Sarah Graves

3.1k total citations · 1 hit paper
25 papers, 769 citations indexed

About

Sarah Graves is a scholar working on Ecology, Ecological Modeling and Environmental Engineering. According to data from OpenAlex, Sarah Graves has authored 25 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 11 papers in Ecological Modeling and 10 papers in Environmental Engineering. Recurrent topics in Sarah Graves's work include Remote Sensing in Agriculture (15 papers), Species Distribution and Climate Change (11 papers) and Remote Sensing and LiDAR Applications (10 papers). Sarah Graves is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Species Distribution and Climate Change (11 papers) and Remote Sensing and LiDAR Applications (10 papers). Sarah Graves collaborates with scholars based in United States, Panama and Netherlands. Sarah Graves's co-authors include Stephanie Bohlman, Sami W. Rifai, Anton Schneider, Damien Sulla‐Menashe, Andrew J. Tatem, Josephine A. Horton, Forrest R. Stevens, Arish Dastur, Nirav Patel and Ian Schelly and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and PLoS Biology.

In The Last Decade

Sarah Graves

23 papers receiving 755 citations

Hit Papers

A new urban landscape in ... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sarah Graves 318 250 205 138 87 25 769
Zhao Zhi 346 1.1× 200 0.8× 192 0.9× 103 0.7× 127 1.5× 36 692
Michael Mirtl 333 1.0× 204 0.8× 99 0.5× 149 1.1× 118 1.4× 24 705
Arijit Roy 545 1.7× 268 1.1× 170 0.8× 135 1.0× 109 1.3× 74 952
Silvana Amaral 755 2.4× 276 1.1× 205 1.0× 182 1.3× 91 1.0× 66 1.1k
Ileana Pătru-Stupariu 592 1.9× 261 1.0× 134 0.7× 106 0.8× 60 0.7× 50 987
Bronwyn Price 513 1.6× 410 1.6× 145 0.7× 197 1.4× 156 1.8× 32 939
G.W. Hazeu 564 1.8× 330 1.3× 136 0.7× 78 0.6× 49 0.6× 51 874
Francesco Geri 484 1.5× 277 1.1× 118 0.6× 237 1.7× 79 0.9× 37 840
Nuno Guiomar 761 2.4× 355 1.4× 171 0.8× 164 1.2× 57 0.7× 50 1.2k

Countries citing papers authored by Sarah Graves

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Graves

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Graves. A scholar is included among the top collaborators of Sarah Graves 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 Sarah Graves. Sarah Graves 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.
Cruz, Jennyffer, Sarah Graves, Stephanie Bohlman, et al.. (2025). Large, isolated trees have higher mortality than smaller trees in forest fragments across a tropical pastoral landscape. Ecological Applications. 35(4). e70046–e70046.
2.
Graves, Sarah, Ben Weinstein, S. K. Morgan Ernest, et al.. (2025). Facilitating macrosystem biology with organismal‐scale airborne remote sensing: Challenges and opportunities. Functional Ecology.
3.
Weinstein, Ben, Sergio Marconi, Alina Zare, et al.. (2024). Individual canopy tree species maps for the National Ecological Observatory Network. PLoS Biology. 22(7). e3002700–e3002700. 4 indexed citations
4.
Graves, Sarah, Sergio Marconi, Ben Weinstein, et al.. (2023). Data science competition for cross-site individual tree species identification from airborne remote sensing data. PeerJ. 11. e16578–e16578. 2 indexed citations
5.
Weinstein, Ben, Sergio Marconi, Sarah Graves, et al.. (2023). Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model. Remote Sensing in Ecology and Conservation. 9(5). 656–670. 8 indexed citations
6.
Graves, Sarah, Jefferson S. Hall, Pieter A. Zuidema, et al.. (2022). Species‐level tree crown maps improve predictions of tree recruit abundance in a tropical landscape. Ecological Applications. 32(5). e2585–e2585. 9 indexed citations
7.
Marconi, Sergio, Ben Weinstein, Sarah Graves, et al.. (2022). Injecting Domain Knowledge Into Deep Neural Networks for Tree Crown Delineation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–19. 8 indexed citations
8.
Marconi, Sergio, Sarah Graves, Ben Weinstein, Stephanie Bohlman, & Ethan P. White. (2021). Estimating individual‐level plant traits at scale. Ecological Applications. 31(4). e02300–e02300. 9 indexed citations
9.
Weinstein, Ben, Sarah Graves, Sergio Marconi, et al.. (2021). A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network. PLoS Computational Biology. 17(7). e1009180–e1009180. 28 indexed citations
10.
Graves, Sarah, T. Trevor Caughlin, Gregory P. Asner, & Stephanie Bohlman. (2018). A tree-based approach to biomass estimation from remote sensing data in a tropical agricultural landscape. Remote Sensing of Environment. 218. 32–43. 29 indexed citations
11.
Walker, John R., et al.. (2017). Deployment of Small Unmanned Aerial Systems (sUAS) in Emergency and Disaster Response Scenarios to Support Local Emergency Management Agencies. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
12.
Caughlin, T. Trevor, Sami W. Rifai, Sarah Graves, Gregory P. Asner, & Stephanie Bohlman. (2016). Integrating Li DAR ‐derived tree height and Landsat satellite reflectance to estimate forest regrowth in a tropical agricultural landscape. Remote Sensing in Ecology and Conservation. 2(4). 190–203. 27 indexed citations
13.
Gader, Paul, et al.. (2016). One-Class Gaussian Process for Possibilistic Classification Using Imaging Spectroscopy. IEEE Geoscience and Remote Sensing Letters. 13(7). 967–971. 3 indexed citations
14.
Bohlman, Stephanie, et al.. (2015). Understanding species composition from NEON high resolution hyperspectral-LIDAR data across a heterogeneous landscape: Effects of land use, fire regime and topography. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
15.
Schneider, Anton, Andrew J. Tatem, Bin Tan, et al.. (2015). A new urban landscape in East–Southeast Asia, 2000–2010. Environmental Research Letters. 10(3). 34002–34002. 378 indexed citations breakdown →
16.
Wang, Daisy Zhe, et al.. (2015). Impact of atmospheric correction and image filtering on hyperspectral classification of tree species using support vector machine. Journal of Applied Remote Sensing. 9(1). 95990–95990. 10 indexed citations
17.
Graves, Sarah, Sami W. Rifai, & Francis E. Putz. (2014). Outer bark thickness decreases more with height on stems of fire‐resistant than fire‐sensitive Floridian oaks (Quercus spp.; Fagaceae). American Journal of Botany. 101(12). 2183–2188. 63 indexed citations
18.
19.
Graves, Sarah, et al.. (2011). Educational Resource Review. Journal of Hospitality Leisure Sport & Tourism Education. 10(2). 129–133. 2 indexed citations
20.
Graves, Sarah, et al.. (2009). Urban Forest Assessment. 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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