David LeBauer

5.8k total citations · 1 hit paper
44 papers, 3.9k citations indexed

About

David LeBauer is a scholar working on Plant Science, Global and Planetary Change and Ecology. According to data from OpenAlex, David LeBauer has authored 44 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 11 papers in Global and Planetary Change and 10 papers in Ecology. Recurrent topics in David LeBauer's work include Bioenergy crop production and management (7 papers), Remote Sensing in Agriculture (6 papers) and Plant Water Relations and Carbon Dynamics (6 papers). David LeBauer is often cited by papers focused on Bioenergy crop production and management (7 papers), Remote Sensing in Agriculture (6 papers) and Plant Water Relations and Carbon Dynamics (6 papers). David LeBauer collaborates with scholars based in United States, United Kingdom and China. David LeBauer's co-authors include Kathleen K. Treseder, Michael C. Dietze, Stephen P. Long, Kate M. Scow, Christian M. Leutenegger, Louise E. Jackson, R. Ford Denison, Krassimira R. Hristova, Rob Kooper and Carl C. Davidson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Ecology.

In The Last Decade

David LeBauer

43 papers receiving 3.8k citations

Hit Papers

NITROGEN LIMITATION OF NET PRIMARY PRODUCTIVITY IN TERRES... 2008 2026 2014 2020 2008 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David LeBauer United States 21 1.7k 1.4k 1.2k 1.1k 756 44 3.9k
Weixing Zhu United States 33 1.8k 1.1× 1.3k 0.9× 1.0k 0.8× 1.3k 1.2× 791 1.0× 99 4.2k
Honghua Ruan China 36 2.2k 1.3× 1.6k 1.2× 1.1k 0.9× 730 0.7× 762 1.0× 187 4.4k
Lifen Jiang China 30 1.7k 1.0× 1.9k 1.4× 936 0.8× 993 0.9× 614 0.8× 94 4.0k
Dashuan Tian China 33 3.0k 1.8× 1.9k 1.3× 1.3k 1.1× 1.1k 1.0× 772 1.0× 108 4.8k
Hui Guo China 35 1.6k 0.9× 1.2k 0.8× 1.2k 1.0× 1.0k 1.0× 446 0.6× 170 4.0k
De‐Hui Zeng China 35 1.9k 1.1× 1.0k 0.7× 784 0.6× 612 0.6× 847 1.1× 125 3.1k
Weixing Liu China 33 2.3k 1.4× 1.5k 1.0× 1.4k 1.1× 1.1k 1.0× 650 0.9× 79 4.1k
Abad Chabbi France 32 2.6k 1.5× 1.6k 1.1× 970 0.8× 627 0.6× 338 0.4× 87 4.1k
Cheng‐Yuan Xu Australia 34 1.6k 0.9× 802 0.6× 1.6k 1.3× 663 0.6× 626 0.8× 83 3.9k
Li Xu China 36 1.2k 0.7× 1.1k 0.8× 1.3k 1.0× 1.4k 1.3× 840 1.1× 149 4.7k

Countries citing papers authored by David LeBauer

Since Specialization
Citations

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

Fields of papers citing papers by David LeBauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David LeBauer

This figure shows the co-authorship network connecting the top 25 collaborators of David LeBauer. A scholar is included among the top collaborators of David LeBauer 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 David LeBauer. David LeBauer 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.
Roxas, Jennifer Lising, et al.. (2025). CAT-GxD: Centralized access to gene expression datasets. Anaerobe. 96. 103005–103005.
2.
Lachowiec, Jennifer, et al.. (2024). Adoption of unoccupied aerial systems in agricultural research. SHILAP Revista de lepidopterología. 7(1). 6 indexed citations
3.
Sagan, Vasit, Haireti Alifu, Maria Newcomb, et al.. (2023). Early Detection of Drought Stress in Durum Wheat Using Hyperspectral Imaging and Photosystem Sensing. Remote Sensing. 16(1). 155–155. 7 indexed citations
4.
Meredith, Laura, et al.. (2023). Automating methods for estimating metabolite volatility. Frontiers in Microbiology. 14. 1267234–1267234. 6 indexed citations
5.
Davis, Sarah C., John T. Abatzoglou, & David LeBauer. (2021). Expanded Potential Growing Region and Yield Increase for Agave americana with Future Climate. Agronomy. 11(11). 2109–2109. 13 indexed citations
6.
Sagan, Vasit, Maitiniyazi Maimaitijiang, Sidike Paheding, et al.. (2021). Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–20. 31 indexed citations
7.
Field, John, Tom L. Richard, Erica A. H. Smithwick, et al.. (2020). Robust paths to net greenhouse gas mitigation and negative emissions via advanced biofuels. Proceedings of the National Academy of Sciences. 117(36). 21968–21977. 128 indexed citations
8.
Chamberlain, Scott, Zachary Foster, Ígnasi Bartomeus, et al.. (2020). Species Trait Data from Around the Web [R package traits version 0.5.0]. 1 indexed citations
9.
Jaiswal, Deepak, Amanda P. De Souza, Søren Larsen, et al.. (2019). Reply to: Brazilian ethanol expansion subject to limitations. Nature Climate Change. 9(3). 211–212. 8 indexed citations
10.
Babaeian, Ebrahim, Paheding Sidike, Maria Newcomb, et al.. (2019). A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture. Frontiers in Big Data. 2. 37–37. 36 indexed citations
11.
LeBauer, David, et al.. (2019). UA Open Drone Processing Pipeline (alpha). OSF Preprints (OSF Preprints). 1 indexed citations
12.
Jaiswal, Deepak, Amanda P. De Souza, Søren Larsen, et al.. (2017). Brazilian sugarcane ethanol as an expandable green alternative to crude oil use. Nature Climate Change. 7(11). 788–792. 117 indexed citations
13.
Kooper, Rob, et al.. (2017). Data Flow for the TERRA-REF project. AGUFM. 2017. 1 indexed citations
14.
Hart, Edmund, P. Barmby, David LeBauer, et al.. (2016). Ten simple rules for digital data storage. 1 indexed citations
15.
Davis, Sarah C., David LeBauer, & Stephen P. Long. (2014). Light to liquid fuel: theoretical and realized energy conversion efficiency of plants using Crassulacean Acid Metabolism (CAM) in arid conditions. Journal of Experimental Botany. 65(13). 3471–3478. 36 indexed citations
16.
Wang, Dan, David LeBauer, & Michael C. Dietze. (2012). Predicting yields of short‐rotation hybrid poplar (Populus spp.) for the United States through model–data synthesis. Ecological Applications. 23(4). 944–958. 39 indexed citations
17.
LeBauer, David, et al.. (2012). Facilitating feedbacks between field measurements and ecosystem models. Ecological Monographs. 83(2). 133–154. 136 indexed citations
18.
Dietze, Michael C., et al.. (2011). The PEcAn Project: Model-Data Ecoinformatics for the Observatory Era. AGU Fall Meeting Abstracts. 2011. 1 indexed citations
19.
LeBauer, David & Kathleen K. Treseder. (2008). NITROGEN LIMITATION OF NET PRIMARY PRODUCTIVITY IN TERRESTRIAL ECOSYSTEMS IS GLOBALLY DISTRIBUTED. Ecology. 89(2). 371–379. 2165 indexed citations breakdown →
20.
LeBauer, David & Kathleen K. Treseder. (2006). Nitrogen Limitation of Terrestrial Net Primary Production: Global Patterns From Field Studies with Nitrogen Fertilization. AGU Fall Meeting Abstracts. 2006. 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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