Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Structure from Motion Photogrammetry in Forestry: a Review
2019416 citationsCarlos Çabo, Stefano Puliti et al.Current Forestry Reportsprofile →
Amazon forests maintain consistent canopy structure and greenness during the dry season
2014339 citationsDouglas C. Morton, Jyoteshwar Nagol et al.Natureprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
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).
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.
Çabo, Carlos, et al.. (2019). Structure from Motion Photogrammetry in Forestry: a Review. Current Forestry Reports. 5(3). 155–168.416 indexed citations breakdown →
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 →
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.