Brian N. Bailey

2.5k total citations
65 papers, 1.9k citations indexed

About

Brian N. Bailey is a scholar working on Global and Planetary Change, Plant Science and Ecology. According to data from OpenAlex, Brian N. Bailey has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Global and Planetary Change, 29 papers in Plant Science and 16 papers in Ecology. Recurrent topics in Brian N. Bailey's work include Plant Water Relations and Carbon Dynamics (30 papers), Greenhouse Technology and Climate Control (15 papers) and Remote Sensing in Agriculture (14 papers). Brian N. Bailey is often cited by papers focused on Plant Water Relations and Carbon Dynamics (30 papers), Greenhouse Technology and Climate Control (15 papers) and Remote Sensing in Agriculture (14 papers). Brian N. Bailey collaborates with scholars based in United States, Argentina and Canada. Brian N. Bailey's co-authors include Roberto Docampo, Rob Stoll, Eric Oldfield, Walter F. Mahaffee, Julio A. Urbina, Michael Martin, Juan B. Rodríguez, Sergio H. Szajnman, Eleonora Elhalem and Silvia N.J. Moreno and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Fluid Mechanics and Remote Sensing of Environment.

In The Last Decade

Brian N. Bailey

57 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian N. Bailey United States 24 437 421 413 403 359 65 1.9k
Fa Liu China 29 372 0.9× 798 1.9× 112 0.3× 63 0.2× 150 0.4× 130 2.4k
Ran Liu China 31 151 0.3× 1.1k 2.5× 41 0.1× 110 0.3× 77 0.2× 137 2.5k
Xiaoxia Wang China 29 27 0.1× 688 1.6× 283 0.7× 251 0.6× 298 0.8× 106 2.4k
Akihiro Yamazaki Japan 27 129 0.3× 485 1.2× 119 0.3× 203 0.5× 1.2k 3.5× 147 2.6k
Tingting Yang China 24 378 0.9× 468 1.1× 49 0.1× 279 0.7× 44 0.1× 155 2.1k
Akira Kondo Japan 29 43 0.1× 528 1.3× 712 1.7× 118 0.3× 395 1.1× 188 2.9k
John E. Erickson United States 29 220 0.5× 696 1.7× 75 0.2× 56 0.1× 300 0.8× 141 3.2k
Ye Wang China 23 82 0.2× 381 0.9× 108 0.3× 63 0.2× 256 0.7× 87 1.5k
Shoujun Chen China 32 465 1.1× 894 2.1× 19 0.0× 117 0.3× 598 1.7× 101 3.2k
Choong‐Min Kang United States 27 41 0.1× 797 1.9× 501 1.2× 436 1.1× 198 0.6× 77 2.7k

Countries citing papers authored by Brian N. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Brian N. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian N. Bailey. 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 Brian N. Bailey. The network helps show where Brian N. Bailey may publish in the future.

Co-authorship network of co-authors of Brian N. Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Brian N. Bailey. A scholar is included among the top collaborators of Brian N. Bailey 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 Brian N. Bailey. Brian N. Bailey 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.
Bailey, Brian N.. (2025). Calculation of the fraction of sunlit and shaded leaf area in heterogeneous canopies with discontinuous plant crowns. Agricultural and Forest Meteorology. 372. 110680–110680.
2.
Bailey, Brian N., et al.. (2025). Automated calibration of stomatal conductance models from thermal imagery by leveraging synthetic images generated from Helios 3D biophysical model simulations. Journal of Experimental Botany. 77(2). 312–329. 1 indexed citations
3.
Bailey, Brian N., et al.. (2025). PhoTorch: a robust and generalized biochemical photosynthesis model fitting package based on PyTorch. Photosynthesis Research. 163(2). 21–21.
4.
Guan, Kaiyu, Sheng Wang, Brian N. Bailey, et al.. (2025). Impact of vertical and seasonal variation in leaf traits on simulating soybean canopy photosynthesis via 1D and 3D modeling. Agricultural and Forest Meteorology. 377. 110941–110941.
5.
Bailey, Brian N., et al.. (2025). Generation of labeled leaf point clouds for plants trait estimation. Plant Phenomics. 7(3). 100071–100071.
6.
Fu, Kaiming, et al.. (2025). Analysis of a dynamically adjustable multi-level soft fruit catching system design for mechanical harvesting. Smart Agricultural Technology. 12. 101228–101228.
7.
Bailey, Brian N., et al.. (2024). Does intensity-based weighting of multiple-return terrestrial LiDAR data improve leaf area density estimates?. Remote Sensing of Environment. 311. 114229–114229. 2 indexed citations
8.
9.
Tong, Lei & Brian N. Bailey. (2024). A text-based, generative deep learning model for soil reflectance spectrum simulation in the solar range (400–2499 nm). Remote Sensing of Environment. 318. 114527–114527. 1 indexed citations
10.
Bailey, Brian N., et al.. (2023). Topological and spatial analysis of within-tree fruiting characteristics for walnut trees. Scientia Horticulturae. 318. 112127–112127. 2 indexed citations
11.
Bailey, Brian N., et al.. (2020). One-dimensional models of radiation transfer in heterogeneous canopies: a review, re-evaluation, and improved model. Geoscientific model development. 13(10). 4789–4808. 16 indexed citations
12.
Bailey, Brian N.. (2019). Helios: A Scalable 3D Plant and Environmental Biophysical Modeling Framework. Frontiers in Plant Science. 10. 1185–1185. 48 indexed citations
13.
Bailey, Brian N., et al.. (2019). Evaluating the use of Beer's law for estimating light interception in canopy architectures with varying heterogeneity and anisotropy. Ecological Modelling. 406. 133–143. 28 indexed citations
14.
Hooper, Clare, Brian N. Bailey, Hugh Glaser, & James Hendler. (2016). Social machines in practice: solutions, stakeholders and scopes. 156–160. 7 indexed citations
15.
Qiu, Mingfeng, Brian N. Bailey, Rob Stoll, & Bart Raeymaekers. (2013). The accuracy of the compressible Reynolds equation for predicting the local pressure in gas-lubricated textured parallel slider bearings. Tribology International. 72. 83–89. 25 indexed citations
16.
Bailey, Brian N.. (2012). Rebuilding through Innovation. 24(3).
17.
Moreno, Benjamin, Cláudia O. Rodrigues, Brian N. Bailey, et al.. (2002). Magic‐angle spinning 31P NMR spectroscopy of condensed phosphates in parasitic protozoa: visualizing the invisible. FEBS Letters. 523(1-3). 207–212. 30 indexed citations
18.
Rodríguez, Noris, Brian N. Bailey, Michael Martin, et al.. (2002). Radical Cure of Experimental Cutaneous Leishmaniasis by the Bisphosphonate Pamidronate. The Journal of Infectious Diseases. 186(1). 138–140. 70 indexed citations
19.
Moreno, Benjamin, Brian N. Bailey, Shuhong Luo, et al.. (2001). 31P NMR of Apicomplexans and the Effects of Risedronate on Cryptosporidium parvum Growth. Biochemical and Biophysical Research Communications. 284(3). 632–637. 39 indexed citations
20.
Urbina, Julio A., Benjamin Moreno, Eric Oldfield, et al.. (1999). Trypanosoma cruzi Contains Major Pyrophosphate Stores, and Its Growth in Vitro and in Vivo Is Blocked by Pyrophosphate Analogs. Journal of Biological Chemistry. 274(47). 33609–33615. 125 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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