Steven Pacenka

938 total citations · 1 hit paper
18 papers, 654 citations indexed

About

Steven Pacenka is a scholar working on Plant Science, Soil Science and Water Science and Technology. According to data from OpenAlex, Steven Pacenka has authored 18 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Soil Science and 5 papers in Water Science and Technology. Recurrent topics in Steven Pacenka's work include Irrigation Practices and Water Management (6 papers), Climate change impacts on agriculture (4 papers) and Rice Cultivation and Yield Improvement (4 papers). Steven Pacenka is often cited by papers focused on Irrigation Practices and Water Management (6 papers), Climate change impacts on agriculture (4 papers) and Rice Cultivation and Yield Improvement (4 papers). Steven Pacenka collaborates with scholars based in United States, China and Australia. Steven Pacenka's co-authors include Tammo S. Steenhuis, Xiaolin Yang, Yuanquan Chen, Peng Sui, Kadambot H. M. Siddique, Wangsheng Gao, Guangya Wang, Taisheng Du, Sien Li and Klaus Butterbach‐Bahl and has published in prestigious journals such as Nature Communications, PLoS ONE and Environmental Pollution.

In The Last Decade

Steven Pacenka

17 papers receiving 638 citations

Hit Papers

Diversifying crop rotation increases food production, red... 2024 2026 2025 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Pacenka United States 11 276 247 129 117 116 18 654
Kirsten Verburg Australia 16 324 1.2× 359 1.5× 213 1.7× 207 1.8× 148 1.3× 37 957
Guoju Xiao China 18 216 0.8× 371 1.5× 88 0.7× 228 1.9× 193 1.7× 36 822
Jianqiang Zhu China 15 210 0.8× 330 1.3× 64 0.5× 135 1.2× 113 1.0× 68 777
Luca Doro United States 16 321 1.2× 153 0.6× 101 0.8× 130 1.1× 151 1.3× 32 664
T. Goddard Canada 13 377 1.4× 193 0.8× 154 1.2× 116 1.0× 118 1.0× 19 771
Gebreyesus Brhane Tesfahunegn Ethiopia 18 492 1.8× 168 0.7× 77 0.6× 157 1.3× 131 1.1× 31 933
Ketema Zeleke Australia 13 204 0.7× 257 1.0× 96 0.7× 165 1.4× 173 1.5× 37 557
Rachid Bouabid Morocco 14 168 0.6× 234 0.9× 41 0.3× 60 0.5× 133 1.1× 42 670
Michael Baumecker Germany 12 385 1.4× 196 0.8× 96 0.7× 72 0.6× 68 0.6× 27 606
Yinhong Kang China 5 186 0.7× 377 1.5× 88 0.7× 326 2.8× 258 2.2× 13 876

Countries citing papers authored by Steven Pacenka

Since Specialization
Citations

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

Fields of papers citing papers by Steven Pacenka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Pacenka

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

All Works

18 of 18 papers shown
1.
Zhang, Yang, Tiegui Nan, Xiaolin Yang, et al.. (2025). Climate change impacts on spatiotemporal variability of soybean water demands in North China Plain. Agricultural Water Management. 310. 109381–109381.
2.
Yang, Xiaolin, Taisheng Du, Xiaotang Ju, et al.. (2024). Diversifying crop rotation increases food production, reduces net greenhouse gas emissions and improves soil health. Nature Communications. 15(1). 198–198. 196 indexed citations breakdown →
3.
Peng, Huanhuan, et al.. (2023). Water Requirements and Comprehensive Benefit Evaluation of Diversified Crop Rotations in the Huang-Huai Plain. Sustainability. 15(13). 10229–10229. 3 indexed citations
4.
Yang, Xiaolin, et al.. (2022). Water Footprint Assessment of Green and Traditional Cultivation of Crops in the Huang-Huai-Hai Farming Region. Agronomy. 12(10). 2494–2494. 3 indexed citations
5.
Yang, Xiaolin, Tammo S. Steenhuis, Kyle Frankel Davis, et al.. (2021). Diversified crop rotations enhance groundwater and economic sustainability of food production. Food and Energy Security. 10(4). 39 indexed citations
6.
Yang, Xiaolin, Guangya Wang, Yuanquan Chen, et al.. (2021). Reduced groundwater use and increased grain production by optimized irrigation scheduling in winter wheat–summer maize double cropping system—A 16-year field study in North China Plain. Field Crops Research. 275. 108364–108364. 64 indexed citations
7.
Pacenka, Steven, Brian K. Richards, Cathelijne R. Stoof, et al.. (2021). Self organizing hydrological processes in a runoff source area. CATENA. 211. 105955–105955. 2 indexed citations
8.
Yang, Xiaolin, et al.. (2020). Impact of climate variation from 1965 to 2016 on cotton water requirements in North China Plain. Agricultural Water Management. 243. 106502–106502. 30 indexed citations
9.
Yang, Xiaolin, Yuanquan Chen, Steven Pacenka, Tammo S. Steenhuis, & Peng Sui. (2019). Managing food and bioenergy crops with declining groundwater levels in the North China Plain. Field Crops Research. 234. 1–14. 29 indexed citations
10.
Zhao, Jiang, Steven Pacenka, Brian K. Richards, et al.. (2018). Detection of glyphosate residues in companion animal feeds. Environmental Pollution. 243(Pt B). 1113–1118. 50 indexed citations
11.
Richards, Brian K., Steven Pacenka, Michael T. Meyer, et al.. (2018). Antecedent and Post-Application Rain Events Trigger Glyphosate Transport from Runoff-Prone Soils. Environmental Science & Technology Letters. 5(5). 249–254. 14 indexed citations
12.
Yang, Xiaolin, Yuanquan Chen, Tammo S. Steenhuis, et al.. (2017). Mitigating Groundwater Depletion in North China Plain with Cropping System that Alternate Deep and Shallow Rooted Crops. Frontiers in Plant Science. 8. 980–980. 29 indexed citations
13.
Yang, Xiaolin, Yuanquan Chen, Steven Pacenka, et al.. (2015). Recharge and Groundwater Use in the North China Plain for Six Irrigated Crops for an Eleven Year Period. PLoS ONE. 10(1). e0115269–e0115269. 74 indexed citations
14.
Yang, Xiaolin, Yuanquan Chen, Steven Pacenka, et al.. (2015). Effect of diversified crop rotations on groundwater levels and crop water productivity in the North China Plain. Journal of Hydrology. 522. 428–438. 100 indexed citations
15.
Richards, Brian K., et al.. (2011). Surveying Upstate NY Well Water for Pesticide Contamination: Cayuga and Orange Counties. Groundwater Monitoring & Remediation. 32(1). 73–82. 5 indexed citations
16.
Pacenka, Steven, et al.. (1987). Changing aldicarb residue levels in soil and groundwater, eastern Long Island, New York. Journal of Contaminant Hydrology. 2(1). 73–91. 14 indexed citations
17.
Steenhuis, Tammo S., Steven Pacenka, & Keith S. Porter. (1985). Understanding Land and Water Resource Systems Aided by Graphics on Microcomputers. 188–195. 1 indexed citations
18.
Pacenka, Steven, et al.. (1978). Difficulties in Determining Allowable Maximum Daily Pollutant Loads to Waterways Under PL 92-500. Journal of Environmental Systems. 8(2). 167–178. 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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