Lindsey Sloat

2.9k total citations · 3 hit papers
24 papers, 1.1k citations indexed

About

Lindsey Sloat is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Ecology. According to data from OpenAlex, Lindsey Sloat has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, Evolution, Behavior and Systematics, 10 papers in Global and Planetary Change and 8 papers in Ecology. Recurrent topics in Lindsey Sloat's work include Climate change impacts on agriculture (7 papers), Remote Sensing in Agriculture (5 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Lindsey Sloat is often cited by papers focused on Climate change impacts on agriculture (7 papers), Remote Sensing in Agriculture (5 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Lindsey Sloat collaborates with scholars based in United States, Netherlands and China. Lindsey Sloat's co-authors include Paul West, James Gerber, Mario Herrero, D. K. Ray, Cécile Godde, Nathaniel D. Mueller, Steven J. Davis, Brian J. Enquist, Frances C. Moore and Leah Samberg and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lindsey Sloat

23 papers receiving 1.1k citations

Hit Papers

Climate adaptation by crop migration 2018 2026 2020 2023 2020 2018 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lindsey Sloat United States 13 388 310 301 206 193 24 1.1k
Jay P. Angerer United States 20 426 1.1× 207 0.7× 516 1.7× 152 0.7× 387 2.0× 73 1.4k
Josias Sanou Burkina Faso 14 418 1.1× 274 0.9× 304 1.0× 170 0.8× 64 0.3× 38 1.1k
Kangbéni Dimobe Burkina Faso 21 509 1.3× 305 1.0× 452 1.5× 243 1.2× 94 0.5× 69 1.4k
Xueyong Zhao China 20 343 0.9× 203 0.7× 278 0.9× 333 1.6× 124 0.6× 83 1.1k
Sam S. Rabin United States 18 686 1.8× 149 0.5× 225 0.7× 188 0.9× 88 0.5× 35 1.1k
G. C. S. Negi India 19 356 0.9× 121 0.4× 228 0.8× 222 1.1× 154 0.8× 47 1.0k
Greg McKeon Australia 20 490 1.3× 340 1.1× 374 1.2× 194 0.9× 217 1.1× 36 1.2k
Muyi Kang China 23 603 1.6× 122 0.4× 404 1.3× 121 0.6× 251 1.3× 87 1.4k
Jiahui Zhang China 14 481 1.2× 210 0.7× 228 0.8× 349 1.7× 146 0.8× 37 1.2k
G. Gray Tappan United States 18 610 1.6× 277 0.9× 481 1.6× 99 0.5× 228 1.2× 24 1.3k

Countries citing papers authored by Lindsey Sloat

Since Specialization
Citations

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

Fields of papers citing papers by Lindsey Sloat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lindsey Sloat

This figure shows the co-authorship network connecting the top 25 collaborators of Lindsey Sloat. A scholar is included among the top collaborators of Lindsey Sloat 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 Lindsey Sloat. Lindsey Sloat 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.
Sims, Michelle, Maxim Neumann, Lindsey Sloat, et al.. (2025). Global drivers of forest loss at 1 km resolution. Environmental Research Letters. 20(7). 74027–74027. 3 indexed citations
2.
Parente, Leandro, Lindsey Sloat, Vinícius Vieira Mesquita, et al.. (2025). Light use efficiency (LUE) based bimonthly gross primary productivity (GPP) for global grasslands at 30 m spatial resolution (2000–2022). PeerJ. 13. e19774–e19774. 1 indexed citations
3.
4.
Sloat, Lindsey, Yue Qin, Steven J. Davis, et al.. (2025). Historical trends in snowmelt used for irrigation. SHILAP Revista de lepidopterología. 2(1). 15012–15012. 1 indexed citations
5.
Parente, Leandro, Lindsey Sloat, Vinícius Vieira Mesquita, et al.. (2024). Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning. Scientific Data. 11(1). 1303–1303. 12 indexed citations
6.
Gerber, James, D. K. Ray, David Makowski, et al.. (2024). Global spatially explicit yield gap time trends reveal regions at risk of future crop yield stagnation. Nature Food. 5(2). 125–135. 52 indexed citations breakdown →
8.
Maitner, Brian, Aud H. Halbritter, Richard J. Telford, et al.. (2023). Bootstrapping outperforms community‐weighted approaches for estimating the shapes of phenotypic distributions. Methods in Ecology and Evolution. 14(10). 2592–2610. 13 indexed citations
9.
Yang, Yi, Zhenong Jin, Nathaniel D. Mueller, et al.. (2023). Sustainable irrigation and climate feedbacks. Nature Food. 4(8). 654–663. 46 indexed citations
10.
Sloat, Lindsey, Emily V. Fischer, Stephanie K. Kampf, et al.. (2023). Pathways framework identifies wildfire impacts on agriculture. Nature Food. 4(8). 664–672. 9 indexed citations
11.
Ray, D. K., Lindsey Sloat, Andrea Garcia, et al.. (2022). Crop harvests for direct food use insufficient to meet the UN’s food security goal. Nature Food. 3(5). 367–374. 70 indexed citations
12.
Godde, Cécile, Randall B. Boone, Andrew Ash, et al.. (2020). Global rangeland production systems and livelihoods at threat under climate change and variability. Environmental Research Letters. 15(4). 44021–44021. 102 indexed citations
13.
Sloat, Lindsey, Steven J. Davis, James Gerber, et al.. (2020). Climate adaptation by crop migration. Nature Communications. 11(1). 1243–1243. 205 indexed citations breakdown →
14.
Godde, Cécile, Kanar Dizyee, Andrew Ash, et al.. (2019). Climate change and variability impacts on grazing herds: Insights from a system dynamics approach for semi‐arid Australian rangelands. Global Change Biology. 25(9). 3091–3109. 59 indexed citations
15.
Sloat, Lindsey, James Gerber, Leah Samberg, et al.. (2018). Increasing importance of precipitation variability on global livestock grazing lands. Nature Climate Change. 8(3). 214–218. 191 indexed citations breakdown →
16.
Sloat, Lindsey, James Gerber, Leah Samberg, et al.. (2016). Precipitation variability on global pasturelands may affect food security in livestock-dependent regions. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
17.
Blonder, Benjamin, Lindsey Sloat, Brian J. Enquist, & Brian J. McGill. (2014). Separating Macroecological Pattern and Process: Comparing Ecological, Economic, and Geological Systems. PLoS ONE. 9(11). e112850–e112850. 6 indexed citations
18.
Harpold, A. A., et al.. (2013). Changes in snow accumulation and ablation following the Las Conchas Forest Fire, New Mexico, USA. Ecohydrology. 7(2). 440–452. 121 indexed citations
19.
Enquist, Brian J., et al.. (2013). Revisiting Darwin's hypothesis: Does greater intraspecific variability increase species’ ecological breadth?. American Journal of Botany. 101(1). 56–62. 80 indexed citations
20.
Hardy, Christopher R., Lindsey Sloat, & Robert B. Faden. (2009). Floral organogenesis and the developmental basis for pollinator deception in the asiatic dayflower, Commelina communis (Commelinaceae). American Journal of Botany. 96(7). 1236–1244. 11 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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