Erin Towler

690 total citations
36 papers, 511 citations indexed

About

Erin Towler is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Erin Towler has authored 36 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 24 papers in Water Science and Technology and 9 papers in Environmental Engineering. Recurrent topics in Erin Towler's work include Hydrology and Watershed Management Studies (21 papers), Climate variability and models (17 papers) and Hydrology and Drought Analysis (13 papers). Erin Towler is often cited by papers focused on Hydrology and Watershed Management Studies (21 papers), Climate variability and models (17 papers) and Hydrology and Drought Analysis (13 papers). Erin Towler collaborates with scholars based in United States, Norway and Romania. Erin Towler's co-authors include Greg J. Holland, Balaji Rajagopalan, Cindy L. Bruyère, R. Scott Summers, David Yates, Eric Gilleland, Richard W. Katz, J. Done, Indrani Pal and C. M. Kishtawal and has published in prestigious journals such as Environmental Science & Technology, Journal of Climate and Water Resources Research.

In The Last Decade

Erin Towler

34 papers receiving 498 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 Towler United States 12 383 220 199 95 82 36 511
Dharmaveer Singh India 14 328 0.9× 194 0.9× 255 1.3× 178 1.9× 55 0.7× 43 543
Eiichi NAKAKITA Japan 15 559 1.5× 530 2.4× 227 1.1× 161 1.7× 48 0.6× 135 799
Qingfang Hu China 12 369 1.0× 288 1.3× 264 1.3× 128 1.3× 32 0.4× 34 594
Dörte Jakob Australia 9 518 1.4× 228 1.0× 260 1.3× 58 0.6× 34 0.4× 16 609
Aijing Zhang China 9 317 0.8× 140 0.6× 391 2.0× 144 1.5× 28 0.3× 9 540
Yuna Mao China 12 322 0.8× 123 0.6× 244 1.2× 92 1.0× 61 0.7× 31 478
Peyman Saemian Germany 11 259 0.7× 118 0.5× 116 0.6× 53 0.6× 97 1.2× 16 409
Kathleen D. Holman United States 10 491 1.3× 247 1.1× 316 1.6× 68 0.7× 61 0.7× 19 631
Shanti Shwarup Mahto India 10 651 1.7× 265 1.2× 183 0.9× 73 0.8× 53 0.6× 21 775
George Varlas Greece 15 396 1.0× 340 1.5× 183 0.9× 56 0.6× 172 2.1× 38 631

Countries citing papers authored by Erin Towler

Since Specialization
Citations

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

Fields of papers citing papers by Erin Towler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erin Towler

This figure shows the co-authorship network connecting the top 25 collaborators of Erin Towler. A scholar is included among the top collaborators of Erin Towler 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 Towler. Erin Towler 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.
Towler, Erin, Nachiketa Acharya, Mimi Hughes, et al.. (2025). Implementing and Evaluating National Water Model Ensemble Streamflow Predictions Using Postprocessed Precipitation Forecasts. Journal of Hydrometeorology. 26(4). 385–399.
2.
Foks, Sydney S., et al.. (2024). Evaluating Hydrologic Model Performance for Characterizing Streamflow Drought in the Conterminous United States. Water. 16(20). 2996–2996. 2 indexed citations
3.
Walker, Curtis, et al.. (2024). Towards development of a roadway flood severity index. Transportation Research Interdisciplinary Perspectives. 27. 101218–101218. 2 indexed citations
4.
Towler, Erin, Sydney S. Foks, A. L. Dugger, et al.. (2023). Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States. Hydrology and earth system sciences. 27(9). 1809–1825. 22 indexed citations
5.
Prein, Andreas F., et al.. (2022). Sub‐Seasonal Predictability of North American Monsoon Precipitation. Geophysical Research Letters. 49(9). 12 indexed citations
6.
7.
Towler, Erin, et al.. (2022). Incorporating Mid-Term Temperature Predictions into Streamflow Forecasts and Operational Reservoir Projections in the Colorado River Basin. Journal of Water Resources Planning and Management. 148(4). 8 indexed citations
8.
Rajagopalan, Balaji, Rebecca Smith, James Prairie, et al.. (2021). Stochastic Decadal Projections of Colorado River Streamflow and Reservoir Pool Elevations Conditioned on Temperature Projections. Water Resources Research. 57(12). 11 indexed citations
9.
Done, J., Rebecca E. Morss, Heather Lazrus, et al.. (2021). Toward usable predictive climate information at decadal timescales. One Earth. 4(9). 1297–1309. 4 indexed citations
10.
Towler, Erin & J. L. McCreight. (2021). A wavelet-based approach to streamflow event identification and modeled timing error evaluation. Hydrology and earth system sciences. 25(5). 2599–2615. 10 indexed citations
11.
Towler, Erin, et al.. (2019). Characterizing the potential for drought action from combined hydrological and societal perspectives. Hydrology and earth system sciences. 23(3). 1469–1482. 2 indexed citations
12.
Clemins, Patrick J., Gabriela Bucini, Jonathan M. Winter, et al.. (2019). An Analog Approach for Weather Estimation Using Climate Projections and Reanalysis Data. Journal of Applied Meteorology and Climatology. 58(8). 1763–1777. 6 indexed citations
13.
Cosgrove, B., A. L. Dugger, K. M. Sampson, et al.. (2018). Multi-variate evaluation of the NOAA National Water Model. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
14.
Towler, Erin, et al.. (2018). Toward the Application of Decadal Climate Predictions. Journal of Applied Meteorology and Climatology. 57(3). 555–568. 11 indexed citations
15.
Towler, Erin, et al.. (2018). Characterizing and understanding the variability of streamflow drought indicators within the USA. Hydrological Sciences Journal. 63(12). 1791–1803. 6 indexed citations
16.
17.
Towler, Erin, et al.. (2017). Streamflow Drought Indicators for the Conterminous United States. UCAR/NCAR. 2 indexed citations
18.
Towler, Erin, Balaji Rajagopalan, David Yates, Alfredo Rodríguez, & R. Scott Summers. (2013). Integrated Approach to Simulate Stream Water Quality for Municipal Supply under a Changing Climate. Journal of Environmental Engineering. 139(12). 1432–1440. 4 indexed citations
19.
Towler, Erin, et al.. (2012). A Risk-Based Approach to Evaluating Wildlife Demographics for Management in a Changing Climate: A Case Study of the Lewis’s Woodpecker. Environmental Management. 50(6). 1152–1163. 2 indexed citations
20.
Towler, Erin, Balaji Rajagopalan, & R. Scott Summers. (2009). Using Parametric and Nonparametric Methods to Model Total Organic Carbon, Alkalinity, and pH after Conventional Surface Water Treatment. Environmental Engineering Science. 26(8). 1299–1308. 12 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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