Benoît Mercatoris

1.5k total citations
50 papers, 973 citations indexed

About

Benoît Mercatoris is a scholar working on Plant Science, Civil and Structural Engineering and Ecology. According to data from OpenAlex, Benoît Mercatoris has authored 50 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 18 papers in Civil and Structural Engineering and 12 papers in Ecology. Recurrent topics in Benoît Mercatoris's work include Smart Agriculture and AI (13 papers), Remote Sensing in Agriculture (12 papers) and Soil and Unsaturated Flow (9 papers). Benoît Mercatoris is often cited by papers focused on Smart Agriculture and AI (13 papers), Remote Sensing in Agriculture (12 papers) and Soil and Unsaturated Flow (9 papers). Benoît Mercatoris collaborates with scholars based in Belgium, China and Netherlands. Benoît Mercatoris's co-authors include Thierry Massart, Benjamin Dumont, Tiecheng Bai, Nannan Zhang, Youqi Chen, Roua Amami, Frédéric Lebeau, Bertrand François, Alexis Carlier and Vincent Leemans and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Benoît Mercatoris

48 papers receiving 943 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benoît Mercatoris Belgium	19	374	227	213	155	143	50	973
Song Yu China	19	548 1.5×	181 0.8×	64 0.3×	113 0.7×	169 1.2×	96	1.3k
H. P. W. Jayasuriya Oman	14	392 1.0×	202 0.9×	94 0.4×	45 0.3×	138 1.0×	92	896
Shrinivasa K. Upadhyaya United States	18	323 0.9×	114 0.5×	291 1.4×	78 0.5×	231 1.6×	67	1.2k
Stuart J. Birrell United States	19	317 0.8×	136 0.6×	69 0.3×	134 0.9×	212 1.5×	57	1.2k
Loïc Brancheriau France	22	259 0.7×	63 0.3×	168 0.8×	201 1.3×	71 0.5×	91	1.3k
Domingos Sárvio Magalhães Valente Brazil	16	285 0.8×	156 0.7×	56 0.3×	40 0.3×	199 1.4×	85	765
John K. Schueller United States	21	726 1.9×	211 0.9×	122 0.6×	38 0.2×	188 1.3×	111	1.3k
Shrini K. Upadhyaya United States	19	627 1.7×	187 0.8×	400 1.9×	49 0.3×	408 2.9×	78	1.5k
Peter Schulze Lammers Germany	18	309 0.8×	65 0.3×	276 1.3×	38 0.2×	251 1.8×	115	1.1k
Daniel Marçal de Queiroz Brazil	22	796 2.1×	190 0.8×	113 0.5×	38 0.2×	300 2.1×	185	1.5k

Countries citing papers authored by Benoît Mercatoris

Since Specialization

Citations

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

Fields of papers citing papers by Benoît Mercatoris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Mercatoris

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Mercatoris. A scholar is included among the top collaborators of Benoît Mercatoris 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 Benoît Mercatoris. Benoît Mercatoris 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

Jarroudi, Moussa El, Louis Kouadio, Philippe Delfosse, et al.. (2024). Leveraging edge artificial intelligence for sustainable agriculture. Nature Sustainability. 7(7). 846–854. 20 indexed citations

Mercatoris, Benoît, Qingzhi Liu, Hongxun Yao, et al.. (2024). Use Self-Training Random Forest for Predicting Winter Wheat Yield. Remote Sensing. 16(24). 4723–4723. 2 indexed citations

Chandelier, Anne, et al.. (2023). Near infrared hyperspectral imaging method to assess Fusarium Head Blight infection on winter wheat ears. Microchemical Journal. 191. 108812–108812. 12 indexed citations

Carlier, Alexis, et al.. (2023). Comparing CNNs and PLSr for estimating wheat organs biophysical variables using proximal sensing. Frontiers in Plant Science. 14. 1204791–1204791. 4 indexed citations

Carlier, Alexis, et al.. (2023). To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status?. Plant Phenomics. 5. 83–83.

Zeroual, Youssef, et al.. (2023). PCA-based detection of phosphorous deficiency in wheat plants using prompt fluorescence and 820 nm modulated reflection signals. PLoS ONE. 18(5). e0286046–e0286046. 4 indexed citations

Mercatoris, Benoît, et al.. (2022). Assessment of kernel presence in winter wheat ears at spikelet scale using near-infrared hyperspectral imaging. Journal of Cereal Science. 106. 103497–103497. 4 indexed citations

Carlier, Alexis, et al.. (2022). Deep learning for wheat ear segmentation and ear density measurement: From heading to maturity. Computers and Electronics in Agriculture. 199. 107161–107161. 37 indexed citations

Carlier, Alexis, et al.. (2022). Wheat Ear Segmentation Based on a Multisensor System and Superpixel Classification. Plant Phenomics. 2022. 9841985–9841985. 12 indexed citations

10.

Degré, Aurore, et al.. (2021). A First Insight on the Interaction between Desiccation Cracking and Water Transfer in a Luvisol of Belgium. Soil Systems. 5(4). 64–64. 1 indexed citations

11.

Carlier, Alexis, et al.. (2020). In-field proximal sensing of septoria tritici blotch, stripe rust and brown rust in winter wheat by means of reflectance and textural features from multispectral imagery. Biosystems Engineering. 197. 257–269. 36 indexed citations

12.

Leemans, Vincent, et al.. (2020). Imaging Wheat Canopy Through Stereo Vision: Overcoming the Challenges of the Laboratory to Field Transition for Morphological Features Extraction. Frontiers in Plant Science. 11. 96–96. 36 indexed citations

13.

Bai, Tiecheng, Tao Wang, Nannan Zhang, Youqi Chen, & Benoît Mercatoris. (2020). Growth simulation and yield prediction for perennial jujube fruit tree by integrating age into the WOFOST model. Journal of Integrative Agriculture. 19(3). 721–734. 28 indexed citations

14.

Bai, Tiecheng, Wenbo Meng, Nannan Zhang, et al.. (2019). Assimilation of Remotely-Sensed LAI into WOFOST Model with the SUBPLEX Algorithm for Improving the Field-Scale Jujube Yield Forecasts. Remote Sensing. 11(16). 1945–1945. 22 indexed citations

15.

Charlier, Robert, et al.. (2018). Effect of desiccation cracking on the fluid transfer process in agricultural soil. Open Repository and Bibliography (University of Liège). 1 indexed citations

16.

Bindelle, Jérôme, et al.. (2016). Synthèse sur l'utilisation de capteurs pour le suivi des mouvements de mâchoire et du comportement de bovins au pâturage. BASE. 20. 273–286. 15 indexed citations

17.

Mercatoris, Benoît, et al.. (2016). Pore-size distribution of a compacted silty soil after compaction, saturation, and loading. Canadian Geotechnical Journal. 53(12). 1902–1909. 67 indexed citations

18.

Mercatoris, Benoît, et al.. (2015). Measurement of the open porosity of agricultural soils with acoustic waves. Open Repository and Bibliography (University of Liège). 5292. 1 indexed citations

19.

Destain, Marie-France, et al.. (2014). Characterisation of structural properties of soil using ultrasonic waves. 2014 ASABE Annual International Meeting. 1–12. 4 indexed citations

20.

Mercatoris, Benoît, Thierry Massart, & L.J. Sluys. (2013). A multi-scale computational scheme for anisotropic hydro-mechanical couplings in saturated heterogeneous porous media. Open Repository and Bibliography (University of Liège). 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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