Scott Chapman

22.0k total citations
230 papers, 12.2k citations indexed

About

Scott Chapman is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Scott Chapman has authored 230 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Plant Science, 78 papers in Agronomy and Crop Science and 51 papers in Genetics. Recurrent topics in Scott Chapman's work include Genetics and Plant Breeding (69 papers), Crop Yield and Soil Fertility (65 papers) and Wheat and Barley Genetics and Pathology (57 papers). Scott Chapman is often cited by papers focused on Genetics and Plant Breeding (69 papers), Crop Yield and Soil Fertility (65 papers) and Wheat and Barley Genetics and Pathology (57 papers). Scott Chapman collaborates with scholars based in Australia, United States and Mexico. Scott Chapman's co-authors include Graeme Hammer, Bangyou Zheng, Karine Chenu, Mark Cooper, M. Fernanda Dreccer, Matthew Reynolds, Erik van Oosterom, Greg McLean, C. Lynne McIntyre and Ky L. Mathews and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Scott Chapman

224 papers receiving 11.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Chapman Australia	63	10.0k	3.8k	2.7k	2.1k	2.0k	230	12.2k
Matthew Reynolds Mexico	87	20.8k 2.1×	8.1k 2.1×	5.0k 1.9×	2.6k 1.2×	1.7k 0.9×	305	23.5k
J. L. Araus Spain	75	15.0k 1.5×	4.4k 1.2×	2.6k 1.0×	4.7k 2.2×	911 0.5×	362	19.4k
Jill E. Cairns Kenya	41	5.5k 0.6×	1.4k 0.4×	1.7k 0.6×	1.6k 0.7×	791 0.4×	90	7.4k
Graeme Hammer Australia	73	13.8k 1.4×	6.8k 1.8×	3.0k 1.1×	1.7k 0.8×	4.5k 2.2×	325	19.1k
G. J. Rebetzke Australia	60	10.3k 1.0×	3.9k 1.0×	2.1k 0.8×	796 0.4×	608 0.3×	162	11.3k
François Tardieu France	71	12.2k 1.2×	2.0k 0.5×	1.9k 0.7×	1.0k 0.5×	1.0k 0.5×	168	14.4k
Jianliang Huang China	57	10.1k 1.0×	1.9k 0.5×	742 0.3×	933 0.4×	2.4k 1.2×	190	12.3k
Anthony G. Condon Australia	42	7.3k 0.7×	2.6k 0.7×	904 0.3×	817 0.4×	442 0.2×	76	8.3k
Gustavo A. Slafer Spain	72	14.3k 1.4×	10.1k 2.6×	1.5k 0.6×	678 0.3×	1.2k 0.6×	233	15.7k
Víctor O. Sadras Australia	67	11.4k 1.1×	5.6k 1.5×	520 0.2×	930 0.4×	2.0k 1.0×	306	14.3k

Countries citing papers authored by Scott Chapman

Since Specialization

Citations

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

Fields of papers citing papers by Scott Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Chapman. A scholar is included among the top collaborators of Scott Chapman 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 Scott Chapman. Scott Chapman 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

Li, Tong, Lizhen Cui, Vilim Filipović, et al.. (2025). From soil health to agricultural productivity: The critical role of soil constraint management. CATENA. 250. 108776–108776. 5 indexed citations

Smith, Daniel, Hannah Robinson, Colin A. Douglas, et al.. (2025). Unmanned aerial vehicle phenotyping of agronomic and physiological traits in mungbean. SHILAP Revista de lepidopterología. 8(1). 2 indexed citations

Alahmad, Samir, Daniel Smith, Karine Chenu, et al.. (2025). Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the field. Journal of Experimental Botany. 76(17). 5161–5178. 1 indexed citations

Xie, Zunyi, Yan Zhao, Miao Zhang, et al.. (2024). Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia. Remote Sensing of Environment. 305. 114070–114070. 18 indexed citations

Voil, Peter de, Andries Potgieter, Yash P. Dang, et al.. (2024). Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data. Agricultural Water Management. 307. 109124–109124.

Hu, Pengcheng, Bangyou Zheng, Qiaomin Chen, et al.. (2024). Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data. Remote Sensing of Environment. 311. 114277–114277. 11 indexed citations

Sinclair, Adrian K., Colin C. Murphy, Steve K. Choi, et al.. (2024). CCAT: detector noise limited performance of the RFSoC-based readout electronics for mm/sub-mm/far-IR KIDs. 152–152. 1 indexed citations

Austermann, Jason E., James A. Beall, Scott Chapman, et al.. (2024). CCAT: design and performance of densely packed, high-frequency, dual-polarization kinetic inductance detectors for the Prime-Cam 850 GHz module. 2. 2–2. 1 indexed citations

Li, Tong, Anquan Xia, Timothy I. McLaren, et al.. (2023). Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy. Remote Sensing. 15(23). 5571–5571. 15 indexed citations

10.

Madec, Simon, Frédéric Baret, Étienne David, et al.. (2023). VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation. Scientific Data. 10(1). 302–302. 20 indexed citations

11.

Chen, Qiaomin, Bangyou Zheng, Tong Chen, & Scott Chapman. (2022). Integrating a crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning. Journal of Experimental Botany. 73(19). 6558–6574. 13 indexed citations

12.

Reynolds, Matthew, Gustavo A. Slafer, J. Foulkes, et al.. (2022). A wiring diagram to integrate physiological traits of wheat yield potential. Nature Food. 3(5). 318–324. 60 indexed citations

13.

Choudhury, Malini Roy, Jack Christopher, Sumanta Das, et al.. (2022). Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parameters. Environmental Technology & Innovation. 27. 102469–102469. 20 indexed citations

14.

Das, Sumanta, Jack Christopher, Armando Apan, et al.. (2021). Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning. Agricultural and Forest Meteorology. 307. 108477–108477. 42 indexed citations

15.

Cooper, Mark, Owen Powell, Kai P. Voss‐Fels, et al.. (2020). Modelling selection response in plant-breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions. 3(1). 37 indexed citations

16.

Choudhury, Malini Roy, Jack Christopher, Armando Apan, et al.. (2020). Integrated High-Throughput Phenotyping with High Resolution Multispectral, Hyperspectral and 3D Point Cloud Techniques for Screening Wheat Genotypes on Sodic Soils. SHILAP Revista de lepidopterología. 206–206. 4 indexed citations

17.

David, Étienne, Simon Madec, Pouria Sadeghi‐Tehran, et al.. (2020). Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods. Plant Phenomics. 2020. 3521852–3521852. 168 indexed citations

18.

Shao, Quanxi, Michael Bange, J. Robert Mahan, et al.. (2018). A new probabilistic forecasting model for canopy temperature with consideration of periodicity and parameter variation. Agricultural and Forest Meteorology. 265. 88–98. 5 indexed citations

19.

Chenu, Karine, Al Doherty, G. J. Rebetzke, & Scott Chapman. (2013). StressMaster: a web application for dynamic modelling of the environment to assist in crop improvement for drought adaptation. Queensland's institutional digital repository (The University of Queensland). 5 indexed citations

20.

Massignam, Ângelo Mendes, Scott Chapman, Graeme Hammer, & S. Fukai. (2001). Canopy architecture and nitrogen utilisation for biomass production: the contrast between maize and sunflower. Queensland's institutional digital repository (The University of Queensland). 3 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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