Jan Dupuis

489 total citations
11 papers, 402 citations indexed

About

Jan Dupuis is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Jan Dupuis has authored 11 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Ecology and 4 papers in Environmental Engineering. Recurrent topics in Jan Dupuis's work include Remote Sensing in Agriculture (7 papers), Leaf Properties and Growth Measurement (5 papers) and Remote Sensing and LiDAR Applications (4 papers). Jan Dupuis is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Leaf Properties and Growth Measurement (5 papers) and Remote Sensing and LiDAR Applications (4 papers). Jan Dupuis collaborates with scholars based in Germany and United Kingdom. Jan Dupuis's co-authors include Heiner Kuhlmann, Stefan Paulus, Anne‐Katrin Mahlein, Jan Behmann, Lutz Plümer, Sebastian Riedel, Erich-Christian Oerke, Christoph Holst, Ribana Roscher and Thomas Eichert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and BMC Bioinformatics.

In The Last Decade

Jan Dupuis

11 papers receiving 377 citations

Peers

Jan Dupuis

PS

ECOLO

EE

AC

CVPR

Calvin Hung Australia

Nicolas Virlet United Kingdom

Mauro dos Santos de Arruda Brazil

Manuel Vázquez-Arellano Germany

Mar Ariza-Sentís Netherlands

Morten Stigaard Laursen Denmark

Carlos Zúñiga Espinoza United States

Shuxin Pang China

Sergio Vélez Netherlands

Gawain Jones France

Calvin Hung Australia

Jan Dupuis

267 ×0.9

PS

221 ×0.9

ECOLO

191 ×1.2

EE

47 ×0.6

AC

53 ×1.4

CVPR

Citations per year, relative to Jan Dupuis Jan Dupuis (= 1×) peers Calvin Hung

Countries citing papers authored by Jan Dupuis

Since Specialization

Citations

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

Fields of papers citing papers by Jan Dupuis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Dupuis

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

All Works

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11 of 11 papers shown

1.

Dupuis, Jan, Christoph Holst, & Heiner Kuhlmann. (2017). Measuring Leaf Thickness with 3D Close-Up Laser Scanners: Possible or Not?. Journal of Imaging. 3(2). 22–22. 4 indexed citations

2.

Dupuis, Jan, Christoph Holst, & Heiner Kuhlmann. (2017). Improving the kinematic calibration of a coordinate measuring arm using configuration analysis. Precision Engineering. 50. 171–182. 16 indexed citations

3.

Dupuis, Jan, Christoph Holst, & Heiner Kuhlmann. (2016). Laser Scanning Based Growth Analysis of Plants as a New Challenge for Deformation Monitoring. Journal of Applied Geodesy. 10(1). 6 indexed citations

4.

Roscher, Ribana, Jan Behmann, Anne‐Katrin Mahlein, et al.. (2016). DETECTION OF DISEASE SYMPTOMS ON HYPERSPECTRAL 3D PLANT MODELS. SHILAP Revista de lepidopterología. III-7. 89–96. 22 indexed citations

5.

Roscher, Ribana, Jan Behmann, Anne‐Katrin Mahlein, et al.. (2016). DETECTION OF DISEASE SYMPTOMS ON HYPERSPECTRAL 3D PLANT MODELS. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences. III-7. 89–96. 14 indexed citations

6.

Dupuis, Jan, et al.. (2015). The Impact of different Leaf Surface Tissues on active 3D Laser Triangulation Measurements. Photogrammetrie - Fernerkundung - Geoinformation. 2015(6). 437–447. 7 indexed citations

7.

Behmann, Jan, Anne‐Katrin Mahlein, Stefan Paulus, et al.. (2015). Generation and application of hyperspectral 3D plant models: methods and challenges. Machine Vision and Applications. 27(5). 611–624. 93 indexed citations

8.

Paulus, Stefan, Jan Dupuis, Sebastian Riedel, & Heiner Kuhlmann. (2014). Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping. Sensors. 14(7). 12670–12686. 71 indexed citations

9.

Dupuis, Jan & Heiner Kuhlmann. (2014). High-Precision Surface Inspection: Uncertainty Evaluation within an Accuracy Range of 15μm with Triangulation-based Laser Line Scanners. Journal of Applied Geodesy. 8(2). 10 indexed citations

10.

Dupuis, Jan, Stefan Paulus, Jan Behmann, Lutz Plümer, & Heiner Kuhlmann. (2014). A Multi-Resolution Approach for an Automated Fusion of Different Low-Cost 3D Sensors. Sensors. 14(4). 7563–7579. 12 indexed citations

11.

Paulus, Stefan, Jan Dupuis, Anne‐Katrin Mahlein, & Heiner Kuhlmann. (2013). Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping. BMC Bioinformatics. 14(1). 238–238. 147 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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