Benjamin Brede

2.2k total citations · 1 hit paper
33 papers, 1.3k citations indexed

About

Benjamin Brede is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Benjamin Brede has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Environmental Engineering, 17 papers in Ecology and 12 papers in Nature and Landscape Conservation. Recurrent topics in Benjamin Brede's work include Remote Sensing and LiDAR Applications (26 papers), Remote Sensing in Agriculture (17 papers) and Forest ecology and management (12 papers). Benjamin Brede is often cited by papers focused on Remote Sensing and LiDAR Applications (26 papers), Remote Sensing in Agriculture (17 papers) and Forest ecology and management (12 papers). Benjamin Brede collaborates with scholars based in Netherlands, Germany and United Kingdom. Benjamin Brede's co-authors include Harm Bartholomeus, Alvaro Lau, Lammert Kooistra, Martin Herold, Kim Calders, Mathias Disney, J.G.P.W. Clevers, Andrew Burt, Phil Wilkes and Juha Suomalainen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Benjamin Brede

29 papers receiving 1.3k citations

Hit Papers

Data acquisition considerations for Terrestrial Laser Sca... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Brede Netherlands 16 1.1k 609 584 318 284 33 1.3k
Juan Carlos Pinilla Suárez United Kingdom 20 1.1k 1.0× 729 1.2× 691 1.2× 278 0.9× 388 1.4× 74 1.5k
Rachel Gaulton United Kingdom 24 1.2k 1.1× 1.1k 1.8× 573 1.0× 258 0.8× 549 1.9× 49 1.9k
Topi Tanhuanpää Finland 17 902 0.9× 574 0.9× 428 0.7× 341 1.1× 284 1.0× 33 1.2k
Sakari Tuominen Finland 25 1.6k 1.5× 1.1k 1.8× 817 1.4× 424 1.3× 475 1.7× 71 2.1k
Grant D. Pearse New Zealand 18 776 0.7× 653 1.1× 241 0.4× 226 0.7× 221 0.8× 32 1.1k
Francesca Giannetti Italy 24 990 0.9× 723 1.2× 556 1.0× 306 1.0× 605 2.1× 69 1.7k
Xin Shen China 17 815 0.8× 562 0.9× 316 0.5× 203 0.6× 177 0.6× 48 1.0k
Jonathan P. Dash New Zealand 17 699 0.7× 586 1.0× 282 0.5× 196 0.6× 240 0.8× 24 1.1k
Sylvie Durrieu France 18 1.2k 1.1× 790 1.3× 680 1.2× 367 1.2× 383 1.3× 39 1.5k
Eva Lindberg Sweden 23 1.4k 1.4× 883 1.4× 896 1.5× 649 2.0× 345 1.2× 58 1.9k

Countries citing papers authored by Benjamin Brede

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Brede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Brede

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Brede. A scholar is included among the top collaborators of Benjamin Brede 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 Benjamin Brede. Benjamin Brede 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.
Maeda, Eduardo Eiji, Benjamin Brede, Kim Calders, et al.. (2025). Expanding forest research with terrestrial LiDAR technology. Nature Communications. 16(1). 8853–8853.
2.
Calders, Kim, Martin Herold, Jennifer Adams, et al.. (2025). Realistic virtual forests for understanding forest disturbances and recovery from space. ISPRS Journal of Photogrammetry and Remote Sensing. 227. 501–507.
3.
Śmigaj, Magdalena, et al.. (2024). Optimizing UAV-based uncooled thermal cameras in field conditions for precision agriculture. International Journal of Applied Earth Observation and Geoinformation. 134. 104184–104184.
4.
Franceschini, Marston H. D., et al.. (2024). Detection of a vascular wilt disease in potato (‘Blackleg’) based on UAV hyperspectral imagery: Can structural features from LiDAR or SfM improve plant-wise classification accuracy?. Computers and Electronics in Agriculture. 227. 109527–109527. 3 indexed citations
5.
Tebaldini, Stefano, et al.. (2024). Evaluating Phase Histograms for Remote Sensing of Forested Areas Using L-Band SAR: Theoretical Modeling and Experimental Results. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 3 indexed citations
6.
Zhao, Jiayan, et al.. (2023). Advancing Forest Monitoring and Assessment Through Immersive Virtual Reality. Socio-Environmental Systems Modeling. 4. 1–12. 3 indexed citations
7.
Wilkes, Phil, Mathias Disney, John Armston, et al.. (2023). TLS2trees : A scalable tree segmentation pipeline for TLS data. Methods in Ecology and Evolution. 14(12). 3083–3099. 19 indexed citations
8.
Calders, Kim, Benjamin Brede, Glenn Newnham, et al.. (2023). StrucNet: a global network for automated vegetation structure monitoring. Remote Sensing in Ecology and Conservation. 9(5). 587–598. 19 indexed citations
9.
Vincent, Grégoire, et al.. (2023). Multi-sensor airborne lidar requires intercalibration for consistent estimation of light attenuation and plant area density. Remote Sensing of Environment. 286. 113442–113442. 7 indexed citations
10.
Brede, Benjamin, Harm Bartholomeus, Nicolas Barbier, et al.. (2022). Peering through the thicket: Effects of UAV LiDAR scanner settings and flight planning on canopy volume discovery. International Journal of Applied Earth Observation and Geoinformation. 114. 103056–103056. 20 indexed citations
11.
Brede, Benjamin, Louise Terryn, Nicolas Barbier, et al.. (2022). Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning. Remote Sensing of Environment. 280. 113180–113180. 85 indexed citations
12.
Brede, Benjamin, et al.. (2021). Factors Influencing Temperature Measurements from Miniaturized Thermal Infrared (TIR) Cameras: A Laboratory-Based Approach. Sensors. 21(24). 8466–8466. 31 indexed citations
13.
Brede, Benjamin, Jochem Verrelst, Jean‐Philippe Gastellu‐Etchegorry, et al.. (2020). Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI. Remote Sensing. 12(6). 915–915. 44 indexed citations
14.
Decuyper, Mathieu, Benjamin Brede, Lammert Kooistra, et al.. (2019). Linking Terrestrial LiDAR Scanner and Conventional Forest Structure Measurements with Multi-Modal Satellite Data. Forests. 10(3). 291–291. 18 indexed citations
15.
Brede, Benjamin, Jean‐Philippe Gastellu‐Etchegorry, Nicolas Lauret, et al.. (2018). Monitoring Forest Phenology and Leaf Area Index with the Autonomous, Low-Cost Transmittance Sensor PASTiS-57. Remote Sensing. 10(7). 1032–1032. 15 indexed citations
16.
Decuyper, Mathieu, Benjamin Brede, Kim Calders, et al.. (2018). Assessing the structural differences between tropical forest types using Terrestrial Laser Scanning. Forest Ecology and Management. 429. 327–335. 23 indexed citations
17.
Wilkes, Phil, Alvaro Lau, Mathias Disney, et al.. (2017). Data acquisition considerations for Terrestrial Laser Scanning of forest plots. Remote Sensing of Environment. 196. 140–153. 269 indexed citations breakdown →
18.
Brede, Benjamin, Boris Thies, Jörg Bendix, & Uwe Feister. (2017). Spatiotemporal High-Resolution Cloud Mapping with a Ground-Based IR Scanner. Advances in Meteorology. 2017. 1–11. 2 indexed citations
19.
Brede, Benjamin, Harm Bartholomeus, Juha Suomalainen, et al.. (2016). The Speulderbos fiducial reference site for continuous monitoring of forest biophysical variables. Socio-Environmental Systems Modeling. 740. 191. 4 indexed citations
20.
Blaustein, Albert P., et al.. (1977). Independence Documents of the World, Volume 1.

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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