Eric D. Morway

712 total citations
24 papers, 524 citations indexed

About

Eric D. Morway is a scholar working on Environmental Engineering, Water Science and Technology and Geochemistry and Petrology. According to data from OpenAlex, Eric D. Morway has authored 24 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Engineering, 12 papers in Water Science and Technology and 8 papers in Geochemistry and Petrology. Recurrent topics in Eric D. Morway's work include Groundwater flow and contamination studies (15 papers), Hydrology and Watershed Management Studies (11 papers) and Groundwater and Isotope Geochemistry (8 papers). Eric D. Morway is often cited by papers focused on Groundwater flow and contamination studies (15 papers), Hydrology and Watershed Management Studies (11 papers) and Groundwater and Isotope Geochemistry (8 papers). Eric D. Morway collaborates with scholars based in United States, Netherlands and Saudi Arabia. Eric D. Morway's co-authors include Richard G. Niswonger, Timothy K. Gates, Christian D. Langevin, Ryan T. Bailey, Matthew Tonkin, Justin Huntington, Richard W. Healy, Joseph D. Hughes, Richard R. McDonald and Luis A. García and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Environmental Pollution.

In The Last Decade

Eric D. Morway

21 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric D. Morway United States 12 320 284 147 101 93 24 524
Daniel T. Feinstein United States 13 440 1.4× 293 1.0× 199 1.4× 85 0.8× 76 0.8× 36 580
J. Jeffrey Starn United States 13 483 1.5× 309 1.1× 282 1.9× 85 0.8× 106 1.1× 26 631
Alper Elçi Türkiye 15 270 0.8× 123 0.4× 148 1.0× 74 0.7× 111 1.2× 32 518
Hyoun‐Tae Hwang Canada 16 370 1.2× 400 1.4× 126 0.9× 129 1.3× 66 0.7× 41 684
M. Bayer-Raich Germany 11 506 1.6× 300 1.1× 254 1.7× 120 1.2× 57 0.6× 21 638
Ashok K. Keshari India 17 348 1.1× 349 1.2× 203 1.4× 64 0.6× 95 1.0× 53 696
Muhammad Basharat Pakistan 12 319 1.0× 311 1.1× 279 1.9× 34 0.3× 140 1.5× 19 723
Hui Jia China 8 161 0.5× 180 0.6× 229 1.6× 98 1.0× 40 0.4× 24 515
Jeong‐Yong Cheon South Korea 10 287 0.9× 119 0.4× 151 1.0× 51 0.5× 50 0.5× 18 447
A. G. Bobba United States 13 286 0.9× 270 1.0× 189 1.3× 49 0.5× 65 0.7× 41 571

Countries citing papers authored by Eric D. Morway

Since Specialization
Citations

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

Fields of papers citing papers by Eric D. Morway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric D. Morway

This figure shows the co-authorship network connecting the top 25 collaborators of Eric D. Morway. A scholar is included among the top collaborators of Eric D. Morway 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 Eric D. Morway. Eric D. Morway 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.
Morway, Eric D., et al.. (2025). A New Groundwater Energy Transport Model for the MODFLOW Hydrologic Simulator. Ground Water. 63(3). 409–421.
2.
Gates, Timothy K., et al.. (2025). Assessing nonpoint-source uranium pollution in an irrigated stream-aquifer system. The Science of The Total Environment. 989. 179861–179861.
3.
4.
Morway, Eric D., Susan G. Buto, Richard G. Niswonger, & Justin Huntington. (2023). Assessing potential effects of changes in water use in the middle Carson River Basin with a numerical groundwater-flow model, Eagle, Dayton, and Churchill Valleys, west-central Nevada. Scientific investigations report. 2 indexed citations
5.
Feinstein, Daniel T., Randall J. Hunt, & Eric D. Morway. (2022). Simulation of Heat Flow in a Synthetic Watershed: Lags and Dampening across Multiple Pathways under a Climate-Forcing Scenario. Water. 14(18). 2810–2810. 5 indexed citations
6.
Morway, Eric D., Daniel T. Feinstein, & Randall J. Hunt. (2022). Simulation of Heat Flow in a Synthetic Watershed: The Role of the Unsaturated Zone. Water. 14(23). 3883–3883. 3 indexed citations
7.
Morway, Eric D., Daniel T. Feinstein, Randall J. Hunt, & Richard W. Healy. (2022). New Capabilities in MT3D‐USGS for Simulating Unsaturated‐Zone Heat Transport. Ground Water. 61(3). 330–345. 3 indexed citations
8.
Morway, Eric D., Christian D. Langevin, & Joseph D. Hughes. (2021). Use of the MODFLOW 6 Water Mover Package to Represent Natural and Managed Hydrologic Connections. Ground Water. 59(6). 913–924. 8 indexed citations
9.
10.
Domagalski, Joseph L., et al.. (2020). Trends in nitrogen, phosphorus, and sediment concentrations and loads in streams draining to Lake Tahoe, California, Nevada, USA. The Science of The Total Environment. 752. 141815–141815. 19 indexed citations
11.
Bailey, Ryan T., et al.. (2018). Simulating selenium and nitrogen fate and transport in coupled stream-aquifer systems of irrigated regions. Journal of Hydrology. 560. 512–529. 30 indexed citations
12.
Morway, Eric D., Carl E. Thodal, & Mark Marvin-DiPasquale. (2017). Long-term trends of surface-water mercury and methylmercury concentrations downstream of historic mining within the Carson River watershed. Environmental Pollution. 229. 1006–1018. 9 indexed citations
13.
Morway, Eric D., et al.. (2016). Toward improved simulation of river operations through integration with a hydrologic model. Environmental Modelling & Software. 82. 255–274. 34 indexed citations
14.
15.
Post, Vincent, et al.. (2015). PHT3D‐UZF : A Reactive Transport Model for Variably‐Saturated Porous Media. Ground Water. 54(1). 23–34. 10 indexed citations
16.
Morway, Eric D.. (2014). Recent Enhancements to MT3DMS for Simulation of Solute Exchange in Hydraulically Connected Stream-Aquifer Systems.
17.
Morway, Eric D., Timothy K. Gates, & Richard G. Niswonger. (2013). Appraising options to reduce shallow groundwater tables and enhance flow conditions over regional scales in an irrigated alluvial aquifer system. Journal of Hydrology. 495. 216–237. 49 indexed citations
18.
Morway, Eric D., Richard G. Niswonger, Christian D. Langevin, Ryan T. Bailey, & Richard W. Healy. (2012). Modeling Variably Saturated Subsurface Solute Transport with MODFLOW‐UZF and MT3DMS. Ground Water. 51(2). 237–251. 44 indexed citations
19.
Bailey, Ryan T., Eric D. Morway, Richard G. Niswonger, & Timothy K. Gates. (2012). Modeling Variably Saturated Multispecies Reactive Groundwater Solute Transport with MODFLOW‐UZF and RT3D. Ground Water. 51(5). 752–761. 49 indexed citations
20.
Gates, Timothy K., et al.. (2012). Irrigation practices, water consumption, & return flows in Colorado's Lower Arkansas River Valley: field and model investigations. 13 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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