Lauren E. Hay

9.4k total citations · 4 hit papers
108 papers, 6.8k citations indexed

About

Lauren E. Hay is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Lauren E. Hay has authored 108 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Water Science and Technology, 61 papers in Global and Planetary Change and 45 papers in Atmospheric Science. Recurrent topics in Lauren E. Hay's work include Hydrology and Watershed Management Studies (89 papers), Climate variability and models (35 papers) and Cryospheric studies and observations (27 papers). Lauren E. Hay is often cited by papers focused on Hydrology and Watershed Management Studies (89 papers), Climate variability and models (35 papers) and Cryospheric studies and observations (27 papers). Lauren E. Hay collaborates with scholars based in United States, United Kingdom and New Zealand. Lauren E. Hay's co-authors include Martyn Clark, G. H. Leavesley, Robert L. Wilby, Gregory J. McCabe, Steven L. Markstrom, Roland J. Viger, Thorsten Wagener, Balaji Rajagopalan, A. G. Slater and Hoshin V. Gupta and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Water Resources Research.

In The Last Decade

Lauren E. Hay

102 papers receiving 6.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A COMPARISON OF DELTA CHANGE AND DOWNSCALED GCM SCENARIOS FOR THREE MOUNTAINOUS BASINS IN THE UNITED STATES¹

2000 553 citations Lauren E. Hay, G. H. Leavesley et al. JAWRA Journal of the American Water Resources Association profile →
Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops

2005 536 citations Qingyun Duan, Lauren E. Hay et al. profile →
Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance

2015 417 citations Andrew J. Newman, Martyn Clark et al. Hydrology and earth system sciences profile →
Defining Ecological Drought for the Twenty-First Century

2017 328 citations Lauren E. Hay et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lauren E. Hay United States	38	4.8k	4.5k	2.6k	1.4k	481	108	6.8k
Luis Samaniego Germany	48	4.5k 0.9×	4.4k 1.0×	1.4k 0.6×	2.0k 1.4×	460 1.0×	133	6.9k
Quanxi Shao Australia	50	4.5k 0.9×	4.0k 0.9×	1.7k 0.6×	1.3k 0.9×	553 1.1×	179	6.9k
Maoyi Huang United States	45	4.1k 0.8×	3.2k 0.7×	1.7k 0.7×	1.5k 1.1×	585 1.2×	140	6.3k
Thian Yew Gan Canada	48	5.1k 1.0×	3.1k 0.7×	2.4k 0.9×	1.4k 1.0×	770 1.6×	173	7.3k
Bart Nijssen United States	44	6.7k 1.4×	6.1k 1.4×	4.0k 1.6×	1.9k 1.4×	643 1.3×	144	9.9k
David Gochis United States	45	6.2k 1.3×	3.6k 0.8×	5.1k 2.0×	1.7k 1.2×	665 1.4×	146	8.9k
Zongxue Xu China	45	4.5k 0.9×	4.1k 0.9×	1.9k 0.7×	1.7k 1.2×	941 2.0×	243	7.2k
Guobin Fu Australia	38	3.9k 0.8×	3.2k 0.7×	1.6k 0.6×	1.0k 0.7×	545 1.1×	126	5.5k
G. H. Leavesley United States	30	2.9k 0.6×	2.9k 0.6×	1.7k 0.6×	955 0.7×	350 0.7×	69	4.5k
Ad de Roo Italy	35	4.0k 0.8×	3.6k 0.8×	2.1k 0.8×	1.3k 0.9×	670 1.4×	77	6.3k

Countries citing papers authored by Lauren E. Hay

Since Specialization

Citations

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

Fields of papers citing papers by Lauren E. Hay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren E. Hay

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

Hay, Lauren E., Jacob H. LaFontaine, William Farmer, et al.. (2023). Parameter estimation at the conterminous United States scale and streamflow routing enhancements for the National Hydrologic Model infrastructure application of the Precipitation-Runoff Modeling System (NHM-PRMS). Techniques and methods. 5 indexed citations

Driscoll, Jessica M., Lauren E. Hay, Melanie K. Vanderhoof, & Roland J. Viger. (2020). Spatiotemporal Variability of Modeled Watershed Scale Surface‐Depression Storage and Runoff for the Conterminous United States. JAWRA Journal of the American Water Resources Association. 56(1). 16–29. 2 indexed citations

Maloney, Kelly O., Claire Buchanan, Lauren E. Hay, et al.. (2020). Disentangling the potential effects of land‐use and climate change on stream conditions. Global Change Biology. 26(4). 2251–2269. 17 indexed citations

Perry, Laura G., Patrick B. Shafroth, Lauren E. Hay, Steven L. Markstrom, & Andrew R. Bock. (2019). Projected warming disrupts the synchrony of riparian seed release and snowmelt streamflow. New Phytologist. 225(2). 693–712. 9 indexed citations

LaFontaine, Jacob H., Lauren E. Hay, William Farmer, et al.. (2019). Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions. Scientific investigations report. 17 indexed citations

Regan, R. Steve, Steven L. Markstrom, Lauren E. Hay, et al.. (2018). Description of the National Hydrologic Model for use with the Precipitation-Runoff Modeling System (PRMS). Techniques and methods. 60 indexed citations

Hay, Lauren E., et al.. (2018). Modelling surface‐water depression storage in a Prairie Pothole Region. Hydrological Processes. 32(4). 462–479. 19 indexed citations

Viger, Roland J., et al.. (2018). Enhancement of a Parsimonious Water Balance Model to Simulate Surface Hydrology in a Glacierized Watershed. Journal of Geophysical Research Earth Surface. 123(5). 1116–1132. 7 indexed citations

Driscoll, Jessica M., Steven L. Markstrom, R. Steve Regan, Lauren E. Hay, & Roland J. Viger. (2017). National Hydrologic Model for PRMS Parameter Database: 2017 Snapshot Release. USGS DOI Tool Production Environment. 7 indexed citations

10.

Mizukami, Naoki, Martyn Clark, K. M. Sampson, et al.. (2016). mizuRoute version 1: a river network routing tool for a continental domain water resources applications. Geoscientific model development. 9(6). 2223–2238. 64 indexed citations

11.

Driscoll, Jessica M., et al.. (2016). SPATIOTEMPORAL VARIABILITY OF SNOW DEPLETION CURVES DERIVED FROM SNODAS FOR THE CONTERMINOUS UNITED STATES, 2004-2013. Abstracts with programs - Geological Society of America. 1 indexed citations

12.

Newman, Andrew J., Martyn Clark, K. M. Sampson, et al.. (2015). Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance. Hydrology and earth system sciences. 19(1). 209–223. 417 indexed citations breakdown →

13.

Markstrom, Steven L., R. Steve Regan, Lauren E. Hay, et al.. (2015). PRMS-IV, the precipitation-runoff modeling system, version 4. Techniques and methods. 213 indexed citations

14.

Barrett, A. P., G. H. Leavesley, & Lauren E. Hay. (2001). Integrating Satellite-Derived Snow Covered Area Information with a Hydrologic Forecast Model. AGUFM. 2001. 1 indexed citations

15.

Clark, Martyn, et al.. (2001). Development of Operational Hydrologic Forecasting Capabilities. AGU Fall Meeting Abstracts. 2001. 1 indexed citations

16.

Leavesley, G. H. & Lauren E. Hay. (1998). The use of coupled atmospheric and hydrological models for water-resources management in headwater basins. IAHS-AISH publication. 248. 259–265. 3 indexed citations

17.

Hay, Lauren E., Roland J. Viger, & Gregory J. McCabe. (1998). Precipitation interpolation in mountainous regions using multiple linear regression. IAHS-AISH publication. 248. 33–38. 29 indexed citations

18.

Hay, Lauren E.. (1996). Assessment of AN Orographic Precipitation Model in Southwestern Colorado. PhDT. 3 indexed citations

19.

Ayers, Mark A., David M. Wolock, Gregory J. McCabe, Lauren E. Hay, & Gary D. Tasker. (1993). Sensitivity of water resources in the Delaware River basin to climate variability and change. Antarctica A Keystone in a Changing World. 13 indexed citations

20.

Wolock, David M., et al.. (1989). Effect of climate change on watershed runoff. Hydraulic Engineering. 673–678. 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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