Scott Steinschneider

3.4k total citations
120 papers, 2.3k citations indexed

About

Scott Steinschneider is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Scott Steinschneider has authored 120 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Global and Planetary Change, 65 papers in Water Science and Technology and 33 papers in Atmospheric Science. Recurrent topics in Scott Steinschneider's work include Hydrology and Watershed Management Studies (56 papers), Climate variability and models (42 papers) and Hydrology and Drought Analysis (41 papers). Scott Steinschneider is often cited by papers focused on Hydrology and Watershed Management Studies (56 papers), Climate variability and models (42 papers) and Hydrology and Drought Analysis (41 papers). Scott Steinschneider collaborates with scholars based in United States, China and South Korea. Scott Steinschneider's co-authors include Casey Brown, Sungwook Wi, Upmanu Lall, Jonathan D. Herman, Julianne D. Quinn, Kuk‐Hyun Ahn, Sarah Fletcher, Matteo Giuliani, Yi‐Chen E. Yang and Austin Polebitski and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Scott Steinschneider

115 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Steinschneider United States 26 1.5k 1.3k 624 536 354 120 2.3k
Andreas Efstratiadis Greece 26 1.3k 0.9× 1.4k 1.1× 424 0.7× 314 0.6× 499 1.4× 93 2.2k
A. Sankarasubramanian United States 31 2.2k 1.5× 2.3k 1.8× 521 0.8× 667 1.2× 716 2.0× 123 3.2k
Dedi Liu China 28 1.1k 0.7× 1.4k 1.1× 719 1.2× 301 0.6× 453 1.3× 99 2.2k
Newsha Ajami United States 19 1.3k 0.9× 1.5k 1.2× 491 0.8× 416 0.8× 763 2.2× 46 2.3k
Ramesh S. V. Teegavarapu United States 24 945 0.6× 735 0.6× 374 0.6× 660 1.2× 450 1.3× 110 1.8k
Andreas Schumann Germany 21 1.5k 1.0× 1.3k 1.0× 383 0.6× 390 0.7× 384 1.1× 91 2.1k
Ilias Pechlivanidis Sweden 22 1.3k 0.9× 1.4k 1.1× 183 0.3× 370 0.7× 481 1.4× 72 1.8k
Edith Zagona United States 24 916 0.6× 1.3k 1.0× 849 1.4× 244 0.5× 375 1.1× 54 2.0k
Chesheng Zhan China 30 1.5k 1.0× 1.5k 1.2× 266 0.4× 484 0.9× 711 2.0× 87 2.7k
David Pulido‐Velazquez Spain 27 790 0.5× 1.1k 0.8× 367 0.6× 299 0.6× 676 1.9× 70 1.8k

Countries citing papers authored by Scott Steinschneider

Since Specialization
Citations

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

Fields of papers citing papers by Scott Steinschneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Steinschneider

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Steinschneider. A scholar is included among the top collaborators of Scott Steinschneider 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 Scott Steinschneider. Scott Steinschneider 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.
Wi, Sungwook, et al.. (2025). Pooling local climate and donor gauges with deep learning for improved reconstructions of streamflow in ungauged and partially gauged basins. Journal of Hydrology. 661. 133764–133764. 1 indexed citations
2.
Steinschneider, Scott, et al.. (2025). Compound coastal flooding in San Francisco Bay under climate change. SHILAP Revista de lepidopterología. 2(1). 8 indexed citations
3.
Lamontagne, Jonathan, et al.. (2024). Characterizing future streamflows in Massachusetts using stochastic modeling—A pilot study. Scientific investigations report.
4.
Steinschneider, Scott, et al.. (2024). Synthetic Forecast Ensembles for Evaluating Forecast Informed Reservoir Operations. Water Resources Research. 60(2). 6 indexed citations
5.
Steinschneider, Scott, et al.. (2024). Variability, Attributes, and Drivers of Optimal Forecast-Informed Reservoir Operating Policies for Water Supply and Flood Control in California. Journal of Water Resources Planning and Management. 150(10). 3 indexed citations
6.
Steinschneider, Scott, et al.. (2024). A hybrid statistical–dynamical framework for compound coastal flooding analysis. Environmental Research Letters. 20(1). 14005–14005. 7 indexed citations
7.
Kabir, Elnaz, et al.. (2024). Quantifying the impact of multi-scale climate variability on electricity prices in a renewable-dominated power grid. Renewable Energy. 223. 120013–120013. 14 indexed citations
8.
Williams, Park, et al.. (2023). Six Hundred Years of Reconstructed Atmospheric River Activity Along the US West Coast. Journal of Geophysical Research Atmospheres. 128(12). 4 indexed citations
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Malek, Keyvan, Patrick M. Reed, Harrison B. Zeff, et al.. (2021). Bias Correction of Hydrologic Projections Strongly Impacts Inferred Climate Vulnerabilities in Institutionally Complex Water Systems. Journal of Water Resources Planning and Management. 148(1). 11 indexed citations
12.
Quinn, Julianne D., Antonia Hadjimichael, Patrick M. Reed, & Scott Steinschneider. (2020). Can Exploratory Modeling of Water Scarcity Vulnerabilities and Robustness Be Scenario Neutral?. Earth s Future. 8(11). 34 indexed citations
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Ling, Yuhan, Max J. Klemes, Scott Steinschneider, William R. Dichtel, & Damian E. Helbling. (2019). QSARs to predict adsorption affinity of organic micropollutants for activated carbon and β-cyclodextrin polymer adsorbents. Water Research. 154. 217–226. 56 indexed citations
15.
Fu, Wei, et al.. (2018). The potential of hydroclimatic forecasts to inform lake level management on Lake Ontario. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
16.
Knighton, James, Scott Steinschneider, & M. Todd Walter. (2017). A Vulnerability‐Based, Bottom‐up Assessment of Future Riverine Flood Risk Using a Modified Peaks‐Over‐Threshold Approach and a Physically Based Hydrologic Model. Water Resources Research. 53(12). 10043–10064. 40 indexed citations
17.
Steinschneider, Scott, et al.. (2017). Balancing Flood Risk and Water Supply in California: Policy Search Combining Short-Term Forecast Ensembles and Groundwater Recharge. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
18.
Steinschneider, Scott, et al.. (2014). The Effects of Climate Model Similarity on Local, Risk-Based Adaptation Planning. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
19.
Steinschneider, Scott, et al.. (2012). A semiparametric multivariate and multi-site weather generator with a low-frequency variability component for use in bottom-up, risk-based climate change assessments. AGUFM. 2012. 1 indexed citations
20.
Polebitski, Austin, et al.. (2011). A statistical framework to test the significance of hydrologic alteration under future climate scenarios. AGU Fall Meeting Abstracts. 2011. 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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