Erin Haacker

982 total citations
21 papers, 697 citations indexed

About

Erin Haacker is a scholar working on Water Science and Technology, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Erin Haacker has authored 21 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 11 papers in Ocean Engineering and 6 papers in Global and Planetary Change. Recurrent topics in Erin Haacker's work include Water resources management and optimization (11 papers), Hydrology and Watershed Management Studies (9 papers) and Irrigation Practices and Water Management (4 papers). Erin Haacker is often cited by papers focused on Water resources management and optimization (11 papers), Hydrology and Watershed Management Studies (9 papers) and Irrigation Practices and Water Management (4 papers). Erin Haacker collaborates with scholars based in United States, Uruguay and China. Erin Haacker's co-authors include D. W. Hyndman, A. D. Kendall, Chittaranjan Ray, Daniel D. Snow, Samuel J. Smidt, Joshua K. Abbott, Eli P. Fenichel, Jude Bayham, Lisa Pfeiffer and Haoyang Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Erin Haacker

21 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erin Haacker United States 14 308 190 173 146 111 21 697
John Gowing United Kingdom 17 251 0.8× 122 0.6× 184 1.1× 184 1.3× 214 1.9× 41 812
Danielle Grogan United States 14 281 0.9× 191 1.0× 275 1.6× 96 0.7× 89 0.8× 38 794
Alexander G. Fernald United States 18 515 1.7× 220 1.2× 360 2.1× 235 1.6× 134 1.2× 84 1.0k
J. Froebrich Netherlands 17 374 1.2× 147 0.8× 257 1.5× 97 0.7× 202 1.8× 45 826
Alberto García-Prats Spain 16 260 0.8× 117 0.6× 290 1.7× 102 0.7× 206 1.9× 39 643
Andrew Allan United Kingdom 13 221 0.7× 130 0.7× 268 1.5× 58 0.4× 39 0.4× 26 671
Christopher A. Wada United States 14 322 1.0× 150 0.8× 195 1.1× 129 0.9× 19 0.2× 38 741
Aihua Long China 17 423 1.4× 123 0.6× 490 2.8× 243 1.7× 92 0.8× 85 920
Carlos G. Ochoa United States 18 280 0.9× 102 0.5× 360 2.1× 157 1.1× 121 1.1× 55 776
Sami Bouarfa France 19 177 0.6× 119 0.6× 164 0.9× 211 1.4× 254 2.3× 77 874

Countries citing papers authored by Erin Haacker

Since Specialization
Citations

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

Fields of papers citing papers by Erin Haacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erin Haacker

This figure shows the co-authorship network connecting the top 25 collaborators of Erin Haacker. A scholar is included among the top collaborators of Erin Haacker 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 Erin Haacker. Erin Haacker 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
1.
Kawo, Nafyad Serre, et al.. (2024). Three‐Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning. Water Resources Research. 60(7). 3 indexed citations
2.
Schipanski, Meagan E., Matthew R. Sanderson, Amy Kremen, et al.. (2023). Moving from measurement to governance of shared groundwater resources. Nature Water. 1(1). 30–36. 22 indexed citations
4.
Frank, Tracy D., et al.. (2022). ORIGIN, DISTRIBUTION, AND SIGNIFICANCE OF BRINE IN THE SUBSURFACE OF ANTARCTICA. Abstracts with programs - Geological Society of America. 1 indexed citations
5.
Frank, Tracy D., et al.. (2022). Origin, distribution, and significance of brine in the subsurface of Antarctica. Earth-Science Reviews. 234. 104204–104204. 7 indexed citations
6.
Haacker, Erin. (2022). Running Out: In Search of Water on the High Plains. Ground Water. 60(2). 167–168. 14 indexed citations
7.
Bailey, Ryan T., et al.. (2022). Employing machine learning to quantify long-term climatological and regulatory impacts on groundwater availability in intensively irrigated regions. Journal of Hydrology. 614. 128511–128511. 10 indexed citations
8.
McDermitt, D. K., et al.. (2021). USING FIELD SCALE ELECTRICAL DATA TO UNDERSTAND REAL-TIME AGRICULTURAL WATER DELIVERY. Abstracts with programs - Geological Society of America. 1 indexed citations
9.
Haacker, Erin, et al.. (2021). Influence of Irrigation Drivers Using Boosted Regression Trees: Kansas High Plains. Water Resources Research. 57(5). 19 indexed citations
10.
Mohanasundaram, S., et al.. (2021). An application of GRACE mission datasets for streamflow and baseflow estimation in the Conterminous United States basins. Journal of Hydrology. 601. 126622–126622. 15 indexed citations
11.
Mahmood, Rezaul, et al.. (2020). A Hydrometeorological Assessment of the Historic 2019 Flood of Nebraska, Iowa, and South Dakota. Bulletin of the American Meteorological Society. 101(6). E817–E829. 44 indexed citations
12.
Reyes, Julian, Emile Elias, Erin Haacker, et al.. (2020). Assessing agricultural risk management using historic crop insurance loss data over the ogallala aquifer. Agricultural Water Management. 232. 106000–106000. 14 indexed citations
13.
Haacker, Erin, et al.. (2020). Risk and Cost Assessment of Nitrate Contamination in Domestic Wells. Water. 12(2). 428–428. 28 indexed citations
14.
Haacker, Erin, Vaishali Sharda, A. Araya, et al.. (2020). MOD$$AT: A hydro-economic modeling framework for aquifer management in irrigated agricultural regions. Agricultural Water Management. 238. 106194–106194. 21 indexed citations
15.
Anex, Robert P., et al.. (2020). Trends in Water Use, Energy Consumption, and Carbon Emissions from Irrigation: Role of Shifting Technologies and Energy Sources. Environmental Science & Technology. 54(23). 15329–15337. 41 indexed citations
16.
Haacker, Erin, et al.. (2019). Effects of management areas, drought, and commodity prices on groundwater decline patterns across the High Plains Aquifer. Agricultural Water Management. 218. 259–273. 13 indexed citations
17.
Snow, Daniel D., et al.. (2018). The long term effect of agricultural, vadose zone and climatic factors on nitrate contamination in Nebraska's groundwater system. Journal of Contaminant Hydrology. 220. 33–48. 70 indexed citations
18.
Smidt, Samuel J., Erin Haacker, A. D. Kendall, et al.. (2016). Complex water management in modern agriculture: Trends in the water-energy-food nexus over the High Plains Aquifer. The Science of The Total Environment. 566-567. 988–1001. 109 indexed citations
19.
Fenichel, Eli P., et al.. (2016). Measuring the value of groundwater and other forms of natural capital. Proceedings of the National Academy of Sciences. 113(9). 2382–2387. 93 indexed citations
20.
Haacker, Erin, A. D. Kendall, & D. W. Hyndman. (2015). Water Level Declines in the High Plains Aquifer: Predevelopment to Resource Senescence. Ground Water. 54(2). 231–242. 150 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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