Duke Pauli

1.3k total citations
36 papers, 923 citations indexed

About

Duke Pauli is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Duke Pauli has authored 36 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 11 papers in Ecology and 6 papers in Environmental Engineering. Recurrent topics in Duke Pauli's work include Remote Sensing in Agriculture (11 papers), Research in Cotton Cultivation (7 papers) and Wheat and Barley Genetics and Pathology (6 papers). Duke Pauli is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Research in Cotton Cultivation (7 papers) and Wheat and Barley Genetics and Pathology (6 papers). Duke Pauli collaborates with scholars based in United States, Egypt and Australia. Duke Pauli's co-authors include Michael A. Gore, Todd C. Mockler, Kelly R. Thorp, Alison L. Thompson, Nadia Shakoor, Vasit Sagan, Maitiniyazi Maimaitijiang, Maria Newcomb, Kyle T. Peterson and T. K. Blake and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.

In The Last Decade

Duke Pauli

35 papers receiving 903 citations

Peers

Duke Pauli
John T. Heun United States
Jiangchuan Fan China
Maria Newcomb United States
Vidyasagar Sathuvalli United States
William D. Bovill Australia
Shenghao Gu China
Jesper Svensgaard Denmark
Philippe Hamard France
Nicolas Virlet United Kingdom
Muhammad Adeel Hassan China
John T. Heun United States
Duke Pauli
Citations per year, relative to Duke Pauli Duke Pauli (= 1×) peers John T. Heun

Countries citing papers authored by Duke Pauli

Since Specialization
Citations

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

Fields of papers citing papers by Duke Pauli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duke Pauli

This figure shows the co-authorship network connecting the top 25 collaborators of Duke Pauli. A scholar is included among the top collaborators of Duke Pauli 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 Duke Pauli. Duke Pauli 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.
2.
Christenson, C., et al.. (2024). Monitoring cotton water status with microtensiometers. Irrigation Science. 42(5). 995–1011. 3 indexed citations
3.
Christenson, C., Jiahuai Hu, Andrea L. Eveland, et al.. (2024). Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks. SHILAP Revista de lepidopterología. 7(1). 1 indexed citations
4.
Luo, Wenting, Haiquan Li, María José Truco, et al.. (2024). Leaf cuticular wax composition of a genetically diverse collection of lettuce (Lactuca sativa L.) cultivars evaluated under field conditions. Heliyon. 10(5). e27226–e27226. 3 indexed citations
5.
Yu, Liang, Xiaodan Zhang, Jordan R. Brock, et al.. (2024). Regulation of a single inositol 1‐phosphate synthase homeologue by HSFA6B contributes to fibre yield maintenance under drought conditions in upland cotton. Plant Biotechnology Journal. 22(10). 2756–2772. 3 indexed citations
6.
Schnable, James C., et al.. (2024). PlantSegNet: 3D point cloud instance segmentation of nearby plant organs with identical semantics. Computers and Electronics in Agriculture. 221. 108922–108922. 13 indexed citations
7.
Alptekin, Burcu, Duke Pauli, Tom Blake, et al.. (2022). Selection of favorable alleles of genes controlling flowering and senescence improves malt barley quality. Molecular Breeding. 42(10). 59–59. 2 indexed citations
8.
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
9.
Pugh, N. Ace, et al.. (2021). Comparison of image georeferencing strategies for agricultural applications of small unoccupied aircraft systems. SHILAP Revista de lepidopterología. 4(1). 7 indexed citations
10.
Liu, Weizhen, C. Y. Chang, Jeff Melkonian, et al.. (2021). A minimally disruptive method for measuring water potential in planta using hydrogel nanoreporters. Proceedings of the National Academy of Sciences. 118(23). 38 indexed citations
11.
Thorp, Kelly R., et al.. (2021). Assessing Drought and Heat Stress-Induced Changes in the Cotton Leaf Metabolome and Their Relationship With Hyperspectral Reflectance. Frontiers in Plant Science. 12. 751868–751868. 21 indexed citations
12.
Wang, Diane, Martín Venturas, D. S. Mackay, et al.. (2020). Use of hydraulic traits for modeling genotype‐specific acclimation in cotton under drought. New Phytologist. 228(3). 898–909. 8 indexed citations
13.
Thompson, Alison L., Kelly R. Thorp, Matthew M. Conley, et al.. (2019). Comparing Nadir and Multi-Angle View Sensor Technologies for Measuring in-Field Plant Height of Upland Cotton. Remote Sensing. 11(6). 700–700. 31 indexed citations
14.
Nelson, Andrew D. L., Colleen McMahan, Daniel C. Ilut, et al.. (2019). Transcriptomic and evolutionary analysis of the mechanisms by which P. argentatum, a rubber producing perennial, responds to drought. BMC Plant Biology. 19(1). 494–494. 10 indexed citations
15.
Pauli, Duke, Min Ren, Matthew A. Jenks, et al.. (2018). Multivariate Analysis of the Cotton Seed Ionome Reveals a Shared Genetic Architecture. G3 Genes Genomes Genetics. 8(4). 1147–1160. 10 indexed citations
16.
Hazzouri, Khaled M., Basel Khraiwesh, Khaled M. A. Amiri, et al.. (2018). Mapping of HKT1;5 Gene in Barley Using GWAS Approach and Its Implication in Salt Tolerance Mechanism. Frontiers in Plant Science. 9. 156–156. 65 indexed citations
17.
Thompson, Alison L., Duke Pauli, Pernell Tomasi, et al.. (2017). Chemical variation for fiber cuticular wax levels in upland cotton (Gossypium hirsutum L.) evaluated under contrasting irrigation regimes. Industrial Crops and Products. 100. 153–162. 13 indexed citations
18.
Pauli, Duke, Jeffrey W. White, Pedro Andrade-Sánchez, et al.. (2017). Investigation of the Influence of Leaf Thickness on Canopy Reflectance and Physiological Traits in Upland and Pima Cotton Populations. Frontiers in Plant Science. 8. 1405–1405. 31 indexed citations
19.
Pauli, Duke, Scott Chapman, Rebecca Bart, et al.. (2016). The quest for understanding phenotypic variation via integrated approaches in the field environment. PLANT PHYSIOLOGY. 172(2). pp.00592.2016–pp.00592.2016. 108 indexed citations
20.
Pauli, Duke, Gina Brown‐Guedira, & T. K. Blake. (2015). Identification of Malting Quality QTLs in Advanced Generation Breeding Germplasm. Journal of the American Society of Brewing Chemists. 73(1). 29–40. 12 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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