Nadia Shakoor

2.0k total citations · 1 hit paper
36 papers, 1.4k citations indexed

About

Nadia Shakoor is a scholar working on Plant Science, Ecology and Genetics. According to data from OpenAlex, Nadia Shakoor has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 14 papers in Ecology and 10 papers in Genetics. Recurrent topics in Nadia Shakoor's work include Remote Sensing in Agriculture (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Smart Agriculture and AI (8 papers). Nadia Shakoor is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Smart Agriculture and AI (8 papers). Nadia Shakoor collaborates with scholars based in United States, United Kingdom and Belgium. Nadia Shakoor's co-authors include Todd C. Mockler, Scott Lee, Maitiniyazi Maimaitijiang, Vasit Sagan, Paheding Sidike, Felix Fritschi, Matthew Maimaitiyiming, Kyle T. Peterson, Sean Hartling and Maria Newcomb and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Remote Sensing of Environment.

In The Last Decade

Nadia Shakoor

34 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review

2024 46 citations Sourav Bhadra, Nurzaman Ahmed et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nadia Shakoor United States	16	829	592	347	233	152	36	1.4k
Peter Lootens Belgium	24	1.1k 1.3×	630 1.1×	269 0.8×	92 0.4×	169 1.1×	87	1.9k
Pedro Andrade-Sánchez United States	18	1.3k 1.6×	557 0.9×	235 0.7×	262 1.1×	149 1.0×	41	1.7k
David M. Deery Australia	14	1.0k 1.2×	605 1.0×	330 1.0×	228 1.0×	156 1.0×	22	1.4k
Weiliang Wen China	19	1.0k 1.3×	507 0.9×	368 1.1×	138 0.6×	104 0.7×	90	1.4k
Muhammad Adeel Hassan China	16	887 1.1×	679 1.1×	301 0.9×	142 0.6×	129 0.8×	29	1.3k
Michael P. Pound United Kingdom	21	1.8k 2.2×	444 0.8×	299 0.9×	151 0.6×	132 0.9×	50	2.3k
Omar Vergara‐Díaz Spain	20	1.1k 1.3×	772 1.3×	329 0.9×	126 0.5×	248 1.6×	37	1.5k
Xavier Sirault Australia	22	1.7k 2.1×	673 1.1×	429 1.2×	281 1.2×	233 1.5×	38	2.2k
Larissa Pereira Ribeiro Teodoro Brazil	20	1.3k 1.5×	693 1.2×	242 0.7×	129 0.6×	168 1.1×	209	2.0k
Francisco Pinto Mexico	19	1.0k 1.3×	866 1.5×	241 0.7×	268 1.2×	97 0.6×	37	1.6k

Countries citing papers authored by Nadia Shakoor

Since Specialization

Citations

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

Fields of papers citing papers by Nadia Shakoor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Shakoor

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Shakoor. A scholar is included among the top collaborators of Nadia Shakoor 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 Nadia Shakoor. Nadia Shakoor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Murray, Emily R., et al.. (2025). Soil depth determines the microbial communities in Sorghum bicolor fields within a uniform regional environment. Microbiology Spectrum. 13(6). e0292824–e0292824.

Ahmed, Nurzaman & Nadia Shakoor. (2025). Advancing agriculture through IoT, Big Data, and AI: A review of smart technologies enabling sustainability. Smart Agricultural Technology. 10. 100848–100848. 13 indexed citations

Zhang, Zhihai, João Paulo Gomes Viana, Bosen Zhang, et al.. (2024). Major impacts of widespread structural variation on sorghum. Genome Research. 34(2). 286–299. 5 indexed citations

Sagan, Vasit, et al.. (2024). Soil Carbon Estimation From Hyperspectral Imagery With Wavelet Decomposition and Frame Theory. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 5 indexed citations

Ziegler, Gregory R., Scott Lee, César Lizárraga, et al.. (2024). Longitudinal genome-wide association study reveals early QTL that predict biomass accumulation under cold stress in sorghum. Frontiers in Plant Science. 15. 1278802–1278802. 2 indexed citations

Ahmed, Nurzaman, Flavio Esposito, & Nadia Shakoor. (2024). Bridging IoT Education Through Activities: A Game-Oriented Approach with Real-time Data Visualization. 1–6. 1 indexed citations

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

Ahmed, Nurzaman, et al.. (2023). Machine learning-based prediction of sorghum biomass from UAV multispectral imagery data. 1–5. 3 indexed citations

Newcomb, Maria, Marco Maccaferri, Cristian Forestan, et al.. (2022). Genome Wide Association Study Uncovers the QTLome for Osmotic Adjustment and Related Drought Adaptive Traits in Durum Wheat. Genes. 13(2). 293–293. 15 indexed citations

10.

Shakoor, Nadia, et al.. (2022). Comparing Deep Learning Approaches for Understanding Genotype × Phenotype Interactions in Biomass Sorghum. Frontiers in Artificial Intelligence. 5. 872858–872858. 8 indexed citations

11.

Shakoor, Nadia & Todd C. Mockler. (2022). Wireless Fixed Camera Network for Greenhouse-Based Plant Phenotyping. Methods in molecular biology. 2539. 49–56.

12.

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

13.

Lozano, Roberto, Élodie Gazave, J. Santos, et al.. (2021). Comparative evolutionary genetics of deleterious load in sorghum and maize. Nature Plants. 7(1). 17–24. 55 indexed citations

14.

Shakoor, Nadia, et al.. (2021). The Impact of Trade Facilitation on Trade Flow in Asian Countries. Journal of Business & Financial Affairs. 10(1). 1–9. 2 indexed citations

15.

Boatwright, J. Lucas, Zachary Brenton, Richard Boyles, et al.. (2021). Genetic characterization of aSorghum bicolormultiparent mapping population emphasizing carbon-partitioning dynamics. G3 Genes Genomes Genetics. 11(4). 24 indexed citations

16.

Ren, Chao, et al.. (2021). Multi-resolution Outlier Pooling for Sorghum Classification. 5 indexed citations

17.

Maimaitijiang, Maitiniyazi, Vasit Sagan, Maria Newcomb, et al.. (2020). UAV-BASED SORGHUM GROWTH MONITORING: A COMPARATIVE ANALYSIS OF LIDAR AND PHOTOGRAMMETRY. SHILAP Revista de lepidopterología. V-3-2020. 489–496. 27 indexed citations

18.

Shakoor, Nadia, Scott Lee, & Todd C. Mockler. (2017). High throughput phenotyping to accelerate crop breeding and monitoring of diseases in the field. Current Opinion in Plant Biology. 38. 184–192. 247 indexed citations

19.

Shakoor, Nadia, Brian P. Dilkes, Zachary Brenton, et al.. (2016). Integration of Experiments across Diverse Environments Identifies the Genetic Determinants of Variation in Sorghum bicolor Seed Element Composition. PLANT PHYSIOLOGY. 170(4). 1989–1998. 44 indexed citations

20.

Brenton, Zachary, Elizabeth Cooper, Richard Boyles, et al.. (2016). A Genomic Resource for the Development, Improvement, and Exploitation of Sorghum for Bioenergy. Genetics. 204(1). 21–33. 95 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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