Derek M. Heeren

2.2k total citations
100 papers, 1.6k citations indexed

About

Derek M. Heeren is a scholar working on Soil Science, Environmental Engineering and Ecology. According to data from OpenAlex, Derek M. Heeren has authored 100 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Soil Science, 35 papers in Environmental Engineering and 29 papers in Ecology. Recurrent topics in Derek M. Heeren's work include Irrigation Practices and Water Management (33 papers), Plant Water Relations and Carbon Dynamics (24 papers) and Groundwater flow and contamination studies (20 papers). Derek M. Heeren is often cited by papers focused on Irrigation Practices and Water Management (33 papers), Plant Water Relations and Carbon Dynamics (24 papers) and Groundwater flow and contamination studies (20 papers). Derek M. Heeren collaborates with scholars based in United States, Uganda and Australia. Derek M. Heeren's co-authors include Garey A. Fox, Daran R. Rudnick, Christopher M. U. Neale, Trenton E. Franz, Aaron R. Mittelstet, Joe D. Luck, Daniel E. Storm, Chad J. Penn, Todd Halihan and Ronald B. Miller and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Water Resources Research.

In The Last Decade

Derek M. Heeren

91 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Derek M. Heeren United States 24 679 477 454 391 389 100 1.6k
Jacques Gallichand Canada 23 849 1.3× 304 0.6× 298 0.7× 543 1.4× 513 1.3× 94 1.9k
Karl Vanderlinden Spain 21 684 1.0× 274 0.6× 195 0.4× 604 1.5× 372 1.0× 60 1.6k
Zhilin Huang China 12 967 1.4× 474 1.0× 169 0.4× 243 0.6× 537 1.4× 35 1.6k
Jagadeesh Yeluripati United Kingdom 23 749 1.1× 421 0.9× 254 0.6× 252 0.6× 640 1.6× 47 1.7k
Ranvir Singh New Zealand 19 402 0.6× 595 1.2× 379 0.8× 574 1.5× 442 1.1× 72 1.7k
Zhongyi Qu China 23 778 1.1× 183 0.4× 358 0.8× 447 1.1× 439 1.1× 54 1.8k
Jiesheng Huang China 26 573 0.8× 265 0.6× 465 1.0× 509 1.3× 292 0.8× 107 1.9k
H. W. Rees Canada 28 948 1.4× 347 0.7× 210 0.5× 391 1.0× 189 0.5× 53 1.6k
Amy L. Kaleita United States 19 303 0.4× 305 0.6× 304 0.7× 352 0.9× 227 0.6× 84 1.2k
Daniel Fonseca de Carvalho Brazil 23 1.2k 1.8× 476 1.0× 442 1.0× 250 0.6× 292 0.8× 133 1.8k

Countries citing papers authored by Derek M. Heeren

Since Specialization
Citations

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

Fields of papers citing papers by Derek M. Heeren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derek M. Heeren. 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 Derek M. Heeren. The network helps show where Derek M. Heeren may publish in the future.

Co-authorship network of co-authors of Derek M. Heeren

This figure shows the co-authorship network connecting the top 25 collaborators of Derek M. Heeren. A scholar is included among the top collaborators of Derek M. Heeren 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 Derek M. Heeren. Derek M. Heeren 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
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DeJonge, Kendall C., Hongzhi Guo, Yufeng Ge, et al.. (2025). Crop2Cloud platform: Real-time data integration for agricultural water monitoring. Smart Agricultural Technology. 12. 101166–101166.
4.
Heeren, Derek M., Yeyin Shi, Ivo Zution Gonçalves, et al.. (2025). Scalable machine learning framework for adaptive irrigation management of maize and soybean in the U.S. Midwest. Computers and Electronics in Agriculture. 237. 110710–110710.
5.
Guo, Hongzhi, Derek M. Heeren, Xin Qiao, et al.. (2024). Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review. Sensors. 24(23). 7480–7480. 20 indexed citations
6.
Rudnick, Daran R., et al.. (2024). Estimation of corn nitrogen demand under different irrigation conditions based on UAV multispectral technology. Agricultural Water Management. 304. 109075–109075. 2 indexed citations
7.
Heeren, Derek M., et al.. (2023). Toward automated irrigation management with integrated crop water stress index and spatial soil water balance. Precision Agriculture. 24(6). 2223–2247. 10 indexed citations
8.
Li, Jiating, Yufeng Ge, Laila A. Puntel, et al.. (2023). Combining machine learning with a mechanistic model to estimate maize nitrogen content from UAV-acquired hyperspectral imagery. 9–9. 1 indexed citations
9.
Baigorria, Guillermo A., et al.. (2023). Soybean response under climatic scenarios with changed mean and variability under rainfed and irrigated conditions in major soybean-growing states of the USA. The Journal of Agricultural Science. 161(2). 157–174. 6 indexed citations
10.
Rudnick, Daran R., Kendall C. DeJonge, Tsz Him Lo, et al.. (2022). Real-Time Irrigation Scheduling of Maize Using Degrees Above Non-Stressed (Dans) Index in Semi-Arid Environment. SSRN Electronic Journal. 1 indexed citations
11.
Lo, Tsz Him, Daran R. Rudnick, Kendall C. DeJonge, et al.. (2020). Differences in soil water changes and canopy temperature under varying water × nitrogen sufficiency for maize. Irrigation Science. 38(5-6). 519–534. 14 indexed citations
12.
Woldt, Wayne, et al.. (2019). Calibration of a common shortwave multispectral camera system for quantitative agricultural applications. Precision Agriculture. 21(4). 922–935. 10 indexed citations
13.
Heeren, Derek M., et al.. (2019). Variable Rate Irrigation of Maize and Soybean in West-Central Nebraska Under Full and Deficit Irrigation. Frontiers in Big Data. 2. 34–34. 15 indexed citations
14.
Heeren, Derek M., Katja Koehler‐Cole, Charles A. Shapiro, et al.. (2018). Cover Crops have Negligible Impact on Soil Water in Nebraska Maize–Soybean Rotation. Agronomy Journal. 110(5). 1718–1730. 24 indexed citations
15.
Woldt, Wayne, Christopher M. U. Neale, Derek M. Heeren, Eric W. Frew, & George E. Meyer. (2018). Improving agricultural water efficiency with unmanned aircraft. 3 indexed citations
16.
Lo, Tsz Him, Derek M. Heeren, Luciano Mateos, et al.. (2017). Field Characterization of Field Capacity and Root Zone Available Water Capacity for Variable Rate Irrigation. Applied Engineering in Agriculture. 33(4). 559–572. 32 indexed citations
17.
Lo, Tsz Him, Derek M. Heeren, Luciano Mateos, et al.. (2015). Potential Irrigation Reductions From Increasing Precipitation Utilization With Variable Rate Irrigation. Insecta mundi. 1–11. 1 indexed citations
18.
Heeren, Derek M., et al.. (2011). Development of Deficit Irrigation Strategies for Corn Using a Yield Ratio Model. Applied Engineering in Agriculture. 27(4). 605–614. 5 indexed citations
19.
Miller, Ron, Derek M. Heeren, Garey A. Fox, et al.. (2010). Use of Multi-Electrode Resistivity Profiling to Estimate Hydraulic Properties of Preferential Flow Paths in Alluvial Floodplains. 959–969. 2 indexed citations
20.
Heeren, Derek M., et al.. (2007). Evaluation of Irrigation Strategies with the DSSAT Cropping System Model. 1 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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