K. C. Cushman

1.3k total citations
25 papers, 530 citations indexed

About

K. C. Cushman is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, K. C. Cushman has authored 25 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nature and Landscape Conservation, 12 papers in Environmental Engineering and 11 papers in Global and Planetary Change. Recurrent topics in K. C. Cushman's work include Forest ecology and management (12 papers), Remote Sensing and LiDAR Applications (12 papers) and Remote Sensing in Agriculture (9 papers). K. C. Cushman is often cited by papers focused on Forest ecology and management (12 papers), Remote Sensing and LiDAR Applications (12 papers) and Remote Sensing in Agriculture (9 papers). K. C. Cushman collaborates with scholars based in United States, Panama and Czechia. K. C. Cushman's co-authors include James R. Kellner, Helene C. Muller‐Landau, Martin Krůček, Kamil Král, Stephen P. Hubbell, Richard Condit, Carlo Zgraggen, Benedikt Imbach, Laura Duncanson and Carol K. Augspurger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

K. C. Cushman

24 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. C. Cushman United States 12 218 216 162 137 85 25 530
Diego Giuliarelli Italy 13 121 0.6× 149 0.7× 149 0.9× 146 1.1× 61 0.7× 23 367
Petra Adler Germany 13 199 0.9× 309 1.4× 120 0.7× 236 1.7× 30 0.4× 19 459
Miłosz Mielcarek Poland 10 169 0.8× 267 1.2× 92 0.6× 177 1.3× 27 0.3× 16 387
Jan Trochta Czechia 7 210 1.0× 294 1.4× 93 0.6× 124 0.9× 40 0.5× 8 453
Fabio Meloni Italy 10 248 1.1× 97 0.4× 219 1.4× 118 0.9× 78 0.9× 26 462
Azadeh Abdollahnejad Czechia 13 169 0.8× 488 2.3× 151 0.9× 378 2.8× 49 0.6× 17 638
Samuli Junttila Finland 16 177 0.8× 303 1.4× 175 1.1× 263 1.9× 103 1.2× 40 532
Přemysl Janata Czechia 8 67 0.3× 269 1.2× 78 0.5× 178 1.3× 28 0.3× 11 392
Minna Blomqvist Finland 9 57 0.3× 283 1.3× 172 1.1× 415 3.0× 78 0.9× 13 614
Jan Lehmann Germany 8 49 0.2× 151 0.7× 73 0.5× 246 1.8× 77 0.9× 15 364

Countries citing papers authored by K. C. Cushman

Since Specialization
Citations

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

Fields of papers citing papers by K. C. Cushman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. C. Cushman. 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 K. C. Cushman. The network helps show where K. C. Cushman may publish in the future.

Co-authorship network of co-authors of K. C. Cushman

This figure shows the co-authorship network connecting the top 25 collaborators of K. C. Cushman. A scholar is included among the top collaborators of K. C. Cushman 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 K. C. Cushman. K. C. Cushman 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.
Gora, Evan M., Ian R. McGregor, Helene C. Muller‐Landau, et al.. (2025). Storms Are an Important Driver of Change in Tropical Forests. Ecology Letters. 28(7). e70157–e70157.
2.
Gora, Evan M., et al.. (2025). How some tropical trees benefit from being struck by lightning: evidence for Dipteryx oleifera and other large‐statured trees. New Phytologist. 246(4). 1554–1566. 2 indexed citations
3.
Zhang, Dafeng, Kamil Král, Martin Krůček, K. C. Cushman, & James R. Kellner. (2024). Near-Complete Sampling of Forest Structure from High-Density Drone Lidar Demonstrated by Ray Tracing. Remote Sensing. 16(15). 2774–2774. 2 indexed citations
4.
Csillik, Ovidiu, Michael Keller, Marcos Longo, et al.. (2024). A large net carbon loss attributed to anthropogenic and natural disturbances in the Amazon Arc of Deforestation. Proceedings of the National Academy of Sciences. 121(33). e2310157121–e2310157121. 13 indexed citations
5.
Siqueira, Paul, John Armston, Bruce Chapman, et al.. (2024). Ecosystem Science with NISAR: Final Preparations in The Pre-Launch Period. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6628–6630. 1 indexed citations
6.
Lee, Calvin K. F., Guangqin Song, Helene C. Muller‐Landau, et al.. (2023). Cost-effective and accurate monitoring of flowering across multiple tropical tree species over two years with a time series of high-resolution drone imagery and deep learning. ISPRS Journal of Photogrammetry and Remote Sensing. 201. 92–103. 16 indexed citations
7.
Cushman, K. C., John Armston, Ralph Dubayah, et al.. (2023). Impact of leaf phenology on estimates of aboveground biomass density in a deciduous broadleaf forest from simulated GEDI lidar. Environmental Research Letters. 18(6). 65009–65009. 7 indexed citations
8.
Cushman, K. C., Sassan Saatchi, Ronald E. McRoberts, et al.. (2023). Small Field Plots Can Cause Substantial Uncertainty in Gridded Aboveground Biomass Products from Airborne Lidar Data. Remote Sensing. 15(14). 3509–3509. 9 indexed citations
9.
Albert, Loren P., K. C. Cushman, Yuqin Zong, et al.. (2022). Sensitivity of solar-induced fluorescence to spectral stray light in high resolution imaging spectroscopy. Remote Sensing of Environment. 285. 113313–113313. 6 indexed citations
10.
Cushman, K. C., Benedikt Imbach, Sassan Saatchi, et al.. (2021). Impact of a tropical forest blowdown on aboveground carbon balance. Scientific Reports. 11(1). 11279–11279. 8 indexed citations
11.
VanValkenburgh, Parker, et al.. (2020). Lasers Without Lost Cities: Using Drone Lidar to Capture Architectural Complexity at Kuelap, Amazonas, Peru. Journal of Field Archaeology. 45(sup1). S75–S88. 37 indexed citations
12.
Krůček, Martin, et al.. (2020). Supervised Segmentation of Ultra-High-Density Drone Lidar for Large-Area Mapping of Individual Trees. Remote Sensing. 12(19). 3260–3260. 36 indexed citations
13.
Cushman, K. C., et al.. (2020). Comparison of Smartphone and Drone Lidar Methods for Characterizing Spatial Variation in PAI in a Tropical Forest. Remote Sensing. 12(11). 1765–1765. 7 indexed citations
14.
Kellner, James R., John Armston, K. C. Cushman, et al.. (2019). New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar. Surveys in Geophysics. 40(4). 959–977. 125 indexed citations
15.
MacCarty, Nordica, et al.. (2019). Stratification of particulate matter in a kitchen: A comparison of empirical to predicted concentrations and implications for cookstove emissions targets. Energy Sustainable Development. 54. 14–24. 10 indexed citations
16.
Kellner, James R., et al.. (2019). The case for remote sensing of individual plants. American Journal of Botany. 106(9). 1139–1142. 23 indexed citations
17.
Augspurger, Carol K., Susan E. Franson, K. C. Cushman, & Helene C. Muller‐Landau. (2016). Intraspecific variation in seed dispersal of a Neotropical tree and its relationship to fruit and tree traits. Ecology and Evolution. 6(4). 1128–1142. 20 indexed citations
18.
Augspurger, Carol K., Susan E. Franson, & K. C. Cushman. (2016). Wind dispersal is predicted by tree, not diaspore, traits in comparisons of Neotropical species. Functional Ecology. 31(4). 808–820. 14 indexed citations
19.
Cushman, K. C., Helene C. Muller‐Landau, Richard Condit, & Stephen P. Hubbell. (2014). Improving estimates of biomass change in buttressed trees using tree taper models. Methods in Ecology and Evolution. 5(6). 573–582. 52 indexed citations
20.
Mizrachi, Eshchar, Charles A. Hefer, Timothy J. Tschaplinski, et al.. (2011). Genetic dissection of transcript, metabolite, growth and wood property traits in an F2 pseudo-backcross pedigree of Eucalyptus grandis x E. urophylla. BMC Proceedings. 5(S7). 1 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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2026