Christopher Hay

718 total citations
32 papers, 565 citations indexed

About

Christopher Hay is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Environmental Chemistry. According to data from OpenAlex, Christopher Hay has authored 32 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Water Science and Technology, 9 papers in Industrial and Manufacturing Engineering and 9 papers in Environmental Chemistry. Recurrent topics in Christopher Hay's work include Hydrology and Watershed Management Studies (10 papers), Plant Water Relations and Carbon Dynamics (9 papers) and Soil and Water Nutrient Dynamics (9 papers). Christopher Hay is often cited by papers focused on Hydrology and Watershed Management Studies (10 papers), Plant Water Relations and Carbon Dynamics (9 papers) and Soil and Water Nutrient Dynamics (9 papers). Christopher Hay collaborates with scholars based in United States, Australia and Denmark. Christopher Hay's co-authors include Jeppe Kjaersgaard, Guanghui Hua, Laurent Ahiablame, Todd P. Trooien, Matthew J. Helmers, Xinhua Jia, Gemechis D. Djira, Jane Frankenberger, Thomas G. Franti and Gary W. Feyereisen and has published in prestigious journals such as The Science of The Total Environment, Water Research and Remote Sensing.

In The Last Decade

Christopher Hay

31 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Hay United States	14	216	192	151	146	139	32	565
Zishi Fu China	10	244 1.1×	141 0.7×	41 0.3×	168 1.2×	88 0.6×	20	600
Juan Huang China	14	112 0.5×	57 0.3×	174 1.2×	107 0.7×	93 0.7×	31	636
C. Le China	2	148 0.7×	107 0.6×	43 0.3×	249 1.7×	64 0.5×	3	548
Fabio Vincenzi Italy	13	105 0.5×	106 0.6×	43 0.3×	238 1.6×	107 0.8×	28	499
Bruce J. Lesikar United States	10	90 0.4×	188 1.0×	83 0.5×	61 0.4×	54 0.4×	53	518
M. H. Johnson United States	15	138 0.6×	306 1.6×	65 0.4×	236 1.6×	178 1.3×	35	642
Hongxia Qiao China	6	218 1.0×	141 0.7×	27 0.2×	157 1.1×	70 0.5×	11	493
B. Mecham United States	5	125 0.6×	119 0.6×	234 1.5×	145 1.0×	24 0.2×	7	587
Lars Egil Haugen Norway	14	91 0.4×	112 0.6×	70 0.5×	114 0.8×	86 0.6×	21	599
Helge Lundekvam Norway	10	224 1.0×	72 0.4×	49 0.3×	239 1.6×	86 0.6×	12	560

Countries citing papers authored by Christopher Hay

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Hay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Hay

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

Christianson, Laura E., Reid Christianson, Christopher Hay, et al.. (2024). Denitrifying bioreactor surface subsidence varies with age and cover. Ecological Engineering. 211. 107461–107461.

Ahiablame, Laurent, et al.. (2022). Field evaluation of four denitrifying woodchip bioreactors for nitrogen removal in eastern South Dakota, United States. The Science of The Total Environment. 855. 158740–158740. 4 indexed citations

Christianson, Laura E., Richard A. Cooke, Christopher Hay, et al.. (2021). Effectiveness of Denitrifying Bioreactors on Water Pollutant Reduction from Agricultural Areas. Transactions of the ASABE. 64(2). 641–658. 50 indexed citations

Frankenberger, Jane, et al.. (2020). Development and Sensitivity Analysis of an Online Tool for Evaluating Drainage Water Recycling Decisions. Transactions of the ASABE. 63(6). 1991–2002. 3 indexed citations

Frankenberger, Jane, et al.. (2019). Simulated water quality and irrigation benefits from drainage water recycling at two tile-drained sites in the U.S. Midwest. Agricultural Water Management. 223. 105699–105699. 25 indexed citations

Kjaersgaard, Jeppe, et al.. (2018). Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index. Advances in Meteorology. 2018. 1–12. 53 indexed citations

Strock, Jeffrey S., Christopher Hay, Matthew J. Helmers, et al.. (2018). Advances in Drainage: Selected Works from the Tenth International Drainage Symposium. Transactions of the ASABE. 61(1). 161–168. 5 indexed citations

Khand, Kul, Jeppe Kjaersgaard, Christopher Hay, & Xinhua Jia. (2017). Estimating Impacts of Agricultural Subsurface Drainage on Evapotranspiration Using the Landsat Imagery-Based METRIC Model. Hydrology. 4(4). 49–49. 21 indexed citations

Hua, Guanghui, et al.. (2017). Evaluation of industrial by-products and natural minerals for phosphate adsorption from subsurface drainage. Environmental Technology. 40(6). 756–767. 25 indexed citations

10.

Hua, Guanghui, et al.. (2016). Nitrate and phosphate removal from agricultural subsurface drainage using laboratory woodchip bioreactors and recycled steel byproduct filters. Water Research. 102. 180–189. 124 indexed citations

11.

Trooien, Todd P., et al.. (2016). Development of Crop Coefficients Using Remote Sensing-Based Vegetation Index and Growing Degree Days. 6 indexed citations

12.

Hay, Christopher, et al.. (2015). Use of Remote Sensing to Generate Crop Coefficient and Estimate Actual Crop Evapotranspiration. 2015 ASABE International Meeting. 13 indexed citations

13.

Kjaersgaard, Jeppe, Kul Khand, Christopher Hay, & Xinhua Jia. (2014). Estimating Evapotranspiration from Fields with and without Tile Drainage Using Remote Sensing. 1745–1753. 2 indexed citations

14.

Kjaersgaard, Jeppe, et al.. (2014). A Review of the factors controlling the performance of denitrifying woodchip bioreactors. 1–12. 1 indexed citations

15.

Kjaersgaard, Jeppe, et al.. (2014). Demonstrating the nitrogen-removal effectiveness of denitrifying bioreactors for improved drainage water management in South Dakota. 2014 ASABE Annual International Meeting. 1–11. 3 indexed citations

16.

Clay, David E., et al.. (2013). iGrow Soybeans: Best Management Practices for Soybean Production. Open PRAIRIE (South Dakota State University). 6 indexed citations

17.

Kjaersgaard, Jeppe, et al.. (2012). Estimation of Evapotranspiration from Fields with and without Cover Crops Using Remote Sensing and in situ Methods. Remote Sensing. 4(12). 3796–3812. 27 indexed citations

18.

Hay, Christopher & Suat Irmak. (2009). Actual and Reference Evaporative Losses and Surface Coefficients of a Maize Field during Nongrowing (Dormant) Periods. Journal of Irrigation and Drainage Engineering. 135(3). 313–322. 14 indexed citations

19.

Hay, Christopher, Thomas G. Franti, David B. Marx, Edward J. Peters, & Larry W. Hesse. (2007). Macroinvertebrate drift density in relation to abiotic factors in the Missouri River. Hydrobiologia. 598(1). 175–189. 36 indexed citations

20.

Hay, Christopher. (2006). Fish and invertebrate abundance in relation to abiotic factors in the Missouri River. Insecta mundi. 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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