9× 8 300
R. P. D. Ferraz Brazil 7 270 1.1× 105 0.6× 186 1.2× 104 1.3× 18 0.3× 20 428

Countries citing papers authored by Hubert Varella

Since Specialization
Citations

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

Fields of papers citing papers by Hubert Varella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hubert Varella. 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 Hubert Varella. The network helps show where Hubert Varella may publish in the future.

Co-authorship network of co-authors of Hubert Varella

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

All Works

10 of 10 papers shown
1.
Screpanti, Claudio, et al.. (2018). Aerial and Ground Based Sensing of Tolerance to Beet Cyst Nematode in Sugar Beet. Remote Sensing. 10(5). 787–787. 38 indexed citations
2.
3.
Berre, Loïk, Hubert Varella, & Gérald Desroziers. (2015). Modelling of flow‐dependent ensemble‐based background‐error correlations using a wavelet formulation in 4D‐Var at Météo‐France. Quarterly Journal of the Royal Meteorological Society. 141(692). 2803–2812. 28 indexed citations
4.
Varella, Hubert, Samuel Buis, Marie Launay, & Martine Guérif. (2012). Global sensitivity analysis for choosing the main soil parameters of a crop model to be determined. Agricultural Sciences. 3(7). 949–961. 19 indexed citations
5.
Varella, Hubert, Loïk Berre, & Gérald Desroziers. (2011). Diagnostic and impact studies of a wavelet formulation of background‐error correlations in a global model. Quarterly Journal of the Royal Meteorological Society. 137(658). 1369–1379. 15 indexed citations
6.
Casa, Raffaele, Hubert Varella, Samuel Buis, et al.. (2011). Forcing a wheat crop model with LAI data to access agronomic variables: Evaluation of the impact of model and LAI uncertainties and comparison with an empirical approach. European Journal of Agronomy. 37(1). 1–10. 72 indexed citations
7.
Varella, Hubert, Martine Guérif, Samuel Buis, & Nicolas Beaudoin. (2010). Soil properties estimation by inversion of a crop model and observations on crops improves the prediction of agro-environmental variables. European Journal of Agronomy. 33(2). 139–147. 16 indexed citations
8.
Varella, Hubert, Martine Guérif, & Samuel Buis. (2009). Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model. Environmental Modelling & Software. 25(3). 310–319. 112 indexed citations
9.
Varella, Hubert, Martine Guérif, & Samuel Buis. (2008). Global Sensitivity Analysis (GSA) Measures the Quality of Parameter Estimation. Case of Soil Parameter Estimation with a Crop Model. 53. III – 1040. 2 indexed citations
10.
Giménez, Olivier, Vivien Rossi, Rémi Choquet, et al.. (2007). State-space modelling of data on marked individuals. Ecological Modelling. 206(3-4). 431–438. 142 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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2026