Jonathon J. Donager

595 total citations · 1 hit paper
7 papers, 465 citations indexed

About

Jonathon J. Donager is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Jonathon J. Donager has authored 7 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nature and Landscape Conservation, 4 papers in Environmental Engineering and 4 papers in Global and Planetary Change. Recurrent topics in Jonathon J. Donager's work include Remote Sensing and LiDAR Applications (4 papers), Fire effects on ecosystems (4 papers) and Forest ecology and management (3 papers). Jonathon J. Donager is often cited by papers focused on Remote Sensing and LiDAR Applications (4 papers), Fire effects on ecosystems (4 papers) and Forest ecology and management (3 papers). Jonathon J. Donager collaborates with scholars based in United States. Jonathon J. Donager's co-authors include Temuulen Tsagaan Sankey, Joel B. Sankey, Jason McVay, Andrew J. Sánchez Meador, Ryan C. Blackburn, Abraham E. Springer, David W. Huffman, Joseph E. Crouse, John D. Bailey and Kyle C. Rodman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Forest Ecology and Management.

In The Last Decade

Jonathon J. Donager

7 papers receiving 454 citations

Hit Papers

UAV lidar and hyperspectral fusion for forest monitoring ... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathon J. Donager United States 6 304 221 135 91 86 7 465
Jason McVay United States 8 340 1.1× 336 1.5× 244 1.8× 77 0.8× 101 1.2× 8 687
Ivan Balenović Croatia 14 378 1.2× 200 0.9× 114 0.8× 174 1.9× 119 1.4× 43 525
Caiti Steele United States 11 233 0.8× 258 1.2× 160 1.2× 87 1.0× 43 0.5× 15 504
M. Schardt Austria 7 235 0.8× 151 0.7× 64 0.5× 70 0.8× 60 0.7× 16 367
Luxia Liu China 7 323 1.1× 288 1.3× 131 1.0× 96 1.1× 33 0.4× 14 435
Elias Fernando Berra Brazil 10 252 0.8× 302 1.4× 155 1.1× 48 0.5× 58 0.7× 21 449
Gabriela Takahashi Miyoshi Brazil 10 322 1.1× 341 1.5× 85 0.6× 36 0.4× 56 0.7× 20 550
Jasmine Muir Australia 11 297 1.0× 276 1.2× 123 0.9× 104 1.1× 47 0.5× 15 497
Milutin Milenković Austria 10 237 0.8× 164 0.7× 96 0.7× 51 0.6× 54 0.6× 22 360

Countries citing papers authored by Jonathon J. Donager

Since Specialization
Citations

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

Fields of papers citing papers by Jonathon J. Donager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathon J. Donager

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathon J. Donager. A scholar is included among the top collaborators of Jonathon J. Donager 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 Jonathon J. Donager. Jonathon J. Donager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Rodman, Kyle C., Joseph E. Crouse, Jonathon J. Donager, David W. Huffman, & Andrew J. Sánchez Meador. (2022). Patterns and drivers of recent land cover change on two trailing-edge forest landscapes. Forest Ecology and Management. 521. 120449–120449. 16 indexed citations
2.
Donager, Jonathon J., Temuulen Tsagaan Sankey, Andrew J. Sánchez Meador, Joel B. Sankey, & Abraham E. Springer. (2021). Integrating airborne and mobile lidar data with UAV photogrammetry for rapid assessment of changing forest snow depth and cover. SHILAP Revista de lepidopterología. 4. 100029–100029. 14 indexed citations
3.
O'Donnell, F. C., et al.. (2021). Vegetation structure controls on snow and soil moisture in restored ponderosa pine forests. Hydrological Processes. 35(11). 12 indexed citations
4.
Donager, Jonathon J., Andrew J. Sánchez Meador, & David W. Huffman. (2021). Southwestern ponderosa pine forest patterns following wildland fires managed for resource benefit differ from reference landscapes. Landscape Ecology. 37(1). 285–304. 5 indexed citations
5.
Donager, Jonathon J., Andrew J. Sánchez Meador, & Ryan C. Blackburn. (2021). Adjudicating Perspectives on Forest Structure: How Do Airborne, Terrestrial, and Mobile Lidar-Derived Estimates Compare?. Remote Sensing. 13(12). 2297–2297. 47 indexed citations
6.
Donager, Jonathon J., Temuulen Tsagaan Sankey, Joel B. Sankey, et al.. (2018). Examining Forest Structure With Terrestrial Lidar: Suggestions and Novel Techniques Based on Comparisons Between Scanners and Forest Treatments. Earth and Space Science. 5(11). 753–776. 20 indexed citations
7.
Sankey, Temuulen Tsagaan, Jonathon J. Donager, Jason McVay, & Joel B. Sankey. (2017). UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA. Remote Sensing of Environment. 195. 30–43. 351 indexed citations breakdown →

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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