William D. Batchelor

11.1k total citations · 2 hit papers
163 papers, 8.2k citations indexed

About

William D. Batchelor is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, William D. Batchelor has authored 163 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Plant Science, 43 papers in Agronomy and Crop Science and 39 papers in Soil Science. Recurrent topics in William D. Batchelor's work include Crop Yield and Soil Fertility (33 papers), Climate change impacts on agriculture (30 papers) and Remote Sensing in Agriculture (21 papers). William D. Batchelor is often cited by papers focused on Crop Yield and Soil Fertility (33 papers), Climate change impacts on agriculture (30 papers) and Remote Sensing in Agriculture (21 papers). William D. Batchelor collaborates with scholars based in United States, China and Germany. William D. Batchelor's co-authors include Kenneth J. Boote, J. T. Ritchie, J. W. Jones, Gerrit Hoogenboom, Cheryl Porter, Upendra Singh, Arjan J. Gijsman, Paul W. Wilkens, L. A. Hunt and Joel O. Paz and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

William D. Batchelor

152 papers receiving 7.7k citations

Hit Papers

align trajectories sort by overperformance

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.

The DSSAT cropping system model

2002 3.2k citations Gerrit Hoogenboom, Cheryl Porter et al. European Journal of Agronomy profile →
Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives

2020 554 citations Jian Zhang, William D. Batchelor et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
William D. Batchelor	4.6k	2.8k	2.0k	1.8k	1.5k	163	8.2k
Kurt Christian Kersebaum	2.7k 0.6×	2.3k 0.8×	1.5k 0.7×	1.3k 0.7×	1.5k 1.0×	113	5.5k
Bruno Basso	3.6k 0.8×	2.1k 0.8×	2.4k 1.2×	2.0k 1.1×	1.9k 1.3×	210	9.2k
Enli Wang	3.9k 0.8×	2.9k 1.0×	3.7k 1.8×	2.2k 1.2×	1.9k 1.3×	197	8.8k
Cheryl Porter	3.7k 0.8×	3.6k 1.3×	1.9k 0.9×	1.5k 0.8×	1.6k 1.1×	68	6.7k
Upendra Singh	5.1k 1.1×	2.8k 1.0×	2.8k 1.4×	2.0k 1.1×	1.2k 0.8×	146	8.5k
David Makowski	4.3k 0.9×	1.9k 0.7×	1.9k 0.9×	3.1k 1.7×	1.6k 1.1×	216	9.4k
Patricio Grassini	4.6k 1.0×	2.8k 1.0×	2.1k 1.0×	2.6k 1.4×	1.1k 0.8×	118	7.9k
Claudio O. Stöckle	2.6k 0.6×	1.9k 0.7×	1.9k 0.9×	944 0.5×	2.0k 1.4×	130	5.6k
J. W. Jones	3.1k 0.7×	2.5k 0.9×	1.6k 0.8×	1.2k 0.7×	1.5k 1.0×	79	5.4k
Thomas Gaiser	2.1k 0.5×	1.5k 0.5×	1.7k 0.8×	1.0k 0.6×	1.1k 0.7×	208	5.1k

Countries citing papers authored by William D. Batchelor

Since Specialization

Citations

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

Fields of papers citing papers by William D. Batchelor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Batchelor. 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 William D. Batchelor. The network helps show where William D. Batchelor may publish in the future.

Co-authorship network of co-authors of William D. Batchelor

This figure shows the co-authorship network connecting the top 25 collaborators of William D. Batchelor. A scholar is included among the top collaborators of William D. Batchelor 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 William D. Batchelor. William D. Batchelor 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

Dang, Pengfei, P. Ciais, Josep Peñuelas, et al.. (2025). Mitigating the detrimental effects of climate warming on major staple crop production through adaptive nitrogen management: A meta-analysis. Socio-Environmental Systems Modeling. 367. 110524–110524. 1 indexed citations

Wang, Chufeng, Jing Xie, Ni Ma, et al.. (2025). Integrating UAV and satellite LAI data into a modified DSSAT-rapeseed model to improve yield predictions. Field Crops Research. 327. 109883–109883. 1 indexed citations

Zhang, Di, et al.. (2025). Optimizing the water-energy-food nexus in dryland winter wheat systems on the loess plateau. Agricultural Water Management. 321. 109930–109930.

Ou, Junfei, Fangzheng Chen, Min Zhang, et al.. (2025). A continuous learning framework based on physics-guided deep learning for crop phenology simulation. Agricultural and Forest Meteorology. 368. 110562–110562.

Sanz‐Sáez, Álvaro, et al.. (2024). Drought-tolerant peanut (Arachis hypogaea L.) varieties can mitigate negative impacts of climate change on yield in the Southeastern U.S.. Computers and Electronics in Agriculture. 224. 109105–109105. 2 indexed citations

Miao, Yuxin, Xinbing Wang, Krzysztof Kuśnierek, et al.. (2024). In-season dynamic diagnosis of maize nitrogen status across the growing season by integrating proximal sensing and crop growth modeling. Computers and Electronics in Agriculture. 224. 109240–109240. 6 indexed citations

Luo, Jingyun, et al.. (2024). Integrating genomics with crop modelling to predict maize yield and component traits: Towards the next generation of crop models. European Journal of Agronomy. 162. 127391–127391. 1 indexed citations

Ju, Hui, et al.. (2024). Identification of thresholds and key drivers on water use efficiency in different maize ecoregions in Yellow River Basin of China. Journal of Cleaner Production. 482. 144209–144209. 2 indexed citations

Zhang, Di, Dongxiao Li, Hongguang Wang, et al.. (2023). Tillage practices offset wheat yield reductions under limited irrigation regime in the North China Plain. Soil and Tillage Research. 230. 105687–105687. 18 indexed citations

10.

Liang, Hao, Kelin Hu, Zhiming Qi, Junzeng Xu, & William D. Batchelor. (2023). A distributed agroecosystem model (RegWHCNS) for water and N management at the regional scale: A case study in the North China Plain. Computers and Electronics in Agriculture. 213. 108216–108216. 5 indexed citations

11.

Wang, Chunmeng, et al.. (2021). Sensitivity analysis of the CROPGRO-Canola model in China: A case study for rapeseed. PLoS ONE. 16(11). e0259929–e0259929. 8 indexed citations

12.

Batchelor, William D., et al.. (2019). Development and Evaluation of a Leaf Disease Damage Extension in Cropsim-CERES Wheat. Agronomy. 9(3). 120–120. 8 indexed citations

13.

Xu, Rongting, Hanqin Tian, Shufen Pan, et al.. (2018). Global ammonia emissions from synthetic nitrogen fertilizer applications in agricultural systems: Empirical and process‐based estimates and uncertainty. Global Change Biology. 25(1). 314–326. 183 indexed citations

14.

Reddy, M. S., et al.. (2014). Recent Advances in Biofertilizers and Biofungicides (PGPR)for Sustainable Agriculture. 25 indexed citations

15.

Link, Johanna, William D. Batchelor, Simone Graeff, & Wilhelm Claupein. (2007). Identification of problem grids within a wheat and corn field by the implementation of a process-oriented precision farming crop growth model.. 131–134. 1 indexed citations

16.

Thorp, Kelly R., William D. Batchelor, Joel O. Paz, Brian L. Steward, & D. J. Mulla. (2004). Estimating yield and environmental risks associated with variable rate nitrogen management for corn using Apollo.. 1570–1582. 1 indexed citations

17.

Drummond, Scott T., Kenneth A. Sudduth, Newell R. Kitchen, et al.. (2003). Neural network analysis of site-specific soil, landscape and yield data.. 933–947.

18.

Jones, James W., Gerrit Hoogenboom, Cheryl Porter, et al.. (2003). DSSAT cropping system model. European Journal of Agronomy. 191 indexed citations

19.

Paz, Joel O., et al.. (2000). Integrating remotely sensed images to improve spatial crop model calibration.. 1–17. 1 indexed citations

20.

Paz, Joel O. & William D. Batchelor. (2000). What causes soybean yield variability. 1–15. 2 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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