Vincent Leemans

1.9k total citations
37 papers, 1.4k citations indexed

About

Vincent Leemans is a scholar working on Plant Science, Analytical Chemistry and Ecology. According to data from OpenAlex, Vincent Leemans has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 16 papers in Analytical Chemistry and 9 papers in Ecology. Recurrent topics in Vincent Leemans's work include Spectroscopy and Chemometric Analyses (16 papers), Smart Agriculture and AI (16 papers) and Remote Sensing in Agriculture (9 papers). Vincent Leemans is often cited by papers focused on Spectroscopy and Chemometric Analyses (16 papers), Smart Agriculture and AI (16 papers) and Remote Sensing in Agriculture (9 papers). Vincent Leemans collaborates with scholars based in Belgium, United States and Italy. Vincent Leemans's co-authors include Marie-France Destain, H. Magein, Olivier Kleynen, Benjamin Dumont, Olivier Debeir, Bernard Gosselin, Bernard Bodson, Devrim Ünay, Frédéric Lebeau and Jean-Pierre Destain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Journal of Food Engineering.

In The Last Decade

Vincent Leemans

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Leemans Belgium 18 866 776 176 167 158 37 1.4k
Marie-France Destain Belgium 23 1.1k 1.3× 796 1.0× 201 1.1× 170 1.0× 173 1.1× 85 1.8k
Paul Heinemann United States 24 1.3k 1.5× 448 0.6× 180 1.0× 71 0.4× 268 1.7× 170 2.0k
Jingzhu Wu China 16 740 0.9× 689 0.9× 162 0.9× 70 0.4× 299 1.9× 40 1.6k
Daniel E. Guyer United States 26 1.1k 1.2× 1.2k 1.5× 147 0.8× 81 0.5× 390 2.5× 63 2.0k
G. Polder Netherlands 23 1.5k 1.8× 952 1.2× 595 3.4× 62 0.4× 237 1.5× 75 2.3k
Constantino Valero Ubierna Spain 22 1.2k 1.3× 583 0.8× 323 1.8× 38 0.2× 223 1.4× 83 1.9k
Junfeng Gao China 20 868 1.0× 357 0.5× 323 1.8× 48 0.3× 212 1.3× 65 1.6k
Zhongzhi Han China 20 706 0.8× 566 0.7× 90 0.5× 78 0.5× 239 1.5× 80 1.4k
Sajad Sabzi Iran 22 745 0.9× 625 0.8× 152 0.9× 50 0.3× 174 1.1× 61 1.1k
Aichen Wang China 16 803 0.9× 310 0.4× 235 1.3× 48 0.3× 117 0.7× 43 1.2k

Countries citing papers authored by Vincent Leemans

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Leemans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Leemans

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Leemans. A scholar is included among the top collaborators of Vincent Leemans 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 Vincent Leemans. Vincent Leemans 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.
2.
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
3.
Leemans, Vincent, Lesley De Cruz, Benjamin Dumont, et al.. (2017). Selection of meteorological conditions to apply in an Ecotron facility. EGU General Assembly Conference Abstracts. 7895.
4.
Leemans, Vincent, et al.. (2017). Estimation of leaf nitrogen concentration on winter wheat by multispectral imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10213. 102130I–102130I. 10 indexed citations
5.
Dumont, Benjamin, Bruno Basso, Vincent Leemans, et al.. (2015). A comparison of within-season yield prediction algorithms based on crop model behaviour analysis. Agricultural and Forest Meteorology. 204. 10–21. 24 indexed citations
6.
Dumont, Benjamin, et al.. (2014). Assessing the potential of an algorithm based on mean climatic data to predict wheat yield. Precision Agriculture. 15(3). 255–272. 12 indexed citations
7.
Dumont, Benjamin, Bruno Basso, Vincent Leemans, et al.. (2013). Yield variability linked to climate uncertainty and nitrogen fertilisation. Open Repository and Bibliography (University of Liège). 427–434. 5 indexed citations
8.
Leemans, Vincent, Benjamin Dumont, & Marie-France Destain. (2013). Assessment of plant leaf area measurement by using stereo-vision. Open Repository and Bibliography (University of Liège). 49. 1–5. 7 indexed citations
9.
Leemans, Vincent, et al.. (2012). A method for plant leaf area measurement by using stereo vision. Open Repository and Bibliography (University of Liège). 2 indexed citations
10.
Leemans, Vincent, et al.. (2011). Evaluation of the Performance of Infrared Thermography for On-Line Condition Monitoring of Rotating Machines. Engineering. 3(10). 1030–1039. 9 indexed citations
11.
Ünay, Devrim, Bernard Gosselin, Olivier Kleynen, et al.. (2010). Automatic grading of Bi-colored apples by multispectral machine vision. Computers and Electronics in Agriculture. 75(1). 204–212. 114 indexed citations
12.
Palm, Rodolphe, et al.. (2009). A sorting optimization curve with quality and yield requirements. Pattern Recognition Letters. 31(9). 983–990. 13 indexed citations
13.
Leemans, Vincent, et al.. (2008). Determination of plant height for weed detection in stereoscopic images.. Open Repository and Bibliography (University of Liège). 1 indexed citations
14.
Leemans, Vincent & Marie-France Destain. (2008). Ultrasonic internal defect detection in cheese. Journal of Food Engineering. 90(3). 333–340. 30 indexed citations
15.
Lebeau, Frédéric, et al.. (2007). Etude des paramètres opératoires de pressage mécanique des amandes de Vitellaria paradoxa Gaertn C.F. (karité). SHILAP Revista de lepidopterología. 5 indexed citations
16.
Leemans, Vincent, H. Magein, & Marie-France Destain. (2002). AE—Automation and Emerging Technologies. Biosystems Engineering. 83(4). 397–404. 125 indexed citations
17.
Yzerbyt, Vincent, et al.. (2001). Protecting the Ingroup: Motivated Allocation of Cognitive Resources in the Presence of Threatening Ingroup Members. Group Processes & Intergroup Relations. 4(4). 327–339. 48 indexed citations
18.
Leemans, Vincent, H. Magein, & Marie-France Destain. (1998). Defects segmentation on ‘Golden Delicious’ apples by using colour machine vision. Computers and Electronics in Agriculture. 20(2). 117–130. 126 indexed citations
19.
Leemans, Vincent, H. Magein, & Marie-France Destain. (1997). Vision artificielle et quantification de la forme de pommes. Cahiers Agricultures. 6(6). 597–603. 2 indexed citations
20.
Leemans, Vincent, H. Magein, & Marie-France Destain. (1997). The Quality of 'Golden Delicious' Apples by Colour Computer Vision. IFAC Proceedings Volumes. 30(26). 175–179. 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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