L. Spaete

952 total citations
24 papers, 676 citations indexed

About

L. Spaete is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, L. Spaete has authored 24 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 16 papers in Environmental Engineering and 10 papers in Global and Planetary Change. Recurrent topics in L. Spaete's work include Remote Sensing and LiDAR Applications (16 papers), Fire effects on ecosystems (9 papers) and Remote Sensing in Agriculture (8 papers). L. Spaete is often cited by papers focused on Remote Sensing and LiDAR Applications (16 papers), Fire effects on ecosystems (9 papers) and Remote Sensing in Agriculture (8 papers). L. Spaete collaborates with scholars based in United States, Australia and Mexico. L. Spaete's co-authors include Nancy F. Glenn, Jessica J. Mitchell, DeWayne R. Derryberry, Douglas J. Shinneman, Susan K. McIlroy, Robert S. Arkle, David S. Pilliod, R. Shrestha, Temuulen Tsagaan Sankey and Stuart P. Hardegree and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

L. Spaete

24 papers receiving 656 citations

Peers

L. Spaete

ECOLO

GPC

NLC

Tim Whiteside Australia

Nick Clinton United States

Cici Alexander United Kingdom

Haotian You China

Paul Magdon Germany

Ryan Anderson United States

Oumer S. Ahmed Canada

Christopher Hopkinson Canada

K. Kovacs United States

Annett Frick Germany

Tim Whiteside Australia

L. Spaete

284 ×0.7

365 ×1.0

ECOLO

250 ×0.9

GPC

117 ×0.8

NLC

96 ×0.8

Citations per year, relative to L. Spaete L. Spaete (= 1×) peers Tim Whiteside

Countries citing papers authored by L. Spaete

Since Specialization

Citations

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

Fields of papers citing papers by L. Spaete

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Spaete

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

All Works

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20 of 20 papers shown

Ghahremani, Zahra, David P. Huber, Ryan Will, et al.. (2023). Controls on the presence and storage of soil inorganic carbon in a semi-arid watershed. CATENA. 225. 106980–106980. 10 indexed citations

Glenn, Nancy F., C. A. Hiemstra, Christopher Tennant, et al.. (2021). Tree canopy and snow depth relationships at fine scales with terrestrial laser scanning. The cryosphere. 15(5). 2187–2209. 32 indexed citations

Glenn, Nancy F., Fabian Schneider, Hamid Dashti, et al.. (2021). Airborne and Spaceborne Lidar Reveal Trends and Patterns of Functional Diversity in a Semi-Arid Ecosystem. SHILAP Revista de lepidopterología. 2. 15 indexed citations

Graham, Jake D., Nancy F. Glenn, L. Spaete, & Paul J. Hanson. (2020). Characterizing Peatland Microtopography Using Gradient and Microform-Based Approaches. Ecosystems. 23(7). 1464–1480. 29 indexed citations

Dashti, Hamid, Nancy F. Glenn, L. Spaete, et al.. (2019). Regional Scale Dryland Vegetation Classification with an Integrated Lidar-Hyperspectral Approach. Remote Sensing. 11(18). 2141–2141. 12 indexed citations

Dashti, Hamid, Nancy F. Glenn, Susan L. Ustin, et al.. (2019). Empirical Methods for Remote Sensing of Nitrogen in Drylands May Lead to Unreliable Interpretation of Ecosystem Function. IEEE Transactions on Geoscience and Remote Sensing. 57(6). 3993–4004. 18 indexed citations

Currier, William Ryan, Justin M. Pflug, Giulia Mazzotti, et al.. (2019). Comparing Aerial Lidar Observations With Terrestrial Lidar and Snow‐Probe Transects From NASA's 2017 SnowEx Campaign. Water Resources Research. 55(7). 6285–6294. 61 indexed citations

Glenn, Nancy F., Hamid Dashti, T. H. Painter, et al.. (2018). Constraining plant functional types in a semi-arid ecosystem with waveform lidar. Remote Sensing of Environment. 209. 497–509. 12 indexed citations

Glenn, Nancy F., et al.. (2018). Resolving the Influence of Forest-Canopy Structure on Snow Depth Distributions with Terrestrial Laser Scanning. Scholar Works (Boise State University). 6284–6286. 1 indexed citations

10.

Glenn, Nancy F., L. Spaete, Douglas J. Shinneman, et al.. (2017). Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe. Environmental Monitoring and Assessment. 189(11). 578–578. 8 indexed citations

11.

Li, Aihua, Nancy F. Glenn, L. Spaete, et al.. (2017). Lidar Aboveground Vegetation Biomass Estimates in Shrublands: Prediction, Uncertainties and Application to Coarser Scales. Remote Sensing. 9(9). 903–903. 67 indexed citations

12.

Forbey, Jennifer S., Gail L. Patricelli, Donna Delparte, et al.. (2017). Emerging technology to measure habitat quality and behavior of grouse: examples from studies of greater sage-grouse. Wildlife Biology. 2017(SP1). 5 indexed citations

13.

Glenn, Nancy F., L. Spaete, R. Shrestha, et al.. (2017). Shrubland Species Cover, Biometric, Carbon and Nitrogen Data, Southern Idaho, 2014. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 5 indexed citations

14.

Glenn, Nancy F., Amy Neuenschwander, Lee A. Vierling, et al.. (2016). Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass. Remote Sensing of Environment. 185. 233–242. 73 indexed citations

15.

Will, Ryan, et al.. (2015). Spatial patterns of vegetation biomass and soil organic carbon acquired from airborne lidar and hyperspectral imagery at Reynolds Creek Critical Zone Observatory. AGU Fall Meeting Abstracts. 2015. 1 indexed citations

16.

Shrestha, R., et al.. (2013). Airborne LiDAR and Terrestrial Laser Scanning Derived Vegetation Obstruction Factors for Visibility Models. Transactions in GIS. 18(1). 147–160. 35 indexed citations

17.

Shrestha, R., et al.. (2013). Improved visibility calculations with tree trunk obstruction modeling from aerial LiDAR. International Journal of Geographical Information Systems. 27(10). 1865–1883. 30 indexed citations

18.

Spaete, L., Nancy F. Glenn, DeWayne R. Derryberry, et al.. (2010). Vegetation and slope effects on accuracy of a LiDAR-derived DEM in the sagebrush steppe. Remote Sensing Letters. 2(4). 317–326. 67 indexed citations

19.

Glenn, Nancy F., L. Spaete, Temuulen Tsagaan Sankey, et al.. (2010). Errors in LiDAR-derived shrub height and crown area on sloped terrain. Journal of Arid Environments. 75(4). 377–382. 68 indexed citations

20.

French, Nancy H. F., et al.. (2007). Variability in fuel consumption in fire-effected boreal and western North American forest regions. Digital Commons - Michigan Tech (Michigan Technological University). 2007. 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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