J. Rosette

2.2k total citations · 2 hit papers
54 papers, 1.6k citations indexed

About

J. Rosette is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, J. Rosette has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Environmental Engineering, 25 papers in Nature and Landscape Conservation and 21 papers in Ecology. Recurrent topics in J. Rosette's work include Remote Sensing and LiDAR Applications (46 papers), Forest ecology and management (24 papers) and Remote Sensing in Agriculture (21 papers). J. Rosette is often cited by papers focused on Remote Sensing and LiDAR Applications (46 papers), Forest ecology and management (24 papers) and Remote Sensing in Agriculture (21 papers). J. Rosette collaborates with scholars based in United Kingdom, United States and China. J. Rosette's co-authors include Peter North, Juan Carlos Pinilla Suárez, Carlos Çabo, Stefano Puliti, James E. O’Connor, Livia Piermattei, Bruce D. Cook, S. O. Los, Douglas C. Morton and David J. Harding and has published in prestigious journals such as Nature, Remote Sensing of Environment and Global Change Biology.

In The Last Decade

J. Rosette

51 papers receiving 1.5k citations

Hit Papers

Structure from Motion Photogrammetry in Forestry: ... 2014 2026 2018 2022 2019 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Rosette United Kingdom 17 1.1k 871 564 555 266 54 1.6k
Juan Carlos Pinilla Suárez United Kingdom 20 1.1k 1.0× 729 0.8× 388 0.7× 691 1.2× 141 0.5× 74 1.5k
Sakari Tuominen Finland 25 1.6k 1.4× 1.1k 1.2× 475 0.8× 817 1.5× 306 1.2× 71 2.1k
Sylvie Durrieu France 18 1.2k 1.1× 790 0.9× 383 0.7× 680 1.2× 152 0.6× 39 1.5k
Rachel Gaulton United Kingdom 24 1.2k 1.1× 1.1k 1.2× 549 1.0× 573 1.0× 189 0.7× 49 1.9k
Phil Wilkes United Kingdom 22 1.4k 1.2× 692 0.8× 537 1.0× 1.0k 1.8× 189 0.7× 41 1.8k
Eetu Puttonen Finland 27 1.4k 1.2× 813 0.9× 394 0.7× 517 0.9× 437 1.6× 80 2.0k
Britta Allgöwer Switzerland 15 1.4k 1.2× 1.1k 1.2× 739 1.3× 813 1.5× 124 0.5× 35 2.0k
Qin Ma China 25 946 0.8× 702 0.8× 646 1.1× 458 0.8× 139 0.5× 57 1.7k
Wenjian Ni China 21 1.1k 1.0× 844 1.0× 538 1.0× 450 0.8× 116 0.4× 70 1.5k
Topi Tanhuanpää Finland 17 902 0.8× 574 0.7× 284 0.5× 428 0.8× 175 0.7× 33 1.2k

Countries citing papers authored by J. Rosette

Since Specialization
Citations

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

Fields of papers citing papers by J. Rosette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Rosette

This figure shows the co-authorship network connecting the top 25 collaborators of J. Rosette. A scholar is included among the top collaborators of J. Rosette 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 J. Rosette. J. Rosette 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.
Suárez, Juan Carlos Pinilla, et al.. (2025). Plantation forests driven spatiotemporal vegetation trends and its interplay with climate variables in the Northwestern Highlands of Ethiopia. International Journal of Applied Earth Observation and Geoinformation. 137. 104411–104411. 1 indexed citations
3.
Suárez, Juan Carlos Pinilla, et al.. (2024). The Implications of Plantation Forest-Driven Land Use/Land Cover Changes for Ecosystem Service Values in the Northwestern Highlands of Ethiopia. Remote Sensing. 16(22). 4159–4159. 6 indexed citations
4.
Suárez, Juan Carlos Pinilla, et al.. (2023). Vegetation Trend Detection Using Time Series Satellite Data as Ecosystem Condition Indicators for Analysis in the Northwestern Highlands of Ethiopia. Remote Sensing. 15(20). 5032–5032. 6 indexed citations
5.
Görgens, Eric Bastos, Danilo Roberti Alves de Almeida, J. Rosette, et al.. (2021). Qualifying the Information Detected from Airborne Laser Scanning to Support Tropical Forest Management Operational Planning. Forests. 12(12). 1724–1724. 3 indexed citations
6.
Mund, Jan–Peter, et al.. (2021). Charcoal heaps volume estimation based on unmanned aerial vehicles. Southern Forests a Journal of Forest Science. 83(4). 303–309. 2 indexed citations
7.
Görgens, Eric Bastos, Matheus Henrique Nunes, Toby Jackson, et al.. (2020). Resource availability and disturbance shape maximum tree height across the Amazon. Global Change Biology. 27(1). 177–189. 42 indexed citations
8.
Çabo, Carlos, et al.. (2019). Structure from Motion Photogrammetry in Forestry: a Review. Current Forestry Reports. 5(3). 155–168. 416 indexed citations breakdown →
9.
North, Peter, S. O. Los, Natascha Kljun, et al.. (2016). Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model. Remote Sensing of Environment. 188. 177–189. 31 indexed citations
10.
Mahoney, Craig, Natascha Kljun, S. O. Los, et al.. (2014). Slope Estimation from ICESat/GLAS. Remote Sensing. 6(10). 10051–10069. 26 indexed citations
11.
Morton, Douglas C., Jyoteshwar Nagol, C. C. Carabajal, et al.. (2014). Amazon forests maintain consistent canopy structure and greenness during the dry season. Nature. 506(7487). 221–224. 339 indexed citations breakdown →
12.
Los, S. O., J. Rosette, Natascha Kljun, et al.. (2012). Vegetation height and cover fraction between 60° S and 60° N from ICESat GLAS data. Geoscientific model development. 5(2). 413–432. 88 indexed citations
13.
Rosette, J., et al.. (2011). Single-Photon LIDAR for Vegetation Analysis. AGU Fall Meeting Abstracts. 2011. 2 indexed citations
14.
Dubayah, Ralph, Amanda Armstrong, Bruce D. Cook, et al.. (2011). County-Scale Carbon Estimation in NASA's Carbon Monitoring System. AGU Fall Meeting Abstracts. 2011. 2 indexed citations
15.
Rosette, J., et al.. (2010). Modelling Sensor and Target effects on LiDAR Waveforms. AGUFM. 2010. 1 indexed citations
16.
Cook, Bruce D., et al.. (2010). Effect of Ground Surface Reflectance on LiDAR Waveforms, Height Metrics and Biomass Estimation. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
17.
Rosette, J.. (2008). Stemwood Volume Estimates for a Mixed Temperate Forest using Satellite LiDAR. Cronfa (Swansea University). 1 indexed citations
18.
Jones, Simon, et al.. (2008). Characterising the ecological structure of a dry Eucalypt forest landscape. 126–133. 1 indexed citations
19.
Eerikäinen, Kalle, Jussi Peuhkurinen, Petteri Packalén, et al.. (2008). Airborne laser scanning for the identification of boreal forest site types. Jukuri (Natural Resources Institute Finland (Luke)). 58–66. 5 indexed citations
20.
Suárez, Juan Carlos Pinilla, J. Rosette, Bruce Nicoll, & Barry Gardiner. (2008). A practical application of airborne LiDAR for forestry management in Scotland. 581–585. 5 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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