Lasse Klingbeil

3.3k total citations
86 papers, 1.8k citations indexed

About

Lasse Klingbeil is a scholar working on Aerospace Engineering, Environmental Engineering and Geology. According to data from OpenAlex, Lasse Klingbeil has authored 86 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Aerospace Engineering, 27 papers in Environmental Engineering and 24 papers in Geology. Recurrent topics in Lasse Klingbeil's work include Remote Sensing and LiDAR Applications (27 papers), Robotics and Sensor-Based Localization (25 papers) and 3D Surveying and Cultural Heritage (24 papers). Lasse Klingbeil is often cited by papers focused on Remote Sensing and LiDAR Applications (27 papers), Robotics and Sensor-Based Localization (25 papers) and 3D Surveying and Cultural Heritage (24 papers). Lasse Klingbeil collaborates with scholars based in Germany, Australia and United Kingdom. Lasse Klingbeil's co-authors include Heiner Kuhlmann, Christian Eling, Tim Wark, Markus Wieland, Yiannos Manoli, Chris Crossman, Peter Corke, Anna Kicherer, Greg Bishop-Hurley and Reinhard Töpfer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Optics Letters.

In The Last Decade

Lasse Klingbeil

81 papers receiving 1.8k citations

Peers

Lasse Klingbeil

EEE

GEOLO

Daniel Morris United States

Jordi Palacín Spain

Changhui Jiang China

James Underwood Australia

Mitch Bryson Australia

Heiner Kuhlmann Germany

Yanfeng Gu China

Nicolas H. Younan United States

Ahmed El‐Rabbany Canada

Wen Yang China

Daniel Morris United States

Lasse Klingbeil

528 ×1.1

432 ×1.0

EEE

112 ×0.3

165 ×0.4

108 ×0.4

GEOLO

Citations per year, relative to Lasse Klingbeil Lasse Klingbeil (= 1×) peers Daniel Morris

Countries citing papers authored by Lasse Klingbeil

Since Specialization

Citations

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

Fields of papers citing papers by Lasse Klingbeil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lasse Klingbeil

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

Wagner, Markus, et al.. (2025). Evaluation of mobile mapping point clouds in the context of height difference estimation. Journal of Applied Geodesy. 19(4). 635–651.

Lopez, Gina, et al.. (2024). Structural wheat trait estimation using UAV-based laser scanning data: Analysis of critical aspects and recommendations based on a case study. Precision Agriculture. 26(1).

Bendig, Juliane, Lasse Klingbeil, Bastian Siegmann, et al.. (2024). Multispectral imaging and terrestrial laser scanning for the detection of drought-induced paraheliotropic leaf movement in soybean. International Journal of Applied Earth Observation and Geoinformation. 135. 104250–104250. 3 indexed citations

Roşu, Radu Alexandru, Sven Behnke, Lasse Klingbeil, et al.. (2024). A 3D printed plant model for accurate and reliable 3D plant phenotyping. GigaScience. 13. 6 indexed citations

Klingbeil, Lasse, et al.. (2024). A 3D Surface Reconstruction Pipeline for Plant Phenotyping. Remote Sensing. 16(24). 4720–4720. 2 indexed citations

Kuhlmann, Heiner, et al.. (2024). Stone instance segmentation of rubble masonry based on laser scanning point clouds. Measurement. 242. 115905–115905. 1 indexed citations

Klingbeil, Lasse, et al.. (2023). Quality Analysis of a High-Precision Kinematic Laser Scanning System for the Use of Spatio-Temporal Plant and Organ-Level Phenotyping in the Field. Remote Sensing. 15(4). 1117–1117. 8 indexed citations

Roşu, Radu Alexandru, et al.. (2023). Field Robot for High-Throughput and High-Resolution 3D Plant Phenotyping: Towards Efficient and Sustainable Crop Production. IEEE Robotics & Automation Magazine. 30(4). 20–29. 12 indexed citations

Klingbeil, Lasse, et al.. (2023). UAV-based individual plant detection and geometric parameter extraction in vineyards. Frontiers in Plant Science. 14. 1244384–1244384. 4 indexed citations

10.

Kuhlmann, Heiner, et al.. (2022). The potential of UAV-based Laser Scanning for Deformation Monitoring – Case Study on a Water Dam. RiuNet (Politechnical University of Valencia). 2 indexed citations

11.

Kuhlmann, Heiner, et al.. (2021). Quality Analysis of Direct Georeferencing in Aspects of Absolute Accuracy and Precision for a UAV-Based Laser Scanning System. Remote Sensing. 13(18). 3564–3564. 26 indexed citations

12.

Magistri, Federico, Radu Alexandru Roşu, Nived Chebrolu, et al.. (2021). Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis. PLoS ONE. 16(8). e0256340–e0256340. 80 indexed citations

13.

Eichel, Jana, Daniel Draebing, Teja Kattenborn, et al.. (2020). Unmanned aerial vehicle‐based mapping of turf‐banked solifluction lobe movement and its relation to material, geomorphometric, thermal and vegetation properties. Permafrost and Periglacial Processes. 31(1). 97–109. 20 indexed citations

14.

Li, Guanqing, et al.. (2020). An Integrated Positioning and Attitude Determination System for Immersed Tunnel Elements: A Simulation Study. Sensors. 20(24). 7296–7296. 5 indexed citations

15.

Siegmann, Bastian, Lasse Klingbeil, Andreas Burkart, et al.. (2019). Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach. Remote Sensing. 11(5). 515–515. 64 indexed citations

16.

Klingbeil, Lasse, et al.. (2018). GPS Multipath Analysis Using Fresnel Zones. Sensors. 19(1). 25–25. 27 indexed citations

17.

Kicherer, Anna, Katja Herzog, Andreas Backhaus, et al.. (2017). Phenoliner: A New Field Phenotyping Platform for Grapevine Research. Sensors. 17(7). 1625–1625. 36 indexed citations

18.

Klingbeil, Lasse, Christian Eling, Erik Heinz, Markus Wieland, & Heiner Kuhlmann. (2017). Direct Georeferencing for Portable Mapping Systems: In the Air and on the Ground. Journal of Surveying Engineering. 143(4). 13 indexed citations

19.

Kicherer, Anna, et al.. (2016). Towards Automated Large-Scale 3D Phenotyping of Vineyards under Field Conditions. Sensors. 16(12). 2136–2136. 59 indexed citations

20.

Klingbeil, Lasse & Michailas Romanovas. (2012). Rekursive Bayesische Schätzverfahren zur Lokalisierung von Personen innerhalb von Gebäuden. ZfV - Zeitschrift für Geodäsie, Geoinformation und Landmanagement. 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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